AI Color Correction to Enhance Your Videos

During video editing or creation, you often need to correct colors for several crucial reasons. For instance, you want to erase unwanted color casts, balance exposure, recover detail in shadows and highlights, fix color shifts, noise, or vignetting, and more. What if you don’t want to adjust these parameters manually?
AI color correction is a technological leap that allows you to get professional results and accelerate workflows quickly. This article will guide you to know more about AI color correction.
Contents:
Part 1. What Is Color Correction
Color correction refers to the technical process of adjusting the colors in video footage. It helps to ensure whites are truly white, the main subjects look natural, and colors match reality. The process often needs to correct white balance, fix exposure, recover detail in shadows and highlights, match shots filmed under different lighting conditions, and neutral the starting point. It ensures the overall color is natural and right.
Traditional ways to correct video colors rely heavily on the colorist's eyes and skills. It needs manual adjustments of different parameters. Advanced AI makes the color correction more efficient and faster. It can automate and enhance the process using machine learning. AI models are trained on enormous datasets to guarantee accurate and high-quality results. They can analyze the footage, learn the intricate relationships between pixels, lighting conditions, common color issues, and perform suitable color correction operations.
Part 2. Color Correction vs. Color Grading: What's the Difference
Color correction and color grading have different purposes, even though they are often used interchangeably.
Color correction is to fix exposure, white balance, match shots, and neutralize. It focuses on the color accuracy, neutrality, and uniformity. Color correction is mainly for solving problems, achieving accuracy, and creating consistency. Color grading is mainly for emotion, look, feel, and style. It is used to establish a specific mood, show a specific visual style, or enhance storytelling.
When it comes to the related AI color enhancement, the distinction matters. If you mean to perform AI color correction, use the right AI model to fix white balance, exposure issues, and shot matching. If you want to make color grading, you should adopt an AI model that applies a suitable filter or look to your video.
Part 3. How to Correct Colors in Your Videos Using AI
VidHex AI Video Enhancer is an easy-to-use tool specializing in automated video enhancement. This all-featured enhancer offers several tools for specific color correction tasks. It has an individual Color Enhancement to fix exposure, white balance, noise, and saturation in one click. Its AI model uses cinematic LUTs and scene-aware adjustments to ensure high-quality outputs.
Free Download
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Windows 11, 10 Supported
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Mac OS X 10.7 or higher
Step 1. Download and launch VidHex AI Video Enhancer on your computer. Click AI Color to access related tools. Choose Color Enhancement to move on. As you can see, the software also lets you colorize black and white videos, convert SDR to HDR, and optimize low-light footage.

Step 2. Upload the video you want to correct the colors, and ensure you are under the Color Enhancement Model. This AI model will automatically balance exposure and fix dark/bright scenes, correct white balance, remove noise and grain , restore missing shadow/highlight details, and make other color enhancements. The AI-powered color correction requires no color grading skills.

Step 3. Click the Preview button to generate a clip to check the output result. Use the split-screen viewer to compare original and corrected footage. Select and confirm the output resolution and format, and then click Export to save your color-corrected video.
If you need more AI color correction tools, try using the powerful DaVinci Resolve, Colourlab AI, or CapCut. CapCut offers web-based and desktop versions for you to correct video colors and make other enhancements with ease. Moreover, it has mobile apps for direct color correction on mobile phones.

Part 4. FAQs of AI Color Correction
Question 1. What is the best AI tool for basic color correction?
When you search for the best AI tool for basic color correction, you should compare various factors like your budget, editing platform, skills, workflow, and more. Top contenders include VidHex AI Video Enhancer, DaVinci Resolve, Colourlab AI, and AI Video Color Grading. Considering that you only need basic color correction, you should pick an easy-to-use enhancement tool. Start with the trial version of Resolve and use its AI Color Match tool.
Question 2. Does CapCut AI Color Correction support videos?
Yes, CapCut lets you color correct videos using AI. It has an individual color correction feature for you to enhance your footage. Its AI color correction can intelligently analyze your video and adjust related settings. It is ideal for quick adjustments on short clips. Moreover, CapCut offers customizations for further optimization. It lets you freely change contrast, saturation, temperature, tint, brightness, hue, and others to ensure a natural result. However, the AI color correction is currently limited to CapCut Pro.
Question 3. How do I make AI color grading online?
Many web-based tools can help you perform AI color grading online with ease. Top recommendations include Picwand AI Video Enhancer, Runway ML, Auto Color by Media.io, Pictory AI, Flixier, and Clipchamp. These online tools often provide a straightforward way to color correct your videos. When you reach the product page, upload your clip, apply a related AI model or color correction filter, and then select the suitable format and quality to export. Surely, they always set various limits that require you to upgrade.
Conclusion
After reading this AI color correction post, you can learn the necessary information about color correction and grading. If you are tired of adjusting various color settings manually, try using an AI-powered color correction tool like VidHex. Start a trial to test its AI capabilities and check if it can generate the high-quality results you need.