Fylm.ai — AI Color Grading for Photographers & Filmmakers
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Fylm.ai

Fylm.ai is a cloud-based AI color grading platform for photographers and filmmakers, offering NeuralToneAI shot matching, LUT creation, and team

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What is Fylm.ai?

Fylm.ai is a cloud-based color grading platform that uses AI to help photographers and filmmakers create and edit look-up tables (LUTs). Its core feature, NeuralToneAI, automates color matching between shots, reducing manual work so you can focus on the creative side. Because it runs in the cloud, you can work on projects from anywhere with an internet connection. The platform also includes team collaboration features and a built-in asset management system for shared grading projects.

Who created Fylm.ai?

Fylm.ai was developed by a team focused on making color grading more accessible to professionals in photography and filmmaking. It is designed to connect creative vision with technical execution for colorists, DITs, filmmakers, photographers, and teams worldwide.

What is Fylm.ai used for?

  • Creating color-managed LUTs: Build scene-referred LUTs that work with your color management.
  • On-set looks and DI: Create looks on set and support digital intermediate workflows.
  • Color matching: Automatically match shots and translate creative ideas into visual looks.
  • Raw photo editing: Edit raw photos directly.
  • Asset and project management: Access and organize assets efficiently.
  • Team collaboration: Work simultaneously with your team for faster project turnarounds.

Who is Fylm.ai for?

Fylm.ai is built primarily for photographers and filmmakers, including colorists, DITs, and production teams who need consistent looks across projects. It is designed to be user-friendly, even for those new to color grading.

Key grading tools

  • Primary corrections: Basic color adjustments using familiar controls, with GPU acceleration for instant feedback.
  • Curves: Fine-tune colors and brightness across specific tonal ranges.
  • Secondaries: Control Hue, Saturation, and Luminance for individual parts of an image.
  • AI-assisted looks: Deep learning neural networks help craft visual styles up to 10 times faster than traditional methods.

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