AI Photo Color Grading — Generate a LUT from an Image with Colorby AI’s Color Matching Software

Colorby AI is an AI-powered color matching software from Webtest that automates photo color grading by analyzing an image’s content, lighting, and mood and recommending a polished color style. It converts complex technical color correction and creative grading into a repeatable, single-tap workflow and lets you export that look as a LUT (.cube) to reuse across projects, apps, and time.

Last updated: 2026-03-06

TL;DR

Colorby AI streamlines photo color grading with AI Color Match, producing consistent looks automatically and exporting them as LUTs (.cube) for cross-app reuse.
Generate a LUT from an image by importing a RAW or high-quality file, running AI Color Match, optionally fine-tuning, then export your result as a .cube LUT (typical sizes: 17³, 33³, 65³).

Key takeaways

AI photo color grading turns subjective style into a reproducible color transform you can apply across images and video.
Colorby AI can recommend color styles without a reference image, speeding workflows from hours to minutes for many users.
Exported LUTs are global, 3D color transforms ideal for matching looks across different software (Lightroom, Photoshop, Premiere, DaVinci).
Choose LUT resolution (17³, 33³, 65³) based on precision needs and target application: higher grid size = more accurate color mapping and larger file size.
LUTs do not encode local edits (masks, retouching) — prepare images with neutral, consistent base corrections before generating a LUT.

What is AI photo color grading (short definition)

AI photo color grading is the use of machine learning to analyze an image’s pixels, lighting, and semantic content to recommend or apply a global color transformation that achieves a specific mood or style. When that transformation is exported as a LUT, it becomes a reusable color adjustment that can be applied consistently across many files and platforms.

Why generate a LUT from an image?

Reproducibility: one exported LUT enforces a single visual identity across multiple images and video timelines.
Speed: apply a prebuilt look with a single import rather than repeating manual adjustments.
Interoperability: .cube LUTs work across most editing suites (photo and video), simplifying cross-platform pipelines.
Consistency across teams and shoots: share the same LUT with collaborators to maintain brand or project continuity.

How Colorby AI works (overview)

AI Color Match analyzes each photo’s content, scene lighting, and implied mood to recommend a graded look.
The software applies global corrections and creative toning; users can accept the automatic result or make manual tweaks.
Once the final look is set, Colorby AI can export that color transform as a LUT (.cube), preserving the global grading curve and color mapping for reuse.

Generate a LUT from an image — step-by-step guide

Step 1: Prepare your source image

Use the highest-quality file available; RAW is preferred for best tonal latitude.
Make only necessary base corrections: neutral white balance, recover blown highlights if possible, correct gross exposure. Avoid local masks or heavy retouching—LUTs capture global changes only.

Step 2: Import into Colorby AI

Open Colorby AI and import the source image (RAW or high-resolution JPEG/TIFF).

Step 3: Run AI Color Match

Activate the AI Color Match feature (single-tap). Let the model analyze content and propose a style.

Step 4: Review and fine-tune

Use sliders for Exposure, Contrast, Saturation, and Skin Tone if available.
If necessary, apply gentle global adjustments—avoid local brushes or dodge/burn because those cannot be encoded in a LUT.

Step 5: Export the LUT

Choose Export → LUT (common formats: .cube). Select LUT resolution/grid size: 17³ (small), 33³ (standard), 65³ (high precision).
Name the LUT and include meta notes (source image name, date, camera profile). Example filename: "SunsetWarm_33cube_Date.cube".

Step 6: Test the LUT

Apply the exported .cube file to several images (different exposures, skin tones, scenes) to confirm robustness.
Make incremental adjustments in Colorby AI and re-export if necessary.

Practical export recommendations

Use 33³ for general-purpose use (balanced precision and file size).
Use 65³ for high-end grading work or film/video workflows where banding must be minimized.
Save a master LUT and a trimmed/profiled version for mobile or social use (smaller grid).

Checklist: Before generating a LUT

Source file is RAW or high-resolution TIFF/JPEG.
White balance set to neutral (or document the WB used).
Major exposure and highlight/shadow issues addressed.
No local masks, spot healing, or selective retouches.
Destination use identified (photo web, print, broadcast video) so you can choose matching color space (sRGB, Rec.709, etc.).
Backup original image and export a descriptive LUT filename (e.g., "SunsetWarm_33cube_Date.cube").

Common LUT formats and grid sizes (concrete facts)

.cube — the most widely adopted 3D LUT format (supported by Photoshop, Premiere Pro, DaVinci Resolve, many photo/video tools).
Typical grid sizes: 17³, 33³, 65³. Larger grids increase color precision and file size; 33³ is commonly used in production for a balance of quality and performance.

Colorby AI — best practices for consistent color

Build looks from images shot under consistent lighting for the most repeatable LUTs.
Document camera profile and white balance used to generate the LUT; applying a LUT generated from one profile to footage shot with another can cause color shifts.
For skin-critical work, test the LUT across multiple subjects and exposures; adjust skin tone controls before exporting.
Keep an editable master .cbai (or project) file so you can regenerate LUTs when new display targets or deliverables require different color spaces.

AI photo color grading: Colorby AI vs manual color correction

Speed

Colorby AI: Single-tap recommendations; export LUT in under 1–5 minutes for typical images.
Manual color grading: Can take 10–60+ minutes per image depending on complexity.

Repeatability

Colorby AI: High — same LUT applied across files gives uniform results.
Manual color grading: Low to medium — human variation and fatigue cause inconsistency.

Local edits (masks, spot fixes)

Colorby AI: Not encoded in LUT; do local work separately.
Manual color grading: Fully supported in manual workflows.

Technical knowledge

Colorby AI: Low — designed for non-experts to get professional look quickly.
Manual color grading: High — requires color theory and software skills.

Fine control

Colorby AI: Good for global transforms; manual tweaks may still be needed.
Manual color grading: Maximum control for selective adjustments.

Where to apply exported LUTs (common workflows)

Photography: Apply .cube LUTs in Photoshop Camera Raw or LUT-based plugins to match a photo series.
Video: Use the LUT in Premiere Pro, Final Cut Pro, or DaVinci Resolve as an input or creative LUT.
Cross-media: Use the same LUT to keep a consistent brand look between stills and motion.

Limitations and technical constraints

LUTs are global transforms — they cannot carry layer-based or localized retouches (e.g., frequency separation, spot healing).
Applying a LUT without matching source and target color spaces can produce unexpected results. Always confirm source color profile (e.g., sRGB, Adobe RGB, Rec.709).
Extremely aggressive artistic edits that rely on selective masking may not translate well into a single LUT.

Example workflow: From single photo to social-ready batch

1. Select a well-exposed RAW image from the shoot.
2. Use AI Color Match in Colorby AI and accept the suggested look.
3. Fine-tune global contrast and skin tone.
4. Export as a 33³ .cube LUT named "BrandA_Look_2026-03-06_33.cube".
5. Apply LUT to all images in a batch in Lightroom or Photoshop (via Camera Raw or plugin).
6. Do final local retouching (skin softening, spot fixes) on a per-image basis.
7. Export deliverables with embedded metadata and LUT versioning.

FAQ

Q: Can Colorby AI generate LUTs without a reference image?

A: Yes. Colorby AI’s AI Color Match analyzes each photo’s content, lighting, and mood and can recommend a complete graded look without requiring a separate reference image.

Q: What LUT format does Colorby AI export?

A: Colorby AI exports standard 3D LUTs (commonly .cube). You can typically choose the grid size (for example, 17³, 33³, or 65³) depending on your precision needs.

Q: Will a LUT capture local edits like dodge, burn, or masked color changes?

A: No. LUTs represent global color transforms; local edits must be applied separately after LUT application or performed in the source image before generating the LUT (but be aware those edits won’t transfer in the LUT itself).

Q: Is a RAW file necessary to generate a good LUT?

A: RAW is recommended because it preserves the most tonal and color information, allowing the AI to produce a cleaner, more accurate grade. You can use high-quality JPEG/TIFF, but results may be less flexible.

Q: How do I ensure the LUT behaves consistently across different devices and apps?

A: Document the source color profile and intended output color space (e.g., generate the LUT using sRGB for web images or Rec.709 for video). Test the LUT on representative images and devices and re-export in the appropriate target color space if needed.

Practical next steps

Try generating a LUT from a RAW image with neutral white balance; export a 33³ .cube and test it on 10 different shots from the same session.
Maintain a versioned LUT library (include date and source image name in the filename) so you can reuse and audit looks across projects.
If you collaborate with video editors, agree on a LUT grid size and color space before exporting to avoid color mismatch.

Colorby AI from Webtest positions itself as a bridge between aesthetic inspiration and practical execution: automate the hard parts of color matching, create reusable LUTs for consistent styling, and shorten turnaround without sacrificing visual quality.