AI Color Grading for Indie Filmmaking: A Working Colourist's Guide (2026)
AI color grading for indie filmmaking — the honest workflow a Resolve-certified colourist runs on BRAW and S-Log3 festival cuts. Get early access.
AI color grading for indie filmmaking solves the three bottlenecks that swallow festival deadlines: shot-to-shot exposure drift across multi-day shoots, log-to-Rec.709 conversions for BRAW and ProRes RAW from mixed cameras, and the timeline-wide equalization pass that turns a 12-minute short into a 14-hour grade. Used correctly, AI handles the mechanical first pass; a human colorist handles the story.
I've been a colourist for four years, DaVinci Resolve Certified, with a BFA in cinematography. I've graded festival shorts cut on FX6 and Komodo, an indie feature shot on a BMPCC 6K Pro, and enough music videos to lose count. The pattern repeats every time: the director loves the dailies, hates the rough cut, and panics three weeks before festival submission because nothing matches across the timeline. That panic is mostly mechanical work — equalization — that AI can finally do in about five minutes instead of three days.
The math problem nobody warned you about
Indie projects compound color decisions fast. A 12-minute short shot on a Komodo at 6K RAW runs roughly 280 setups across a 14-day schedule. Add a second camera — say an FX6 in internal S-Log3 — and you've doubled the variables: two sensors, two log curves, two white-balance interpretations across two ops who weren't talking to each other on day six.
The edit comes back at 340 cuts. You now have 340 individual color decisions before you can even start chasing a look.
A 75-minute indie feature on a Canon C70 in C-Log3 runs 1,100 to 1,400 cuts after picture lock. At three minutes per shot for primary exposure and white balance — and that's a fast colorist — you're at seven full working days of equalization before you touch creative grading. Indie budgets between $5K and $50K don't fund that.
The honest split: about 60% of indie color grading is equalization, not creative. The other 40% is where craft actually lives — skin in mixed light, day-for-night windows, the look you've borrowed from Linus Sandgren's La La Land Technicolor palette or Robert Eggers's film-emulation work on The Lighthouse. AI should compress the first 60%. It should not touch the second 40%.
Where AI color grading earns its place
Three places AI tools are honestly faster than manual node work in Resolve, even for a colorist who knows the suite cold.
First, log-to-Rec.709 normalization across mixed cameras. Drop a folder of BRAW from a Komodo and ProRes RAW from an FX6 into an AI tool. It detects the input space per shot and applies the correct transform. In Resolve, you're building Color Space Transform OFX nodes per clip group and managing them across the timeline. It's not hard. It is tedious.
Second, shot-to-shot equalization across the cut. The AI looks at every shot in sequence and pulls them into a coherent exposure-and-white-balance range. It's not making creative choices — it's removing variance. This is the pass that turns three days of work into ten minutes.
Third, reference-driven base looks. You feed it a still from a film you're matching — the desaturated teal-amber consistent across A24's recent slate, or a frame from Sandgren's La La Land — and it builds a starting point on top of the equalized timeline. You then sit on it and make it yours.
If you're an indie filmmaker, we're building this for you. Leumos AI launches in ~30 days — join the early-access list and you'll be in the first 500 (50% off the first year).
What AI can't do — and you shouldn't ask it to
Be honest about this or you'll waste a week chasing the wrong tool.
Skin tones in mixed light. A reception scene lit by tungsten practicals, daylight bouncing through a window, and an LED key spilling off a green wall — that's still a human job. The AI will pull skin toward neutral, which is technically correct and emotionally wrong for the scene.
Creative day-for-night. The grade Hoyte van Hoytema pulled on Oppenheimer's IMAX black-and-white sequences was an intent decision, not an automated one. AI doesn't know your script.
Brand-specific color compliance. If your indie has a Pantone-locked product placement — and yes, it happens — you're matching the chip yourself against a scope.
Final-pass theatrical color. If your festival venue is projecting DCP, the final pass needs to be eyeballed in a calibrated suite or against a reference monitor. AI gets you to roughly 90%. The last 10% is craft and the kind of judgment you build over years.
The hybrid workflow I'd run on a Komodo + FX6 short
This is the workflow I'd actually run on a 12-minute festival short cut on a Komodo A-cam and FX6 B-cam, finished in Resolve:
- Conform the edit. Round-trip from Premiere or Avid via XML or EDL.
- Export the cut as ProRes 4444 proxies for the AI pass.
- Run the first equalization through an AI tool. This is what Match All is built for — one pass pulls every shot into a coherent range.
- Let AI Scene Cut Detection chop the timeline into individual shots with thumbnails. No node-per-clip setup, no manual splitting unless the AI misses a soft cut — and when it does, Manual Cut Tool catches it.
- Drop a reference still — Sandgren's La La Land, the A24-style desaturated palette from a recent release, whatever the director is chasing — into Reference Image Grading. The intensity slider lets you push 30% or 80% depending on how aggressive the look needs to be.
- Export the equalized, base-graded files back into Resolve.
- In Resolve, do the human work: skin in mixed light, day-for-night windows, directorial notes from your DP, the final pass on a calibrated monitor.
Steps one through six used to take me three days. Step seven still takes a full day. That's the ratio I'm chasing: AI for the mechanical, human for the meaningful.
The honest tool survey
After a year of testing every option in the market:
Colourlab AI is the most mature tool out there. Their shot-matching is excellent on narrative content. The interface has a learning curve and the pricing sits in the $20-50/mo bracket depending on tier, locked to desktop.
fylm.ai runs in the browser, has a clean reference-matching flow, and is the closest competitor to what I'm building. Solid work.
Dehancer is film-emulation rather than equalization — a different tool for a different job. If you want a Kodak 2383 print look, that's where I'd go.
color.io is browser-native and built around collaboration and review.
What I'm building with Leumos AI is the indie-specific cut: browser-based, drop a folder of BRAW or S-Log3 footage, AI scene-cut plus Match All in one pass, reference-image grading on top, export back to Resolve. The reason I'm building it is that nothing in the current market is priced or workflow-fit for the indie short-film budget — $5K to $50K total budgets where the colorist is also the editor and probably also the director's brother-in-law.
Pricing once we launch: Free at $0 (2 uploads/day, 400MB max), Creator at $15/mo (8 uploads/day, 1GB max), Pro at $39/mo (20 uploads/day, 2GB max). For a festival short you pay one or two months and you're done. First 500 early-access signups get 50% off the first year.
If you're staring down a festival deadline and the equalization pass is the thing eating your week, the early-access list is open. The product launches in roughly 30 days.
Frequently asked questions
Can AI color grading match the look of an A24 film?
Partially. Reference-image grading tools can pull your footage toward the desaturated teal-amber palette consistent across recent A24 releases — the kind of grade you see in films like The Green Knight or Past Lives. What it won't do is replicate the colorist-level skin protection, the deliberate green push in shadows, or the print-emulation grain structure. Use AI for the base wash, then sit on top in Resolve and make the specific creative calls yourself. The result lands you about 80% of the way there in roughly 20% of the time.
Does AI color grading work with BRAW and ProRes RAW from cameras like the Komodo and FX6?
Yes. An Input Color Space LUT step handles the log-to-Rec.709 transform per camera. The AI tool needs to identify the source — BRAW from a Komodo, ProRes RAW from an FX6, V-Log from a Panasonic, C-Log3 from a Canon C70 — and apply the correct gamma conversion before the equalization pass runs. The Leumos Input Color Space LUT handles this in one click. Once every clip is in the same color space, the AI is comparing apples to apples and the Match All pass actually works.
Will AI replace a human colorist on an indie feature?
No, and any tool that claims it will is selling you something. AI handles the mechanical 60% — equalization, log-to-Rec.709 conversion, base looks against a reference. The remaining 40% is creative judgment: skin tones in mixed light, day-for-night, the conversation with the director about what a scene needs to feel like emotionally. On a 75-minute festival feature, AI compresses about three days of equalization work into half a day. The human colorist still owns the look, the skin, and the final pass.
How is AI color grading different from applying a LUT?
LUTs are static — they apply the same transform regardless of what's in the frame. AI grading is adaptive — it analyzes each shot and equalizes against the timeline. A LUT will crush your shadows or blow your highlights depending on the source clip's exposure. AI keeps the look consistent across exposure variance shot-to-shot. The Leumos Preset LUT Library ships curated cinema LUTs with an intensity slider for creative work, but the heavy equalization work is done by Match All. Two different tools for two different parts of the grade.
Can I use AI color grading inside DaVinci Resolve?
Most browser-based AI grading tools, including what I'm building, export back to Resolve as graded ProRes files or as a base node setup you conform into the timeline. You run the AI pass first — equalization, log conversion, reference look — then bring the result back into Resolve for the human work. Resolve's built-in Color Match and Magic Mask have AI elements, but they don't replace a full timeline equalization pass across hundreds of cuts. The hybrid workflow — AI for the first pass, Resolve for the finish — is the answer for indie work.
What's the smallest indie project that benefits from AI color grading?
Roughly a short film over four minutes with more than 50 cuts. Below that, the manual workflow in Resolve is fast enough that you won't notice the time saved. Above it, the equalization pass starts eating real hours. For a 12-minute festival short with 280+ cuts across two cameras like a Komodo and FX6, you'll save 20 to 30 hours. For a 75-minute indie feature, you'll save closer to a full week of colorist time — and that week is usually the one between picture lock and festival submission.
How much storage and bandwidth do I need for AI color grading in the browser?
Depends on the tool, but for browser-based work like what I'm building you'll upload proxy files rather than original BRAW. Leumos caps upload size per file: 400MB on Free, 1GB on Creator, 2GB on Pro. The standard offline-to-online workflow applies — generate ProRes Proxy or DNxHR LB versions, run the AI pass on those, then apply the resulting grade to the original timeline in Resolve. This is the same approach every feature post house has used for two decades, just with AI doing the equalization layer.
Leumos AI launches mid-2026. The first 500 early-access signups get 50% off the first year. Join the early-access list →