Browser-based grading
Create colour grades in a browser app with AI-assisted tools and no downloads required.
fylm.ai
Reclamarfylm.ai is a browser-based colour grading and collaboration platform for video and still photography, with AI-assisted look creation, Premiere Pro sync, and LUT, XMP, and Capture One export.
Overview
fylm.ai is a browser-based colour grading and collaboration platform for video and still photography. It combines AI-assisted look creation, film-inspired grading tools, and cloud-based project sharing so users can build grades, review them with others, and move results into post-production workflows.
The site positions the product around fast look development, including Premiere Pro round-tripping, LUT export, and still-image grading. It also supports team feedback inside the workflow, with comments and shared assets available for collaborative review.
Core capabilities
AI-assisted look creation
Use NeuralToneAI and NeuralFilmAI for AI-assisted grading aimed at film-like results.
Premiere Pro sync
Sync grades back to Premiere Pro with one click and avoid manual LUT round-trips.
Multi-format export
Export 3D LUTs, XMP profiles, or Capture One styles for use across different workflows.
Collaboration and commenting
Keep feedback attached to the grade with built-in commenting and private collaboration.
Asset management
Manage project assets in one place with filtering and search for easier organization.
Common use cases
Fast look creation
Build a colour grade in the browser and use AI-assisted tools to create a look without installing desktop software.
Private team review
Share grades with directors, producers, or clients and collect comments alongside the work instead of juggling separate review tools.
Premiere Pro workflows
Round-trip a grade from fylm.ai back into Premiere Pro so the timeline reflects the latest look.
Still photography grading
Create film-like colour treatments for digital photos and export them as a LUT, XMP profile, Capture One style, or graded image.
Cross-workflow LUT export
Prepare LUTs for different production stages, including digital intermediate and on-set show-look workflows.
Pros and Cons
Pros
- Runs in the browser, which makes it accessible without local installation for core use.
- Supports both video and still photography workflows.
- Offers AI-assisted grading tools for creating looks quickly.
- Includes Premiere Pro sync and export options for use in other software.
- Provides private collaboration and commenting for team or client feedback.
Cons
- The pricing page says all sales are final because the product can export LUTs, XMP profiles, and Capture One styles.
- The feature set is centered on colour grading and review, so it may not fit broader editing or asset management needs outside that scope.
FAQ
What is fylm.ai used for?
fylm.ai is a browser-based colour grading platform. It is designed for creating colour grades, LUTs, and film-like looks, with workflows for both video and still photography.
Does fylm.ai require software installation?
The site says fylm.ai works in the browser, so no downloads are required to use the core app. It also offers a Premiere Pro extension for syncing grades back into Adobe Premiere Pro.
Can teams collaborate in fylm.ai?
Yes. The pricing page says the Pro and Team plans include commenting and collaboration features, and the home page says feedback can be gathered inside Premiere Pro.
What can I export from fylm.ai?
Yes. The home page says you can export a 3D LUT, XMP profile, or Capture One style, and the pricing page also mentions LUT creation and export-related workflows.
Does fylm.ai have a free plan and paid plans?
The pricing page shows a free plan, a Lite plan billed annually, a Pro plan billed annually, a Team plan billed annually, and an Enterprise plan with custom pricing.
Quick Facts
- Product type
- AI-powered colour grading and collaboration platform
- Platform
- Browser-based cloud app
- Primary workflows
- Video grading, still photography, LUT creation, collaboration
- Source domain
- fylm.ai
- Plans
- Free, Lite, Pro, Team, Enterprise