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Color Grade Master

Analyzes footage and recommends DaVinci Resolve color grading LUTs and curves.

A custom GPT by @colorlab for video & media production tasks. Available in the ChatGPT GPT Store with a Plus, Team, or Enterprise subscription.

By @colorlabVideo & Media ProductionGPT Store
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Color Grade Master is a custom GPT built by @colorlab for analyzes footage and recommends davinci resolve color grading luts and curves. It is available in the ChatGPT GPT Store under the Video & Media Production category and requires a ChatGPT Plus subscription to access.

About this GPT

Color Grade Master is part of the Video & Media Production category in OpenAI's GPT Store. Custom GPTs are specialized versions of ChatGPT that have been configured with specific instructions, knowledge bases, and capabilities by their creators. This GPT was designed by @colorlab to help users with analyzes footage and recommends davinci resolve color grading luts and curves.

Unlike prompting a general-purpose ChatGPT, this GPT comes pre-configured with the context, tone, and expertise needed for video & media production-related tasks. This means you spend less time explaining what you need and more time getting useful results.

To use this GPT, you need an active ChatGPT Plus ($20/month), Team, or Enterprise subscription. Once subscribed, you can find it by searching for "Color Grade Master" in the GPT Store or browsing the Video & Media Production category.

Category

Video & Media ProductionBy @colorlabChatGPT GPT Store

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FAQ

Common questions about Color Grade Master and how to use it effectively.

01

Does this actually look at my footage and suggest grades, or do I describe what I shot?

You describe your footage — camera, lighting conditions, the mood you want, reference images or films — and it builds grade recommendations from that information. It can't visually analyze your video files, which is the biggest limitation compared to tools like Colourlab or the DaVinci Resolve auto-color feature. The value is in the creative guidance: it helps you articulate and achieve a specific look rather than just guessing at LUTs and hoping for the best.

02

Can it recommend specific LUTs, or just general color theory advice?

It recommends specific LUT styles — teal and orange, film print emulations, black-and-white with specific contrast curves — and explains the node structure for building the look in DaVinci Resolve. It won't give you a downloadable .cube file, but it describes the parameters (lift, gamma, gain values, saturation curves, hue-vs-hue adjustments) in enough detail to recreate the grade yourself or find a matching LUT pack. For popular film emulations, it even breaks down the characteristic color shifts that define, say, the Kodak 2383 look versus Fujifilm Eterna.

03

How detailed are the DaVinci Resolve-specific instructions?

Node-level detailed. It tells you which node to place your color space transform, where in the chain to apply your look, and whether a correction belongs in pre-clip, clip, or post-clip. It distinguishes between serial and parallel node structures and explains why you'd use one over the other. If you know Resolve's interface, you can follow the instructions without additional translation — it uses the actual Resolve terminology rather than generic video-editing language.

04

What about color correction versus color grading — does it handle both?

It distinguishes clearly between the two, which is surprisingly rare in tutorial content. The correction phase covers exposure normalization, white balance, contrast recovery, and shot matching across scenes. Once your footage is technically correct, it moves into the creative grading phase — building a look, establishing mood, drawing the viewer's eye with vignettes and windows, and maintaining skin tone integrity through the grade. It never suggests a creative look before the correction is solid.

05

Can it help me match footage from different cameras in the same scene?

This is one of its strongest practical applications. You describe the cameras, their color science (Sony S-Log3 vs. Canon C-Log2 vs. iPhone HDR), and it builds a shot-matching workflow: color space transforms to bring everything into a common working space, exposure matching using waveform guidance, and secondary adjustments for the stubborn differences that transforms don't catch. It also explains why matching by eye usually fails and how to trust your scopes instead.

06

Does it cover HDR grading workflows?

It covers HDR fundamentals — Rec.2020 vs. Rec.709 color spaces, PQ vs. HLG transfer functions, nit level targets for different HDR formats, and the node structure differences between SDR and HDR grades. It won't replace a dedicated HDR manual, but it provides a working foundation for understanding how the grading approach changes when you have 1,000+ nits to play with instead of the standard 100-nit SDR target.

07

How useful is this for someone grading on a laptop without a calibrated monitor?

It will be the first to tell you that grading without calibration is like mixing audio on laptop speakers — you can get in the ballpark but you'll miss details that matter. It provides workarounds: using scopes as your primary reference rather than your display, exporting test clips to view on calibrated screens (even an iPhone screen is more consistent than most laptop panels), and avoiding the specific grade decisions most affected by uncalibrated displays (like subtle shadow tints that disappear on a low-contrast screen).

08

What's the most common request it can't fulfill?

One-click auto-grade like the Magic Mask or AI-based features native to Resolve Studio. This GPT is a guide, not a rendering engine — it can't process your video files or apply grades automatically. The people who get frustrated are those expecting an automated grading service; the people who love it are those who want to learn how to grade themselves with an expert-looking-over-their-shoulder. It's a teacher, not a replacement for the color tools in your NLE.