What makes two images belong together?
Matching shots is one of the most demanding tasks in colour grading. A skilled colourist judges relationships between colour, contrast, atmosphere and the visual intention of a scene.
Two shots do not need to contain the same colours to feel connected. They need to speak the same visual language.
Beyond the scope
Histograms, waveforms and vectorscopes help us understand a signal. On their own, they cannot explain whether two shots feel coherent.
A close-up and a wide shot may show different colour distributions even when they belong to the same scene. Matching those measurements alone can move an image away from the intended appearance.
Colourlab approaches matching through perception, evaluating relationships between images to guide a coherent result.
Eight years. Four generations.
Our AI Colour Match is the result of eight years of research and development. Across four generations, we have refined analysis, adjustments and control over the result.
The fourth generation brings that work into a faster, more accessible workflow, delivering a strong starting point while making refinement straightforward.
A match you can make your own
There is rarely one correct way to match a scene. You may want to preserve changing light, carry an atmosphere across locations or connect footage from different cameras.
Earlier generations expressed adjustments through colour decision lists. Our fourth generation simplifies refinement with a small set of controls for luminance, chrominance, saturation and overall strength, with further control in shadows, midtones and highlights.
The engine establishes the relationship. You decide how it should feel.
Less correction. More creative direction.
Resolve differences between shots, then spend more time shaping atmosphere and deciding where continuity matters—and where a deliberate difference serves the story.