Having GoPro Accessories Is Easy, but Editing on GoPro Quik Is Challenging. Read This Guide and, Stepwise, Learn to Use GoPro Slow-Motion for Perfect Shots

Slow-motion videos are a new phenomenon in engaging audiences. In this decade, such effects add a dramatic feel to empathize movie clips. Slow motion is an effective way to keep viewers hooked to the content. Now, the question arises of which could be the best way to make a perfect GoPro slow-mo. To find an answer, read this guide and achieve high-quality slow-mo videos with GoPro.

Let us tell you first that GoPro is primarily a company for camera accessories. Besides, there is GoPro Quik, which is responsible for dedicated video editing. Many professionals rely on GoPro slow-motion to change video speed with a single tap. Thus, without wasting time, delve into the details given and learn to make GoPro 11 slow motion with the best available accessories.

Slow Motion Video Maker Slow your video’s speed with better control of your keyframes to create unique cinematic effects!

Make A Slow Motion Video Make A Slow Motion Video More Features

Part 1: Slowing Down Videos on Your GoPro: A Guide

GoPro offers Sony Vegas Pro Slow Motion to record videos in slow motion. Does using such technical equipment seem challenging for you as a new user? Follow this step-by-step guide and set the camera before recording to make a perfect slow-mo shot.

Step 1

Set the resolution to 2.7k for a slow-motion video and a frame rate of 240fps. Afterward, keep the “Color” natural if you don’t want to color grade it. Moreover, adjust the “Sharping” low by using its respective options.

Step 2

Reset the “Hyper Smooth” to high and later turn ISO to a minimum of 100 and a maximum of 800. Then, head to set the “Shutter Speed” and “White Balance” to auto.

Step 3

Moving ahead, choose Lens to “Linear” and keep the “Bitrate” high. Finally, select the “Exposure Value Compensation” to -0.5 using its slider. Your camera is ready to capture your desired and captivating slow-motion shots.

Part 2: Slow Down Videos on GoPro Quik After Recording

After recording the required clip, post-editing is important to polish the digital content. GoPro also offers GoPro Quik to edit slow-motion videos to your desired extent. Unfortunately, not everyone can quickly discover Go Pro slow motion in their first use. That’s why it’s necessary to follow the given steps so you can easily discover and edit slow motion.

Step 1

Access the GoPro Quick on your device and launch it. Choose the “Media” icon in the bottom bar and select the video you want to edit. After importing the required media files, start working on a project.

Step 2

Select the “Pen” icon in the bottom bar and scroll the menu to the left side. Here, choose the “Speed” option and tap the “+” icon to drag the slider to the point where you want to apply the slow motion. Hit the end mark and get a preview of smooth speed ramping in slow motion.

Part 3: Make Better Slow-Motion Videos with Wondershare Filmora

Making a slow motion means spending cognitive effort and time on a project. Thus, video editors seek a reliable platform like GoPro Hero 11, which is slow motion. Unfortunately, this editing app is outdated, and other better platforms are being developed. In search of the latest and easy-to-use video editor, use Wondershare Filmora .

It is a video editing software with various powerful editing features compared with GoPro Quik. This platform can perform more tasks than trimming, merging, and splitting clips. Filmora is equipped with AI technology to provide maximum ease to users. You can use this tool to ensure a smooth workflow and boost your productivity.

Why Filmora is Better Than GoPro Quik?

Filmora provides many features that GoPro Quik does not offer. Everyone needs solid arguments and valid reasons to reconsider their choices. Thus, here we have highlighted some proven and logical reasons to use Filmora instead of GoPro:

• The first and foremost thing you can see is Filmora’s intuitive interface. Anyone without any video editing background can use this tool effectively for their projects.
• Video editors need assistance while editing perfect shots. Filmora offers an AI Copilot Editing system as your editing assistant, which GoPro does not provide. It directs users to create high-quality videos.

Free Download For Win 7 or later(64-bit)

Free Download For macOS 10.14 or later

• GoPro Quik allows you to edit up to 1-minute videos. In contrast, Filmora doesn’t restrict you from editing videos of a certain length.
• With Filmora AI, you can generate a customized script and turn it into a video. AI integration for unique content makes this tool better than GoPro Quik.
• Unlike GoPro Quik, getting personalized music tracks is possible with Filmora. It can create soundtracks that align with your project’s needs.
• Slow-motion GoPro can assist in speed-ramping videos for a smooth transition. Conversely, Filmora also offers an optical flow option to automate the speed ramping .
• Even GoPro Quik cannot remove vocals from the audio files. Using Filmora, this option is just a click away. It can automatically separate vocals from music tracks so you can dub high-quality videos.
• Using GoPro, users can share their videos on social media or export them anywhere. In comparison, Filmora allows you to adjust resolution, quality, project name, and destination.
• AI in Filmora can generate images with your prompts that will not claim legal rights. This service is unavailable in GoPro; it is just limited to video editing.
• Last but not least, Filmora can transform your text into engaging videos. By doing so, you can save the budget for actors, video editors, and other crew.

Step-by-Step Guide to Slow Down Video With Filmora

After learning the exceptional functionalities of Filmora, you might be considering using it. To put you at ease, we have explained stepwise usage of achieving slow motion with Filmora. It’s quite easier and more automatic than GoPro slow motion:

Free Download For Win 7 or later(64-bit)

Free Download For macOS 10.14 or later

Step 1: Install Filmora V13 and Import Your Media

Go to the official site of Wondershare Filmora and download its latest version, V13. Launch it in your system and access its intuitive main interface. Choose “New Project” from its home screen and enter in the editing screen. Press your keyboard’s “Ctrl + I” keys and import your desired file in Filmora.

Step 2: Use the Optical Flow Option and Slow Down the Video Speed

Drag and drop the imported video in the timeline section. Place your cursor on that video and right-click on it. Hit the “Uniform Speed” option from the displayed list and direct toward the right-side editing panel. There, use the “Speed” slider and slow down the video as required. Move downward and extend the “AI Frame Interpolation” menu to pick the “Optical Flow.”

Step 3: Preview the Results to Export or Continue to Edit

Finally, get a preview of a slower but high-quality video by pressing the “Space” key. Afterward, if you are satisfied with the results, move to the “Export” option at the top right. Now, set the output settings based on how you want to save the video. Finally, press the “Export” button to save the results on your system.

Conclusion

To summarize, the GoPro camera is available in the market to capture slow-motion shots. On the other hand, GoPro Quik is an editing tool that has been popular for a decade. Many users are unaware of the latest video editing software, Wondershare Filmora. It is an AI-powered platform that has proven to be better than GoPro slow-motion, as discussed above.

Make A Slow Motion Video Make A Slow Motion Video More Features

Part 1: Slowing Down Videos on Your GoPro: A Guide

GoPro offers Sony Vegas Pro Slow Motion to record videos in slow motion. Does using such technical equipment seem challenging for you as a new user? Follow this step-by-step guide and set the camera before recording to make a perfect slow-mo shot.

Step 1

Set the resolution to 2.7k for a slow-motion video and a frame rate of 240fps. Afterward, keep the “Color” natural if you don’t want to color grade it. Moreover, adjust the “Sharping” low by using its respective options.

Step 2

Reset the “Hyper Smooth” to high and later turn ISO to a minimum of 100 and a maximum of 800. Then, head to set the “Shutter Speed” and “White Balance” to auto.

Step 3

Moving ahead, choose Lens to “Linear” and keep the “Bitrate” high. Finally, select the “Exposure Value Compensation” to -0.5 using its slider. Your camera is ready to capture your desired and captivating slow-motion shots.

Part 2: Slow Down Videos on GoPro Quik After Recording

After recording the required clip, post-editing is important to polish the digital content. GoPro also offers GoPro Quik to edit slow-motion videos to your desired extent. Unfortunately, not everyone can quickly discover Go Pro slow motion in their first use. That’s why it’s necessary to follow the given steps so you can easily discover and edit slow motion.

Step 1

Access the GoPro Quick on your device and launch it. Choose the “Media” icon in the bottom bar and select the video you want to edit. After importing the required media files, start working on a project.

Step 2

Select the “Pen” icon in the bottom bar and scroll the menu to the left side. Here, choose the “Speed” option and tap the “+” icon to drag the slider to the point where you want to apply the slow motion. Hit the end mark and get a preview of smooth speed ramping in slow motion.

Part 3: Make Better Slow-Motion Videos with Wondershare Filmora

Making a slow motion means spending cognitive effort and time on a project. Thus, video editors seek a reliable platform like GoPro Hero 11, which is slow motion. Unfortunately, this editing app is outdated, and other better platforms are being developed. In search of the latest and easy-to-use video editor, use Wondershare Filmora .

It is a video editing software with various powerful editing features compared with GoPro Quik. This platform can perform more tasks than trimming, merging, and splitting clips. Filmora is equipped with AI technology to provide maximum ease to users. You can use this tool to ensure a smooth workflow and boost your productivity.

Why Filmora is Better Than GoPro Quik?

Filmora provides many features that GoPro Quik does not offer. Everyone needs solid arguments and valid reasons to reconsider their choices. Thus, here we have highlighted some proven and logical reasons to use Filmora instead of GoPro:

• The first and foremost thing you can see is Filmora’s intuitive interface. Anyone without any video editing background can use this tool effectively for their projects.
• Video editors need assistance while editing perfect shots. Filmora offers an AI Copilot Editing system as your editing assistant, which GoPro does not provide. It directs users to create high-quality videos.

Free Download For Win 7 or later(64-bit)

Free Download For macOS 10.14 or later

• GoPro Quik allows you to edit up to 1-minute videos. In contrast, Filmora doesn’t restrict you from editing videos of a certain length.
• With Filmora AI, you can generate a customized script and turn it into a video. AI integration for unique content makes this tool better than GoPro Quik.
• Unlike GoPro Quik, getting personalized music tracks is possible with Filmora. It can create soundtracks that align with your project’s needs.
• Slow-motion GoPro can assist in speed-ramping videos for a smooth transition. Conversely, Filmora also offers an optical flow option to automate the speed ramping .
• Even GoPro Quik cannot remove vocals from the audio files. Using Filmora, this option is just a click away. It can automatically separate vocals from music tracks so you can dub high-quality videos.
• Using GoPro, users can share their videos on social media or export them anywhere. In comparison, Filmora allows you to adjust resolution, quality, project name, and destination.
• AI in Filmora can generate images with your prompts that will not claim legal rights. This service is unavailable in GoPro; it is just limited to video editing.
• Last but not least, Filmora can transform your text into engaging videos. By doing so, you can save the budget for actors, video editors, and other crew.

Step-by-Step Guide to Slow Down Video With Filmora

After learning the exceptional functionalities of Filmora, you might be considering using it. To put you at ease, we have explained stepwise usage of achieving slow motion with Filmora. It’s quite easier and more automatic than GoPro slow motion:

Free Download For Win 7 or later(64-bit)

Free Download For macOS 10.14 or later

Step 1: Install Filmora V13 and Import Your Media

Go to the official site of Wondershare Filmora and download its latest version, V13. Launch it in your system and access its intuitive main interface. Choose “New Project” from its home screen and enter in the editing screen. Press your keyboard’s “Ctrl + I” keys and import your desired file in Filmora.

Step 2: Use the Optical Flow Option and Slow Down the Video Speed

Drag and drop the imported video in the timeline section. Place your cursor on that video and right-click on it. Hit the “Uniform Speed” option from the displayed list and direct toward the right-side editing panel. There, use the “Speed” slider and slow down the video as required. Move downward and extend the “AI Frame Interpolation” menu to pick the “Optical Flow.”

Step 3: Preview the Results to Export or Continue to Edit

Finally, get a preview of a slower but high-quality video by pressing the “Space” key. Afterward, if you are satisfied with the results, move to the “Export” option at the top right. Now, set the output settings based on how you want to save the video. Finally, press the “Export” button to save the results on your system.

Conclusion

To summarize, the GoPro camera is available in the market to capture slow-motion shots. On the other hand, GoPro Quik is an editing tool that has been popular for a decade. Many users are unaware of the latest video editing software, Wondershare Filmora. It is an AI-powered platform that has proven to be better than GoPro slow-motion, as discussed above.

Everything You Need to Know About Color Grading in Photography

Create High-Quality Video - Wondershare Filmora

An easy and powerful YouTube video editor

Numerous video and audio effects to choose from

Detailed tutorials provided by the official channel

Try It Free Try It Free

Have you recognized how flat your images look when you take them with your camera? While the scenery may be beautiful and your photography skills may be amazing, there’s always something missing. That “thing” is color grading, and that may be why your favorite superstar’s pictures appear better than yours. You can color grade your videos to produce the same effect too.

Color grading photography refers to a post-production process that improves your images by altering their color. The result of an excellent color grading process is an image that looks more appealing and refined. It’s what gives a picture some professional touch.

If you want to learn more about color grading photography, this article will let you in on all you need to know. From essential color grading steps to terms, tools, etc., you can begin your journey to cool and exciting images after reading.

In this article

01 Don’t Confuse Color Grading With Color Correction

02 Color Grading in LightRoom

03 Common Steps To Color Grade a Photo

04 Tips For Color Grading Photography

Don’t Confuse Color Grading With Color Correction

The first way to fully appreciate color grading is by differentiating it from its closest term—color correction. Many people use both of them interchangeably, and that’s wrong. Although color grading and color correction are post-production processes that enhance image colors, they perform different roles.

Here’s how to differentiate color grading from color correction:

Differentiating Factor	Color Grading ;	Color Correction
Definition	Color grading is a process that enhances an image’s color by stylizing or giving it a cinematic appearance.	Color correction is a process that adjusts color mistakes in an image by giving it a consistent appearance. This process balances colors by adjusting whites and blacks.
Purpose	The primary aim of color grading an image is to evoke specific emotions in the viewers. Color grading leverages the emotional and psychological effects of colors to manipulate the viewers’ moods. You can use color grading to give your images different tones or themes like fear, femininity, youthfulness, passion, anger, sadness, etc.	Unlike color grading, the color correction does very little in setting the tone or mood that an image carries. Instead, it corrects specific mistakes in the image to make it look as natural to the human eyes as possible. Generally, camera lenses and the human eyes view pictures differently. Color correction changes a photo’s look to make it more appealing to humans than the camera. It makes black colors appear darker and adds more white to whites to create the desired effect.
Stage in the production process	Color grading typically comes after color correction in the post-production process. That’s because the effects of color grading are more appealing on a color-corrected picture.	Color correction comes before color grading. This process does the major work of balancing colors and correcting errors. Color grading only fine-tunes what color correction has done, giving it a professional finish.
Example	One of the most obvious examples of color grading is in motion pictures. For example, Sci-Fi movies typically have a very saturated blue color. However, you will notice a little redder in romantic movies. Note that filmmakers can use different color grades in movies to draw attention to specific details or represent changes in the storyline. Color grading produces the same effects in pictures.	Color correction is most prominent in documentaries to make pictures and videos look more real to the human eye. Other times, color corrections just adjust one color to merge the rest of the image or video.

Terms and Tools Used In Color Grading

These are the most common terminologies photo editors use when color grading an image:

● Hue

Hue is the general name for describing pure color. That means it defines color without alluding to its brightness, vividness, etc. It describes a color’s position in the color wheel.

● Saturation

When a photo editor talks about saturation, they refer to the hue concentration that defines a specific color. Saturation describes color shades and focuses on how colorful they are. Examples of colors with zero saturation are white, black, and grey.

● Luminance

Luminous describes how bright, well-lighted or dark a color is. Highlights, mids, and shadows can influence luminance.

● Additive Color

Additive colors are non-primary colors. However, they typically result from mixing primary colors (blue, red, green).

● Color Cast

Color cast means that the image’s coloring doesn’t look as natural as it should be. This usually happens when different light sources get mixed.

● Temperature

Temperature defines how cool or warm a color is. Cool temperatures typically describe blues and purples, while orange and red represent the warmth.

The essential tools for color grading include

● White Balance

White balance helps to make your photos look more natural by correcting color cast issues. After using white balance, the result is that the whites in your pictures would look exactly like the human eye will perceive it. White balance adjusts your image’s color cast to make them look warmer or cooler.

● Brightness and Contrast

Brightness and contrast are essential in color grading and are among the most used photo editing tools. Different sliders control brightness and contrast during editing. It’s important to note that your image’s brightness will affect the contrast and vice-versa. That’s why they usually appear together, even if they refer to different tools.

● The Three-Way Color Corrector

Many photographers refer to the three-way corrector as the color correction’s workhorse. That’s because this tool adjusts hue, saturation, brightness, and contrast in a single interface. The three-way corrector performs the job of three tools in one interface. Using the three-way corrector ensures that you work faster than usual.

● The Fast Color Corrector

The fast color corrector is like the three-way corrector. However, there are many limitations with the number of potential looks you can achieve with this tool. The fast color corrector primarily focuses on adjusting tint and saturation. Its major advantage over the three-way corrector is its user-friendliness and simplicity.

● Curves

While using curves is pretty complicated, the tool offers impressive functionality that you can’t refuse. Curves are very powerful and precise. Their main function is to overhaul or remove your image’s brightness altogether to give it a distinctive look.

● The Unsharp Mask and Sharpening Tools

With the unsharp mask and sharpening tools, you can give your picture’s edges a sharp illusion by modifying the contrast. This is typically useful for images that you shoot in dark conditions.

Sharp pictures are always a lovely sight. However, these tools can’t correct pictures taken out of focus. To get the best results from these tools. Then you can start moving them back till you get your desired sharpness.

● Color Match

As the make implies, color match tools modify a target picture’s colors to fit the reference image. This is an automatic process and helps to save time.

Common Steps To Color Grade a Photo

These are the essential stages for color grading your images:

● Step 1:
The first step in color grading is deciding how warm or cool you want your image to look. Then, modify the white balance to suit your desired warmth or coolness.

● Step 2:
After adjusting the white balance, the next step is to adjust saturation or hue.

● Step 3:
The next step is to focus on the histogram. A histogram is a common feature in many photo editing software that informs you of your image’s tonal values. The goal in this stage is to ensure equal color distribution. Keep adjusting your image till the colors are even.

● Step 4:
Work on your highlights and shadows by modifying the green, red, and blue curves. Also, adjust your vibrancy setting for a good effect.

● Step 5:
Explore split toning. Split toning is a process that involves adding colors to highlight and shadows independently. Learning how to split tone can make a difference in your photo editing.

Tips For Color Grading Photography

The following best practices will enhance your color grading:

• About oversaturation or under-saturation. Your saturation should be just right to produce the perfect result. So, always be sure to pay maximum attention to this process. This tip is particularly useful when working with portraits.
• Remember that color grading doesn’t fix a bad shot. So, be sure to improve your photography skills and take the best shots for excellent color grading results.
• Shoot your images in RAW. Doing this guarantees more control over your pictures’ colors.
• Always experiment with different looks until you get your precise effect. Lightroom is one of the best color grading apps to use.
• Exercise maximum caution when manipulating backgrounds. Don’t do too much, especially when you’re taking an indoor shot. That’s because manipulating indoor backgrounds too much can mismatch the foreground and background, making your portrait look weird.

Conclusion

● While your photography skills are essential in influencing your image’s outcome; your color grading skills will take it to another level. It’s one of the fastest ways to make a budding photo editor look like a pro.

● After reading this article, you can be sure that you have the basic information you need to achieve your editing goals. However, you mustn’t stop here. Continuous learning, especially through constant practice, is the way to go. You can visit Filmora today for the best color grading packages and tools.

Try It Free Try It Free

Have you recognized how flat your images look when you take them with your camera? While the scenery may be beautiful and your photography skills may be amazing, there’s always something missing. That “thing” is color grading, and that may be why your favorite superstar’s pictures appear better than yours. You can color grade your videos to produce the same effect too.

Color grading photography refers to a post-production process that improves your images by altering their color. The result of an excellent color grading process is an image that looks more appealing and refined. It’s what gives a picture some professional touch.

If you want to learn more about color grading photography, this article will let you in on all you need to know. From essential color grading steps to terms, tools, etc., you can begin your journey to cool and exciting images after reading.

In this article

01 Don’t Confuse Color Grading With Color Correction

02 Color Grading in LightRoom

03 Common Steps To Color Grade a Photo

04 Tips For Color Grading Photography

Don’t Confuse Color Grading With Color Correction

The first way to fully appreciate color grading is by differentiating it from its closest term—color correction. Many people use both of them interchangeably, and that’s wrong. Although color grading and color correction are post-production processes that enhance image colors, they perform different roles.

Here’s how to differentiate color grading from color correction:

Differentiating Factor	Color Grading ;	Color Correction
Definition	Color grading is a process that enhances an image’s color by stylizing or giving it a cinematic appearance.	Color correction is a process that adjusts color mistakes in an image by giving it a consistent appearance. This process balances colors by adjusting whites and blacks.
Purpose	The primary aim of color grading an image is to evoke specific emotions in the viewers. Color grading leverages the emotional and psychological effects of colors to manipulate the viewers’ moods. You can use color grading to give your images different tones or themes like fear, femininity, youthfulness, passion, anger, sadness, etc.	Unlike color grading, the color correction does very little in setting the tone or mood that an image carries. Instead, it corrects specific mistakes in the image to make it look as natural to the human eyes as possible. Generally, camera lenses and the human eyes view pictures differently. Color correction changes a photo’s look to make it more appealing to humans than the camera. It makes black colors appear darker and adds more white to whites to create the desired effect.
Stage in the production process	Color grading typically comes after color correction in the post-production process. That’s because the effects of color grading are more appealing on a color-corrected picture.	Color correction comes before color grading. This process does the major work of balancing colors and correcting errors. Color grading only fine-tunes what color correction has done, giving it a professional finish.
Example	One of the most obvious examples of color grading is in motion pictures. For example, Sci-Fi movies typically have a very saturated blue color. However, you will notice a little redder in romantic movies. Note that filmmakers can use different color grades in movies to draw attention to specific details or represent changes in the storyline. Color grading produces the same effects in pictures.	Color correction is most prominent in documentaries to make pictures and videos look more real to the human eye. Other times, color corrections just adjust one color to merge the rest of the image or video.

Terms and Tools Used In Color Grading

These are the most common terminologies photo editors use when color grading an image:

● Hue

Hue is the general name for describing pure color. That means it defines color without alluding to its brightness, vividness, etc. It describes a color’s position in the color wheel.

● Saturation

When a photo editor talks about saturation, they refer to the hue concentration that defines a specific color. Saturation describes color shades and focuses on how colorful they are. Examples of colors with zero saturation are white, black, and grey.

● Luminance

Luminous describes how bright, well-lighted or dark a color is. Highlights, mids, and shadows can influence luminance.

● Additive Color

Additive colors are non-primary colors. However, they typically result from mixing primary colors (blue, red, green).

● Color Cast

Color cast means that the image’s coloring doesn’t look as natural as it should be. This usually happens when different light sources get mixed.

● Temperature

Temperature defines how cool or warm a color is. Cool temperatures typically describe blues and purples, while orange and red represent the warmth.

The essential tools for color grading include

● White Balance

White balance helps to make your photos look more natural by correcting color cast issues. After using white balance, the result is that the whites in your pictures would look exactly like the human eye will perceive it. White balance adjusts your image’s color cast to make them look warmer or cooler.

● Brightness and Contrast

Brightness and contrast are essential in color grading and are among the most used photo editing tools. Different sliders control brightness and contrast during editing. It’s important to note that your image’s brightness will affect the contrast and vice-versa. That’s why they usually appear together, even if they refer to different tools.

● The Three-Way Color Corrector

Many photographers refer to the three-way corrector as the color correction’s workhorse. That’s because this tool adjusts hue, saturation, brightness, and contrast in a single interface. The three-way corrector performs the job of three tools in one interface. Using the three-way corrector ensures that you work faster than usual.

● The Fast Color Corrector

The fast color corrector is like the three-way corrector. However, there are many limitations with the number of potential looks you can achieve with this tool. The fast color corrector primarily focuses on adjusting tint and saturation. Its major advantage over the three-way corrector is its user-friendliness and simplicity.

● Curves

While using curves is pretty complicated, the tool offers impressive functionality that you can’t refuse. Curves are very powerful and precise. Their main function is to overhaul or remove your image’s brightness altogether to give it a distinctive look.

● The Unsharp Mask and Sharpening Tools

With the unsharp mask and sharpening tools, you can give your picture’s edges a sharp illusion by modifying the contrast. This is typically useful for images that you shoot in dark conditions.

Sharp pictures are always a lovely sight. However, these tools can’t correct pictures taken out of focus. To get the best results from these tools. Then you can start moving them back till you get your desired sharpness.

● Color Match

As the make implies, color match tools modify a target picture’s colors to fit the reference image. This is an automatic process and helps to save time.

Common Steps To Color Grade a Photo

These are the essential stages for color grading your images:

● Step 1:
The first step in color grading is deciding how warm or cool you want your image to look. Then, modify the white balance to suit your desired warmth or coolness.

● Step 2:
After adjusting the white balance, the next step is to adjust saturation or hue.

● Step 3:
The next step is to focus on the histogram. A histogram is a common feature in many photo editing software that informs you of your image’s tonal values. The goal in this stage is to ensure equal color distribution. Keep adjusting your image till the colors are even.

● Step 4:
Work on your highlights and shadows by modifying the green, red, and blue curves. Also, adjust your vibrancy setting for a good effect.

● Step 5:
Explore split toning. Split toning is a process that involves adding colors to highlight and shadows independently. Learning how to split tone can make a difference in your photo editing.

Tips For Color Grading Photography

The following best practices will enhance your color grading:

• About oversaturation or under-saturation. Your saturation should be just right to produce the perfect result. So, always be sure to pay maximum attention to this process. This tip is particularly useful when working with portraits.
• Remember that color grading doesn’t fix a bad shot. So, be sure to improve your photography skills and take the best shots for excellent color grading results.
• Shoot your images in RAW. Doing this guarantees more control over your pictures’ colors.
• Always experiment with different looks until you get your precise effect. Lightroom is one of the best color grading apps to use.
• Exercise maximum caution when manipulating backgrounds. Don’t do too much, especially when you’re taking an indoor shot. That’s because manipulating indoor backgrounds too much can mismatch the foreground and background, making your portrait look weird.

Conclusion

● While your photography skills are essential in influencing your image’s outcome; your color grading skills will take it to another level. It’s one of the fastest ways to make a budding photo editor look like a pro.

● After reading this article, you can be sure that you have the basic information you need to achieve your editing goals. However, you mustn’t stop here. Continuous learning, especially through constant practice, is the way to go. You can visit Filmora today for the best color grading packages and tools.

Try It Free Try It Free

Have you recognized how flat your images look when you take them with your camera? While the scenery may be beautiful and your photography skills may be amazing, there’s always something missing. That “thing” is color grading, and that may be why your favorite superstar’s pictures appear better than yours. You can color grade your videos to produce the same effect too.

Color grading photography refers to a post-production process that improves your images by altering their color. The result of an excellent color grading process is an image that looks more appealing and refined. It’s what gives a picture some professional touch.

If you want to learn more about color grading photography, this article will let you in on all you need to know. From essential color grading steps to terms, tools, etc., you can begin your journey to cool and exciting images after reading.

In this article

01 Don’t Confuse Color Grading With Color Correction

02 Color Grading in LightRoom

03 Common Steps To Color Grade a Photo

04 Tips For Color Grading Photography

Don’t Confuse Color Grading With Color Correction

The first way to fully appreciate color grading is by differentiating it from its closest term—color correction. Many people use both of them interchangeably, and that’s wrong. Although color grading and color correction are post-production processes that enhance image colors, they perform different roles.

Here’s how to differentiate color grading from color correction:

Differentiating Factor	Color Grading ;	Color Correction
Definition	Color grading is a process that enhances an image’s color by stylizing or giving it a cinematic appearance.	Color correction is a process that adjusts color mistakes in an image by giving it a consistent appearance. This process balances colors by adjusting whites and blacks.
Purpose	The primary aim of color grading an image is to evoke specific emotions in the viewers. Color grading leverages the emotional and psychological effects of colors to manipulate the viewers’ moods. You can use color grading to give your images different tones or themes like fear, femininity, youthfulness, passion, anger, sadness, etc.	Unlike color grading, the color correction does very little in setting the tone or mood that an image carries. Instead, it corrects specific mistakes in the image to make it look as natural to the human eyes as possible. Generally, camera lenses and the human eyes view pictures differently. Color correction changes a photo’s look to make it more appealing to humans than the camera. It makes black colors appear darker and adds more white to whites to create the desired effect.
Stage in the production process	Color grading typically comes after color correction in the post-production process. That’s because the effects of color grading are more appealing on a color-corrected picture.	Color correction comes before color grading. This process does the major work of balancing colors and correcting errors. Color grading only fine-tunes what color correction has done, giving it a professional finish.
Example	One of the most obvious examples of color grading is in motion pictures. For example, Sci-Fi movies typically have a very saturated blue color. However, you will notice a little redder in romantic movies. Note that filmmakers can use different color grades in movies to draw attention to specific details or represent changes in the storyline. Color grading produces the same effects in pictures.	Color correction is most prominent in documentaries to make pictures and videos look more real to the human eye. Other times, color corrections just adjust one color to merge the rest of the image or video.

Terms and Tools Used In Color Grading

These are the most common terminologies photo editors use when color grading an image:

● Hue

Hue is the general name for describing pure color. That means it defines color without alluding to its brightness, vividness, etc. It describes a color’s position in the color wheel.

● Saturation

When a photo editor talks about saturation, they refer to the hue concentration that defines a specific color. Saturation describes color shades and focuses on how colorful they are. Examples of colors with zero saturation are white, black, and grey.

● Luminance

Luminous describes how bright, well-lighted or dark a color is. Highlights, mids, and shadows can influence luminance.

● Additive Color

Additive colors are non-primary colors. However, they typically result from mixing primary colors (blue, red, green).

● Color Cast

Color cast means that the image’s coloring doesn’t look as natural as it should be. This usually happens when different light sources get mixed.

● Temperature

Temperature defines how cool or warm a color is. Cool temperatures typically describe blues and purples, while orange and red represent the warmth.

The essential tools for color grading include

● White Balance

White balance helps to make your photos look more natural by correcting color cast issues. After using white balance, the result is that the whites in your pictures would look exactly like the human eye will perceive it. White balance adjusts your image’s color cast to make them look warmer or cooler.

● Brightness and Contrast

Brightness and contrast are essential in color grading and are among the most used photo editing tools. Different sliders control brightness and contrast during editing. It’s important to note that your image’s brightness will affect the contrast and vice-versa. That’s why they usually appear together, even if they refer to different tools.

● The Three-Way Color Corrector

Many photographers refer to the three-way corrector as the color correction’s workhorse. That’s because this tool adjusts hue, saturation, brightness, and contrast in a single interface. The three-way corrector performs the job of three tools in one interface. Using the three-way corrector ensures that you work faster than usual.

● The Fast Color Corrector

The fast color corrector is like the three-way corrector. However, there are many limitations with the number of potential looks you can achieve with this tool. The fast color corrector primarily focuses on adjusting tint and saturation. Its major advantage over the three-way corrector is its user-friendliness and simplicity.

● Curves

While using curves is pretty complicated, the tool offers impressive functionality that you can’t refuse. Curves are very powerful and precise. Their main function is to overhaul or remove your image’s brightness altogether to give it a distinctive look.

● The Unsharp Mask and Sharpening Tools

With the unsharp mask and sharpening tools, you can give your picture’s edges a sharp illusion by modifying the contrast. This is typically useful for images that you shoot in dark conditions.

Sharp pictures are always a lovely sight. However, these tools can’t correct pictures taken out of focus. To get the best results from these tools. Then you can start moving them back till you get your desired sharpness.

● Color Match

As the make implies, color match tools modify a target picture’s colors to fit the reference image. This is an automatic process and helps to save time.

Common Steps To Color Grade a Photo

These are the essential stages for color grading your images:

● Step 1:
The first step in color grading is deciding how warm or cool you want your image to look. Then, modify the white balance to suit your desired warmth or coolness.

● Step 2:
After adjusting the white balance, the next step is to adjust saturation or hue.

● Step 3:
The next step is to focus on the histogram. A histogram is a common feature in many photo editing software that informs you of your image’s tonal values. The goal in this stage is to ensure equal color distribution. Keep adjusting your image till the colors are even.

● Step 4:
Work on your highlights and shadows by modifying the green, red, and blue curves. Also, adjust your vibrancy setting for a good effect.

● Step 5:
Explore split toning. Split toning is a process that involves adding colors to highlight and shadows independently. Learning how to split tone can make a difference in your photo editing.

Tips For Color Grading Photography

The following best practices will enhance your color grading:

• About oversaturation or under-saturation. Your saturation should be just right to produce the perfect result. So, always be sure to pay maximum attention to this process. This tip is particularly useful when working with portraits.
• Remember that color grading doesn’t fix a bad shot. So, be sure to improve your photography skills and take the best shots for excellent color grading results.
• Shoot your images in RAW. Doing this guarantees more control over your pictures’ colors.
• Always experiment with different looks until you get your precise effect. Lightroom is one of the best color grading apps to use.
• Exercise maximum caution when manipulating backgrounds. Don’t do too much, especially when you’re taking an indoor shot. That’s because manipulating indoor backgrounds too much can mismatch the foreground and background, making your portrait look weird.

Conclusion

● While your photography skills are essential in influencing your image’s outcome; your color grading skills will take it to another level. It’s one of the fastest ways to make a budding photo editor look like a pro.

● After reading this article, you can be sure that you have the basic information you need to achieve your editing goals. However, you mustn’t stop here. Continuous learning, especially through constant practice, is the way to go. You can visit Filmora today for the best color grading packages and tools.

Try It Free Try It Free

Have you recognized how flat your images look when you take them with your camera? While the scenery may be beautiful and your photography skills may be amazing, there’s always something missing. That “thing” is color grading, and that may be why your favorite superstar’s pictures appear better than yours. You can color grade your videos to produce the same effect too.

Color grading photography refers to a post-production process that improves your images by altering their color. The result of an excellent color grading process is an image that looks more appealing and refined. It’s what gives a picture some professional touch.

If you want to learn more about color grading photography, this article will let you in on all you need to know. From essential color grading steps to terms, tools, etc., you can begin your journey to cool and exciting images after reading.

In this article

01 Don’t Confuse Color Grading With Color Correction

02 Color Grading in LightRoom

03 Common Steps To Color Grade a Photo

04 Tips For Color Grading Photography

Don’t Confuse Color Grading With Color Correction

The first way to fully appreciate color grading is by differentiating it from its closest term—color correction. Many people use both of them interchangeably, and that’s wrong. Although color grading and color correction are post-production processes that enhance image colors, they perform different roles.

Here’s how to differentiate color grading from color correction:

Differentiating Factor	Color Grading ;	Color Correction
Definition	Color grading is a process that enhances an image’s color by stylizing or giving it a cinematic appearance.	Color correction is a process that adjusts color mistakes in an image by giving it a consistent appearance. This process balances colors by adjusting whites and blacks.
Purpose	The primary aim of color grading an image is to evoke specific emotions in the viewers. Color grading leverages the emotional and psychological effects of colors to manipulate the viewers’ moods. You can use color grading to give your images different tones or themes like fear, femininity, youthfulness, passion, anger, sadness, etc.	Unlike color grading, the color correction does very little in setting the tone or mood that an image carries. Instead, it corrects specific mistakes in the image to make it look as natural to the human eyes as possible. Generally, camera lenses and the human eyes view pictures differently. Color correction changes a photo’s look to make it more appealing to humans than the camera. It makes black colors appear darker and adds more white to whites to create the desired effect.
Stage in the production process	Color grading typically comes after color correction in the post-production process. That’s because the effects of color grading are more appealing on a color-corrected picture.	Color correction comes before color grading. This process does the major work of balancing colors and correcting errors. Color grading only fine-tunes what color correction has done, giving it a professional finish.
Example	One of the most obvious examples of color grading is in motion pictures. For example, Sci-Fi movies typically have a very saturated blue color. However, you will notice a little redder in romantic movies. Note that filmmakers can use different color grades in movies to draw attention to specific details or represent changes in the storyline. Color grading produces the same effects in pictures.	Color correction is most prominent in documentaries to make pictures and videos look more real to the human eye. Other times, color corrections just adjust one color to merge the rest of the image or video.

Terms and Tools Used In Color Grading

These are the most common terminologies photo editors use when color grading an image:

● Hue

Hue is the general name for describing pure color. That means it defines color without alluding to its brightness, vividness, etc. It describes a color’s position in the color wheel.

● Saturation

When a photo editor talks about saturation, they refer to the hue concentration that defines a specific color. Saturation describes color shades and focuses on how colorful they are. Examples of colors with zero saturation are white, black, and grey.

● Luminance

Luminous describes how bright, well-lighted or dark a color is. Highlights, mids, and shadows can influence luminance.

● Additive Color

Additive colors are non-primary colors. However, they typically result from mixing primary colors (blue, red, green).

● Color Cast

Color cast means that the image’s coloring doesn’t look as natural as it should be. This usually happens when different light sources get mixed.

● Temperature

Temperature defines how cool or warm a color is. Cool temperatures typically describe blues and purples, while orange and red represent the warmth.

The essential tools for color grading include

● White Balance

White balance helps to make your photos look more natural by correcting color cast issues. After using white balance, the result is that the whites in your pictures would look exactly like the human eye will perceive it. White balance adjusts your image’s color cast to make them look warmer or cooler.

● Brightness and Contrast

Brightness and contrast are essential in color grading and are among the most used photo editing tools. Different sliders control brightness and contrast during editing. It’s important to note that your image’s brightness will affect the contrast and vice-versa. That’s why they usually appear together, even if they refer to different tools.

● The Three-Way Color Corrector

Many photographers refer to the three-way corrector as the color correction’s workhorse. That’s because this tool adjusts hue, saturation, brightness, and contrast in a single interface. The three-way corrector performs the job of three tools in one interface. Using the three-way corrector ensures that you work faster than usual.

● The Fast Color Corrector

The fast color corrector is like the three-way corrector. However, there are many limitations with the number of potential looks you can achieve with this tool. The fast color corrector primarily focuses on adjusting tint and saturation. Its major advantage over the three-way corrector is its user-friendliness and simplicity.

● Curves

While using curves is pretty complicated, the tool offers impressive functionality that you can’t refuse. Curves are very powerful and precise. Their main function is to overhaul or remove your image’s brightness altogether to give it a distinctive look.

● The Unsharp Mask and Sharpening Tools

With the unsharp mask and sharpening tools, you can give your picture’s edges a sharp illusion by modifying the contrast. This is typically useful for images that you shoot in dark conditions.

Sharp pictures are always a lovely sight. However, these tools can’t correct pictures taken out of focus. To get the best results from these tools. Then you can start moving them back till you get your desired sharpness.

● Color Match

As the make implies, color match tools modify a target picture’s colors to fit the reference image. This is an automatic process and helps to save time.

Common Steps To Color Grade a Photo

These are the essential stages for color grading your images:

● Step 1:
The first step in color grading is deciding how warm or cool you want your image to look. Then, modify the white balance to suit your desired warmth or coolness.

● Step 2:
After adjusting the white balance, the next step is to adjust saturation or hue.

● Step 3:
The next step is to focus on the histogram. A histogram is a common feature in many photo editing software that informs you of your image’s tonal values. The goal in this stage is to ensure equal color distribution. Keep adjusting your image till the colors are even.

● Step 4:
Work on your highlights and shadows by modifying the green, red, and blue curves. Also, adjust your vibrancy setting for a good effect.

● Step 5:
Explore split toning. Split toning is a process that involves adding colors to highlight and shadows independently. Learning how to split tone can make a difference in your photo editing.

Tips For Color Grading Photography

The following best practices will enhance your color grading:

• About oversaturation or under-saturation. Your saturation should be just right to produce the perfect result. So, always be sure to pay maximum attention to this process. This tip is particularly useful when working with portraits.
• Remember that color grading doesn’t fix a bad shot. So, be sure to improve your photography skills and take the best shots for excellent color grading results.
• Shoot your images in RAW. Doing this guarantees more control over your pictures’ colors.
• Always experiment with different looks until you get your precise effect. Lightroom is one of the best color grading apps to use.
• Exercise maximum caution when manipulating backgrounds. Don’t do too much, especially when you’re taking an indoor shot. That’s because manipulating indoor backgrounds too much can mismatch the foreground and background, making your portrait look weird.

Conclusion

● While your photography skills are essential in influencing your image’s outcome; your color grading skills will take it to another level. It’s one of the fastest ways to make a budding photo editor look like a pro.

● After reading this article, you can be sure that you have the basic information you need to achieve your editing goals. However, you mustn’t stop here. Continuous learning, especially through constant practice, is the way to go. You can visit Filmora today for the best color grading packages and tools.

If You’re Wondering How to Employ Transition Effects in Your Videos to Create Your Signature Look, This Article Can Help

How do travel vloggers instantly grab everyone’s attention with their magical content? The unique animation preset is the answer. Video makers use them to morph video clips into scenic views that make viewers’ jaws drop in awe. Also, these edits can cover up any flaws made during the production of the original video clip. Isn’t it cool?

You might be wondering how to add these effects to the video. Keep reading to discover some of the simplest effects that are bound to add soul to your content. Before diving into the details, let’s first understand these effects.

Part 1. What are the before/after effects?

After-effects are visual effects that are used to enhance the aesthetic appeal of videos. You might have encountered these effects several times during watching YouTube videos or movies. These transitions make the videos more appealing to the audience.

In films, for example, the dissolve effect is employed to signify a time change. It informs viewers that there is a time difference between the two shots. You can see how this effect is used to dissolve one scene into another in the video clip mentioned below.

The history of after-effects can be traced back to 1993. These effects enabled the crew to mix 3D and 2D images to produce virtual dinosaur motion visuals in the Jurassic Park film, which we all love. Now that you have a fundamental understanding of the origins of after-effects, let’s take a look at where they might be applied!

Part 2. Where can you use these before/after effects?

If you are a fan of fiction movies, then you must have noticed that some of their scenes though fake, look so realistic that they blow our minds. And now you might have an idea of how these shots are created!

Whether it be shooting a movie or a commercial, these transitions have the power to make our content irresistible. Once you are familiar with the purpose of these after-effects, it’s time to show you how you can edit your videos using these effects.

Part 3. How to edit your videos using before/after effects?

If you’re new to editing and don’t know much about video graphics, Filmora video editor is the finest platform for you. It is not only easier to use but also more entertaining than other online video editors. Filmora is a free video editor that is accessible for both Windows and macOS.

Steps for installing the Filmora video editor

To install the Filmora video editor, follow these steps

Step1 Go to the official site of Filmora.

Step2 Click on the download button.

Step3 Install the application on your PC.

Step4 Now, you can use the Filmora video editor to beautify your content.

Now, let’s explore some of the coolest transition effects that you can use in your videos for before and after comparison.

Part 4. Filmora’s top three transition effects for beginners

Wondershare Filmora can help video editors achieve their goals in the most basic and economical fashion. The best three transition effects that may completely transform your videos are shown below.

Wipe Effect

Wipe transition is used to produce an apparent transformation to videos with similar frames for the before/after comparison. Travel vloggers mostly use this effect to create a retro vibe in their videos. This transition is frequently used in movies to demonstrate the influence of time on any place.

The wipe effect’s fundamental goal is to transition from one shot into another via a sliding animation, giving the video an elegant vibe. For instance, we can use the wipe effect to convert the raw film to colored corrected footage.

Steps to apply the Wipe effect

Step1 Drag and drop the video clip ‘before color correction’ onto the timeline’s first video track.

Step2 Then, drag and drop the color-corrected video clip on the second video track. Ensure that the clips are piled on top of one another so they may all be played simultaneously. It will make it easier for us to trim the footage.

Step3 Place the play head where we want the transformation to begin. Then trim the second clip.

Step4 Go to the Transitions window and select “Erase slide.” Drag the transition to the start of the second video clip. Then, double-click the transition on the timeline to open the settings box.

Step5 Adjust the length of the “Erase slide.” Let’s see how it turns out!

Dissolve Effect

The dissolve effect allows us to shift from one shot to another by using slow block dissolution. It gives the impression that one scene is being morphed into another. And, it is frequently used in documentaries.

We may utilize the dissolve transition to display the differences between two video segments more naturally. To explain the objective of the dissolve effect, we used two clips of the same place shot at separate times. The first film is current, but the second is from the same place but was taken a few years back.

Steps to apply the Dissolve effect

Step1 Drag and drop the first video clip onto the timeline’s first video track.

Step2 Then, on the second video track, drag and drop the second video clip. Make sure the start of the second clip is where you want the transition to begin.

Step3 Then Go to the Transitions window and choose the “Dissolve” effect.

Step4 Drag the transition to the start of the second video clip.

Step5 Then, on the timeline, double-click the transition to open the settings box. If necessary, adjust the duration of the “Dissolve “ effect as needed.

You can see how it looks in the image below. If we play the timeline, we can watch the green court convert into the old basketball court. However, the two visuals don’t truly match each other during the transformation.

Steps to adjust the frames of the clips

Step1 We may fix it by adjusting the location and scale of the clips.

Step2 Move the play head to the transition section to watch both video segments.

Step3 To open the settings window, double-click on the first video.

Step4 Find the transform section and scale it to 110%.

Step5 Then, move the first video’s frame to match the second video’s placement. We may notice a more natural transition when we replay the timeline.

Split Screen Effect

The split-screen technique first appeared in the film “The Queen of Spades,” which was released in 1949. It depicted a man suffering from a psychological illness. The split-screen effect was used to demonstrate the contrast between reality and his hallucinations. It made the viewer more aware of what was actually happening in the film.

Since then, the split screen has been used as the simplest technique to demonstrate the before/after comparison. This effect is also ideal for emphasizing the changes in only one section of the video.

Because the split screen effect does not display the whole frame of the video clips, you may eliminate the top and bottom bars of the video clips using this effect.

How to apply a split screen effect?

Step1 Find “Split Screen1” in the window by clicking “Split Screen.”

Step2 Drag it over to the timeline.

Step3 You’ll see the split-screen template in the preview box when you double-click it.

Step4 Drag the two video clips you wish to compare to the template’s left and right sides.

Step5 If necessary, you may also adjust the location of the videos in the preview clip.

Step6 Finally, uncheck the option labeled “allow split screen animation.”

Step7 All of the steps for the before/after split screen are now complete.

Step8 Let’s wait and see how it turns out!

Final words

If you are a vlogger and you desire to add an aesthetic touch to your videos, you should try Filmora. It offers a variety of unique transitions, so you can use it to build your own trademark style that will represent your content.

By the end of this article, you must understand how to employ the wipe effect, the dissolve effect, or the split screen effect in your videos to give them an elegant and professional vibe.

Free Download For Win 7 or later(64-bit)

Free Download For macOS 10.14 or later

Free Download For macOS 10.14 or later

Techniques You Never Heard of for Learning AI Marketing YouTube

Techniques You Never Heard of for Learning AI Marketing YouTube

An easy yet powerful editor

Numerous effects to choose from

Detailed tutorials provided by the official channel

Try It Free Try It Free

YouTube is one of the largest entertainment websites, where you can watch, share, and create videos. Millions of active users on YouTube have taken premium subscriptions on YouTube to enjoy hassle-free entertainment. YouTube was launched back in 2005. With the passage of time and advancements in technology, YouTube has also evolved.

Artificial intelligence is one of the recent and most famous advancements in technology. The introduction of artificial intelligence in the industry has proved to be a boon. The introduction of artificial intelligence has made things easy to manage in every industry. AI can easily be applied in any industry be it manufacturing or the IT sector. Artificial intelligence has made work easier and increased the efficiency of people working in different areas. Even YouTube has started using AI techniques for many tasks. In this article, we have listed some of the applications of AI on YouTube.

In this article

01 [How Is YouTube Using Artificial Intelligence?](#Part 1)

02 [How Is YouTube Using AI to Recommend Videos?](#Part 2)

Part 1 How Is YouTube Using Artificial Intelligence?

Tools like artificial intelligence and machine learning have made things easier to manage. Even the introduction of Artificial Intelligence on YouTube has helped a lot to smoothen its procedure. YouTube being one of the most engaging websites has applied YouTube Intelligence to manage all its activities smoothly. Read further to know how YouTube is using artificial intelligence currently!

01Automatic Removal of Inappropriate Content

One of the main applications of AI on YouTube is to remove inappropriate content automatically. YouTube uses artificial intelligence and machine learning to remove the violative and inappropriate content from the platform. As this content was one of the main reasons for the rise in racism and terrorism. To avoid all these harmful after effects, YouTube introduced the “Trashy Video Classifier” to scan and examine the feedback.

Although these algorithms might not be 100% accurate, they can perform the task more easily and efficiently than the manual examination of the content. Due to these algorithms, it has become easier to automatically remove the controversial content from the platform immediately. AI aided feature helps in determining the inappropriate content faster. However, it doesn’t provide 100% accurate results. This is the reason why YouTube has a large team of human specialists to check the accuracy of determining violative content.

02Add New Video Effects

The introduction of artificial intelligence and machine learning in the market has made it easier to add new video effects without the use of any external equipment. You can now swap out backgrounds from videos with just one click due to the in-built AI features on YouTube. This AI neural feature is prepared by Google’s AI YouTube researchers to make it easier for the AI algorithms to understand video patterns. This feature makes it easier for the system to maintain the correct pace with the video.

03Maintain Age Restrictions

Being an online platform, YouTube is open to everyone. There are many creators and viewers on the platform with different interests. Moreover, it is accessible to all age groups, which makes it necessary to optimize the content according to the age groups. YouTube has always been very particular about the age-restricted content. A lot of content is published on the platform that can be harmful to the children’s minds and growth. YouTube uses different AI tools and algorithms to maintain the age restrictions of adult content.

YouTube has guaranteed that the mature content will not be accessible to the kids and youngsters aged below 13 years. It has also created a separate application for the kids to maintain the age restrictions from the matured content.

Earlier, the YouTubers used to flag their content as mature themselves, but now the platform is planning to flag the content using machine learning technology. YouTube had also used machine learning technology to thwart the age-restricted content automatically in 2017.

04”Up Next” Feature

The “Up Next” feature of YouTube is also a result of artificial intelligence. With many creators uploading a large number of videos every minute, it was becoming difficult for the platform to manage the suggestion engine properly. So, YouTube has introduced the AI technique to streamline the recommendation process to maintain the real-time and latest suggestion.

This feature is a mix of two algorithms, one is used to optimize the suggestion engine according to the search history and watch history of the user, and the other is to determine according to the ranking. As the main aim is to provide the content so that the user can spend his/her maximum time watching YouTube videos. This helps in creating a better sidebar full of user-specific recommendations. YouTube’s special recommendation feature ensures to recommend different videos to the different viewers as per their interests.

05Training on Depth Prediction

YouTube has a lot of data stored that provides easy knowledge of AI algorithms. According to the recent data and announcement, it is now clear that Google’s AI YouTube researchers used the “mannequin challenge” to understand depth predictions.

In this challenge, they researched around 2000 groups, with 1 group in each video. Video had many people standing still like they have been frozen and one person was going through the scene to shoot the video. A better understanding of depth prediction can further help in generating the development of Augmented Reality (AR).

06Tackle Fake News

Among the different features of the most engaging online platform comes the ability to detect and tackle fake news and misleading content. YouTube can understand and detect fake news. With so many users on different social media platforms, it has now become common to spread fake and false news. Unlike other platforms, YouTube is using artificial intelligence to detect and remove misleading content that is against YouTube’s privacy policy.

YouTube understands that this type of content can be harmful to the audience and can be the reason for disputes among different communities. Hence, giving rise to racism and terrorism. To reduce its wrong impact on society, YouTube is using AI technology and removing this type of fake and misleading content. Around 11 million videos were removed from the platform within a single quarter. The introduction of AI has also proved that the technology works more effectively and efficiently rather than the manual removal of such content.

Part 2 How Is YouTube Using AI to Recommend Videos?

YouTube aims at finding the perfect video for each user separately and anticipating the users to spend more time on the platform. Keeping both these things in mind, it decided to use AI technology to recommend videos and optimize the suggestion panel. Just like Netflix, AI technology makes it easier for the platform to determine the best suggestions for different viewers. It recommends the videos after researching the user’s age, interests, watch time, etc.

YouTube generally focuses on increasing the watch time of the viewer, that’s why it recommends the videos keeping the user’s interests on priority. The goal is to watch more rather than watch the best.

YouTube uses different AI algorithms to understand things and recommend optimized videos to stand out from the crowd. First of all, it uses AI algorithms to understand the user’s interest by scanning his/her search history and watching history. It creates a list based on the findings and then ranks the videos as per the google rankings. Each video on YouTube has a different ranking.

YouTube has been changing its algorithms over time. Earlier, it used to rank videos according to view counts. But soon people understood the technique and started using the eye-catchy title and thumbnail to gain a large number of views. Due to this, viewers even started complaining about the content and YouTube changed its algorithms to resolve this issue.

YouTube introduced AI and ML technology to customize the recommendations in 2016. This introduction has made things easier for YouTube as well as its viewers. It has now announced to ban the “borderline content”.

Try It Free

For Win 7 or later (64-bit)

Try It Free

For macOS 10.12 or later

● Ending Thoughts →

● Applying AI on YouTube has made it easier for the platform to manage activities more effectively and efficiently. As a result, many new features are added to enhance the convenience and maintain the quality of the user experience.

● Moreover, YouTube is now experimenting with AI and ML for automatically adding video chapters. This feature will be beneficial for the content creators.

● It will assist them in creating and uploading, resulting in the elimination of the time used in adding timestamps manually. Even the creators are uploading AI-generated YouTube videos that are created with the help of an AI YouTube video maker.

● You can even learn about the different applications of AI and ML from different YouTube channels. Many accessible YouTube channels for machine learning are available on the platform.

● YouTube intelligence can also be seen on the homepage, recommendations, notifications, and subscriptions. The latest trending videos are also ranked with the help of artificial intelligence and machine learning.

Try It Free Try It Free

YouTube is one of the largest entertainment websites, where you can watch, share, and create videos. Millions of active users on YouTube have taken premium subscriptions on YouTube to enjoy hassle-free entertainment. YouTube was launched back in 2005. With the passage of time and advancements in technology, YouTube has also evolved.

Artificial intelligence is one of the recent and most famous advancements in technology. The introduction of artificial intelligence in the industry has proved to be a boon. The introduction of artificial intelligence has made things easy to manage in every industry. AI can easily be applied in any industry be it manufacturing or the IT sector. Artificial intelligence has made work easier and increased the efficiency of people working in different areas. Even YouTube has started using AI techniques for many tasks. In this article, we have listed some of the applications of AI on YouTube.

In this article

01 [How Is YouTube Using Artificial Intelligence?](#Part 1)

02 [How Is YouTube Using AI to Recommend Videos?](#Part 2)

Part 1 How Is YouTube Using Artificial Intelligence?

Tools like artificial intelligence and machine learning have made things easier to manage. Even the introduction of Artificial Intelligence on YouTube has helped a lot to smoothen its procedure. YouTube being one of the most engaging websites has applied YouTube Intelligence to manage all its activities smoothly. Read further to know how YouTube is using artificial intelligence currently!

01Automatic Removal of Inappropriate Content

One of the main applications of AI on YouTube is to remove inappropriate content automatically. YouTube uses artificial intelligence and machine learning to remove the violative and inappropriate content from the platform. As this content was one of the main reasons for the rise in racism and terrorism. To avoid all these harmful after effects, YouTube introduced the “Trashy Video Classifier” to scan and examine the feedback.

Although these algorithms might not be 100% accurate, they can perform the task more easily and efficiently than the manual examination of the content. Due to these algorithms, it has become easier to automatically remove the controversial content from the platform immediately. AI aided feature helps in determining the inappropriate content faster. However, it doesn’t provide 100% accurate results. This is the reason why YouTube has a large team of human specialists to check the accuracy of determining violative content.

02Add New Video Effects

The introduction of artificial intelligence and machine learning in the market has made it easier to add new video effects without the use of any external equipment. You can now swap out backgrounds from videos with just one click due to the in-built AI features on YouTube. This AI neural feature is prepared by Google’s AI YouTube researchers to make it easier for the AI algorithms to understand video patterns. This feature makes it easier for the system to maintain the correct pace with the video.

03Maintain Age Restrictions

Being an online platform, YouTube is open to everyone. There are many creators and viewers on the platform with different interests. Moreover, it is accessible to all age groups, which makes it necessary to optimize the content according to the age groups. YouTube has always been very particular about the age-restricted content. A lot of content is published on the platform that can be harmful to the children’s minds and growth. YouTube uses different AI tools and algorithms to maintain the age restrictions of adult content.

YouTube has guaranteed that the mature content will not be accessible to the kids and youngsters aged below 13 years. It has also created a separate application for the kids to maintain the age restrictions from the matured content.

Earlier, the YouTubers used to flag their content as mature themselves, but now the platform is planning to flag the content using machine learning technology. YouTube had also used machine learning technology to thwart the age-restricted content automatically in 2017.

04”Up Next” Feature

The “Up Next” feature of YouTube is also a result of artificial intelligence. With many creators uploading a large number of videos every minute, it was becoming difficult for the platform to manage the suggestion engine properly. So, YouTube has introduced the AI technique to streamline the recommendation process to maintain the real-time and latest suggestion.

This feature is a mix of two algorithms, one is used to optimize the suggestion engine according to the search history and watch history of the user, and the other is to determine according to the ranking. As the main aim is to provide the content so that the user can spend his/her maximum time watching YouTube videos. This helps in creating a better sidebar full of user-specific recommendations. YouTube’s special recommendation feature ensures to recommend different videos to the different viewers as per their interests.

05Training on Depth Prediction

YouTube has a lot of data stored that provides easy knowledge of AI algorithms. According to the recent data and announcement, it is now clear that Google’s AI YouTube researchers used the “mannequin challenge” to understand depth predictions.

In this challenge, they researched around 2000 groups, with 1 group in each video. Video had many people standing still like they have been frozen and one person was going through the scene to shoot the video. A better understanding of depth prediction can further help in generating the development of Augmented Reality (AR).

06Tackle Fake News

Among the different features of the most engaging online platform comes the ability to detect and tackle fake news and misleading content. YouTube can understand and detect fake news. With so many users on different social media platforms, it has now become common to spread fake and false news. Unlike other platforms, YouTube is using artificial intelligence to detect and remove misleading content that is against YouTube’s privacy policy.

YouTube understands that this type of content can be harmful to the audience and can be the reason for disputes among different communities. Hence, giving rise to racism and terrorism. To reduce its wrong impact on society, YouTube is using AI technology and removing this type of fake and misleading content. Around 11 million videos were removed from the platform within a single quarter. The introduction of AI has also proved that the technology works more effectively and efficiently rather than the manual removal of such content.

Part 2 How Is YouTube Using AI to Recommend Videos?

YouTube aims at finding the perfect video for each user separately and anticipating the users to spend more time on the platform. Keeping both these things in mind, it decided to use AI technology to recommend videos and optimize the suggestion panel. Just like Netflix, AI technology makes it easier for the platform to determine the best suggestions for different viewers. It recommends the videos after researching the user’s age, interests, watch time, etc.

YouTube generally focuses on increasing the watch time of the viewer, that’s why it recommends the videos keeping the user’s interests on priority. The goal is to watch more rather than watch the best.

YouTube uses different AI algorithms to understand things and recommend optimized videos to stand out from the crowd. First of all, it uses AI algorithms to understand the user’s interest by scanning his/her search history and watching history. It creates a list based on the findings and then ranks the videos as per the google rankings. Each video on YouTube has a different ranking.

YouTube has been changing its algorithms over time. Earlier, it used to rank videos according to view counts. But soon people understood the technique and started using the eye-catchy title and thumbnail to gain a large number of views. Due to this, viewers even started complaining about the content and YouTube changed its algorithms to resolve this issue.

YouTube introduced AI and ML technology to customize the recommendations in 2016. This introduction has made things easier for YouTube as well as its viewers. It has now announced to ban the “borderline content”.

Try It Free

For Win 7 or later (64-bit)

Try It Free

For macOS 10.12 or later

● Ending Thoughts →

● Applying AI on YouTube has made it easier for the platform to manage activities more effectively and efficiently. As a result, many new features are added to enhance the convenience and maintain the quality of the user experience.

● Moreover, YouTube is now experimenting with AI and ML for automatically adding video chapters. This feature will be beneficial for the content creators.

● It will assist them in creating and uploading, resulting in the elimination of the time used in adding timestamps manually. Even the creators are uploading AI-generated YouTube videos that are created with the help of an AI YouTube video maker.

● You can even learn about the different applications of AI and ML from different YouTube channels. Many accessible YouTube channels for machine learning are available on the platform.

● YouTube intelligence can also be seen on the homepage, recommendations, notifications, and subscriptions. The latest trending videos are also ranked with the help of artificial intelligence and machine learning.

Try It Free Try It Free

YouTube is one of the largest entertainment websites, where you can watch, share, and create videos. Millions of active users on YouTube have taken premium subscriptions on YouTube to enjoy hassle-free entertainment. YouTube was launched back in 2005. With the passage of time and advancements in technology, YouTube has also evolved.

Artificial intelligence is one of the recent and most famous advancements in technology. The introduction of artificial intelligence in the industry has proved to be a boon. The introduction of artificial intelligence has made things easy to manage in every industry. AI can easily be applied in any industry be it manufacturing or the IT sector. Artificial intelligence has made work easier and increased the efficiency of people working in different areas. Even YouTube has started using AI techniques for many tasks. In this article, we have listed some of the applications of AI on YouTube.

In this article

01 [How Is YouTube Using Artificial Intelligence?](#Part 1)

02 [How Is YouTube Using AI to Recommend Videos?](#Part 2)

Part 1 How Is YouTube Using Artificial Intelligence?

Tools like artificial intelligence and machine learning have made things easier to manage. Even the introduction of Artificial Intelligence on YouTube has helped a lot to smoothen its procedure. YouTube being one of the most engaging websites has applied YouTube Intelligence to manage all its activities smoothly. Read further to know how YouTube is using artificial intelligence currently!

01Automatic Removal of Inappropriate Content

One of the main applications of AI on YouTube is to remove inappropriate content automatically. YouTube uses artificial intelligence and machine learning to remove the violative and inappropriate content from the platform. As this content was one of the main reasons for the rise in racism and terrorism. To avoid all these harmful after effects, YouTube introduced the “Trashy Video Classifier” to scan and examine the feedback.

Although these algorithms might not be 100% accurate, they can perform the task more easily and efficiently than the manual examination of the content. Due to these algorithms, it has become easier to automatically remove the controversial content from the platform immediately. AI aided feature helps in determining the inappropriate content faster. However, it doesn’t provide 100% accurate results. This is the reason why YouTube has a large team of human specialists to check the accuracy of determining violative content.

02Add New Video Effects

The introduction of artificial intelligence and machine learning in the market has made it easier to add new video effects without the use of any external equipment. You can now swap out backgrounds from videos with just one click due to the in-built AI features on YouTube. This AI neural feature is prepared by Google’s AI YouTube researchers to make it easier for the AI algorithms to understand video patterns. This feature makes it easier for the system to maintain the correct pace with the video.

03Maintain Age Restrictions

Being an online platform, YouTube is open to everyone. There are many creators and viewers on the platform with different interests. Moreover, it is accessible to all age groups, which makes it necessary to optimize the content according to the age groups. YouTube has always been very particular about the age-restricted content. A lot of content is published on the platform that can be harmful to the children’s minds and growth. YouTube uses different AI tools and algorithms to maintain the age restrictions of adult content.

YouTube has guaranteed that the mature content will not be accessible to the kids and youngsters aged below 13 years. It has also created a separate application for the kids to maintain the age restrictions from the matured content.

Earlier, the YouTubers used to flag their content as mature themselves, but now the platform is planning to flag the content using machine learning technology. YouTube had also used machine learning technology to thwart the age-restricted content automatically in 2017.

04”Up Next” Feature

The “Up Next” feature of YouTube is also a result of artificial intelligence. With many creators uploading a large number of videos every minute, it was becoming difficult for the platform to manage the suggestion engine properly. So, YouTube has introduced the AI technique to streamline the recommendation process to maintain the real-time and latest suggestion.

This feature is a mix of two algorithms, one is used to optimize the suggestion engine according to the search history and watch history of the user, and the other is to determine according to the ranking. As the main aim is to provide the content so that the user can spend his/her maximum time watching YouTube videos. This helps in creating a better sidebar full of user-specific recommendations. YouTube’s special recommendation feature ensures to recommend different videos to the different viewers as per their interests.

05Training on Depth Prediction

YouTube has a lot of data stored that provides easy knowledge of AI algorithms. According to the recent data and announcement, it is now clear that Google’s AI YouTube researchers used the “mannequin challenge” to understand depth predictions.

In this challenge, they researched around 2000 groups, with 1 group in each video. Video had many people standing still like they have been frozen and one person was going through the scene to shoot the video. A better understanding of depth prediction can further help in generating the development of Augmented Reality (AR).

06Tackle Fake News

Among the different features of the most engaging online platform comes the ability to detect and tackle fake news and misleading content. YouTube can understand and detect fake news. With so many users on different social media platforms, it has now become common to spread fake and false news. Unlike other platforms, YouTube is using artificial intelligence to detect and remove misleading content that is against YouTube’s privacy policy.

YouTube understands that this type of content can be harmful to the audience and can be the reason for disputes among different communities. Hence, giving rise to racism and terrorism. To reduce its wrong impact on society, YouTube is using AI technology and removing this type of fake and misleading content. Around 11 million videos were removed from the platform within a single quarter. The introduction of AI has also proved that the technology works more effectively and efficiently rather than the manual removal of such content.

Part 2 How Is YouTube Using AI to Recommend Videos?

YouTube aims at finding the perfect video for each user separately and anticipating the users to spend more time on the platform. Keeping both these things in mind, it decided to use AI technology to recommend videos and optimize the suggestion panel. Just like Netflix, AI technology makes it easier for the platform to determine the best suggestions for different viewers. It recommends the videos after researching the user’s age, interests, watch time, etc.

YouTube generally focuses on increasing the watch time of the viewer, that’s why it recommends the videos keeping the user’s interests on priority. The goal is to watch more rather than watch the best.

YouTube uses different AI algorithms to understand things and recommend optimized videos to stand out from the crowd. First of all, it uses AI algorithms to understand the user’s interest by scanning his/her search history and watching history. It creates a list based on the findings and then ranks the videos as per the google rankings. Each video on YouTube has a different ranking.

YouTube has been changing its algorithms over time. Earlier, it used to rank videos according to view counts. But soon people understood the technique and started using the eye-catchy title and thumbnail to gain a large number of views. Due to this, viewers even started complaining about the content and YouTube changed its algorithms to resolve this issue.

YouTube introduced AI and ML technology to customize the recommendations in 2016. This introduction has made things easier for YouTube as well as its viewers. It has now announced to ban the “borderline content”.

Try It Free

For Win 7 or later (64-bit)

Try It Free

For macOS 10.12 or later

● Ending Thoughts →

● Applying AI on YouTube has made it easier for the platform to manage activities more effectively and efficiently. As a result, many new features are added to enhance the convenience and maintain the quality of the user experience.

● Moreover, YouTube is now experimenting with AI and ML for automatically adding video chapters. This feature will be beneficial for the content creators.

● It will assist them in creating and uploading, resulting in the elimination of the time used in adding timestamps manually. Even the creators are uploading AI-generated YouTube videos that are created with the help of an AI YouTube video maker.

● You can even learn about the different applications of AI and ML from different YouTube channels. Many accessible YouTube channels for machine learning are available on the platform.

● YouTube intelligence can also be seen on the homepage, recommendations, notifications, and subscriptions. The latest trending videos are also ranked with the help of artificial intelligence and machine learning.

Try It Free Try It Free

YouTube is one of the largest entertainment websites, where you can watch, share, and create videos. Millions of active users on YouTube have taken premium subscriptions on YouTube to enjoy hassle-free entertainment. YouTube was launched back in 2005. With the passage of time and advancements in technology, YouTube has also evolved.

Artificial intelligence is one of the recent and most famous advancements in technology. The introduction of artificial intelligence in the industry has proved to be a boon. The introduction of artificial intelligence has made things easy to manage in every industry. AI can easily be applied in any industry be it manufacturing or the IT sector. Artificial intelligence has made work easier and increased the efficiency of people working in different areas. Even YouTube has started using AI techniques for many tasks. In this article, we have listed some of the applications of AI on YouTube.

In this article

01 [How Is YouTube Using Artificial Intelligence?](#Part 1)

02 [How Is YouTube Using AI to Recommend Videos?](#Part 2)

Part 1 How Is YouTube Using Artificial Intelligence?

Tools like artificial intelligence and machine learning have made things easier to manage. Even the introduction of Artificial Intelligence on YouTube has helped a lot to smoothen its procedure. YouTube being one of the most engaging websites has applied YouTube Intelligence to manage all its activities smoothly. Read further to know how YouTube is using artificial intelligence currently!

01Automatic Removal of Inappropriate Content

One of the main applications of AI on YouTube is to remove inappropriate content automatically. YouTube uses artificial intelligence and machine learning to remove the violative and inappropriate content from the platform. As this content was one of the main reasons for the rise in racism and terrorism. To avoid all these harmful after effects, YouTube introduced the “Trashy Video Classifier” to scan and examine the feedback.

Although these algorithms might not be 100% accurate, they can perform the task more easily and efficiently than the manual examination of the content. Due to these algorithms, it has become easier to automatically remove the controversial content from the platform immediately. AI aided feature helps in determining the inappropriate content faster. However, it doesn’t provide 100% accurate results. This is the reason why YouTube has a large team of human specialists to check the accuracy of determining violative content.

02Add New Video Effects

The introduction of artificial intelligence and machine learning in the market has made it easier to add new video effects without the use of any external equipment. You can now swap out backgrounds from videos with just one click due to the in-built AI features on YouTube. This AI neural feature is prepared by Google’s AI YouTube researchers to make it easier for the AI algorithms to understand video patterns. This feature makes it easier for the system to maintain the correct pace with the video.

03Maintain Age Restrictions

Being an online platform, YouTube is open to everyone. There are many creators and viewers on the platform with different interests. Moreover, it is accessible to all age groups, which makes it necessary to optimize the content according to the age groups. YouTube has always been very particular about the age-restricted content. A lot of content is published on the platform that can be harmful to the children’s minds and growth. YouTube uses different AI tools and algorithms to maintain the age restrictions of adult content.

YouTube has guaranteed that the mature content will not be accessible to the kids and youngsters aged below 13 years. It has also created a separate application for the kids to maintain the age restrictions from the matured content.

Earlier, the YouTubers used to flag their content as mature themselves, but now the platform is planning to flag the content using machine learning technology. YouTube had also used machine learning technology to thwart the age-restricted content automatically in 2017.

04”Up Next” Feature

The “Up Next” feature of YouTube is also a result of artificial intelligence. With many creators uploading a large number of videos every minute, it was becoming difficult for the platform to manage the suggestion engine properly. So, YouTube has introduced the AI technique to streamline the recommendation process to maintain the real-time and latest suggestion.

This feature is a mix of two algorithms, one is used to optimize the suggestion engine according to the search history and watch history of the user, and the other is to determine according to the ranking. As the main aim is to provide the content so that the user can spend his/her maximum time watching YouTube videos. This helps in creating a better sidebar full of user-specific recommendations. YouTube’s special recommendation feature ensures to recommend different videos to the different viewers as per their interests.

05Training on Depth Prediction

YouTube has a lot of data stored that provides easy knowledge of AI algorithms. According to the recent data and announcement, it is now clear that Google’s AI YouTube researchers used the “mannequin challenge” to understand depth predictions.

In this challenge, they researched around 2000 groups, with 1 group in each video. Video had many people standing still like they have been frozen and one person was going through the scene to shoot the video. A better understanding of depth prediction can further help in generating the development of Augmented Reality (AR).

06Tackle Fake News

Among the different features of the most engaging online platform comes the ability to detect and tackle fake news and misleading content. YouTube can understand and detect fake news. With so many users on different social media platforms, it has now become common to spread fake and false news. Unlike other platforms, YouTube is using artificial intelligence to detect and remove misleading content that is against YouTube’s privacy policy.

YouTube understands that this type of content can be harmful to the audience and can be the reason for disputes among different communities. Hence, giving rise to racism and terrorism. To reduce its wrong impact on society, YouTube is using AI technology and removing this type of fake and misleading content. Around 11 million videos were removed from the platform within a single quarter. The introduction of AI has also proved that the technology works more effectively and efficiently rather than the manual removal of such content.

Part 2 How Is YouTube Using AI to Recommend Videos?

YouTube aims at finding the perfect video for each user separately and anticipating the users to spend more time on the platform. Keeping both these things in mind, it decided to use AI technology to recommend videos and optimize the suggestion panel. Just like Netflix, AI technology makes it easier for the platform to determine the best suggestions for different viewers. It recommends the videos after researching the user’s age, interests, watch time, etc.

YouTube generally focuses on increasing the watch time of the viewer, that’s why it recommends the videos keeping the user’s interests on priority. The goal is to watch more rather than watch the best.

YouTube uses different AI algorithms to understand things and recommend optimized videos to stand out from the crowd. First of all, it uses AI algorithms to understand the user’s interest by scanning his/her search history and watching history. It creates a list based on the findings and then ranks the videos as per the google rankings. Each video on YouTube has a different ranking.

YouTube has been changing its algorithms over time. Earlier, it used to rank videos according to view counts. But soon people understood the technique and started using the eye-catchy title and thumbnail to gain a large number of views. Due to this, viewers even started complaining about the content and YouTube changed its algorithms to resolve this issue.

YouTube introduced AI and ML technology to customize the recommendations in 2016. This introduction has made things easier for YouTube as well as its viewers. It has now announced to ban the “borderline content”.

Try It Free

For Win 7 or later (64-bit)

Try It Free

For macOS 10.12 or later

● Ending Thoughts →

● Applying AI on YouTube has made it easier for the platform to manage activities more effectively and efficiently. As a result, many new features are added to enhance the convenience and maintain the quality of the user experience.

● Moreover, YouTube is now experimenting with AI and ML for automatically adding video chapters. This feature will be beneficial for the content creators.

● It will assist them in creating and uploading, resulting in the elimination of the time used in adding timestamps manually. Even the creators are uploading AI-generated YouTube videos that are created with the help of an AI YouTube video maker.

● You can even learn about the different applications of AI and ML from different YouTube channels. Many accessible YouTube channels for machine learning are available on the platform.

● YouTube intelligence can also be seen on the homepage, recommendations, notifications, and subscriptions. The latest trending videos are also ranked with the help of artificial intelligence and machine learning.

Also read: