Colourlab

Automatically analyzes and matches color grading across multiple shots in a sequence to ensure visual consistency. The AI learns from reference frames and applies matching color corrections to other shots without manual adjustment.

Analyzes video footage and suggests professional color grading adjustments based on machine learning models trained on cinematic color work. Provides automated starting points that users can then refine or accept.

Applies a single color grade or set of adjustments across multiple video clips or sequences simultaneously. Enables efficient processing of large volumes of footage with consistent styling.

Seamlessly integrates with standard video editing software and workflows, allowing users to apply color grading without switching between applications or learning new interfaces.

Maintains consistent brand colors across video content by learning and applying brand-specific color palettes to footage. Ensures all videos adhere to brand guidelines without manual color specification.

Applies pre-built cinematic color grades and looks to video footage, transforming standard footage into footage with professional film-like color characteristics and mood.

Analyzes a reference image or frame and applies its color characteristics to video footage, enabling color matching based on visual references like mood boards, stills, or competitor content.

Provides granular manual controls for adjusting color grades after AI recommendations, allowing users to fine-tune and override automated suggestions for creative customization.

Provides free access to core color grading features with optional paid upgrades for advanced functionality, allowing users to evaluate the tool before committing financially.