Color matching
Also known as: shot matching, camera matching, color consistency
Adjusting clips so their color, brightness and contrast look consistent, especially when footage comes from different cameras, settings or times of day.
Updated
What it means
Footage from a drone, a GoPro, a phone and a mirrorless camera rarely looks the same, even of the same scene. Each camera has its own color science, white balance and contrast. Color matching adjusts each clip so they cut together smoothly, as if filmed with one camera.
It is part of color correction, done before creative grading. First the clips are balanced to a neutral, consistent base, then a creative look is applied on top of all of them.
Matching also matters within one camera when light changes, such as clouds passing or the sun setting during a session, which is common on long ride days.
How it works in practice
Choose a reference clip that already looks right to you, then adjust the others to match it. Start with exposure and white balance, then contrast and saturation. Scopes like waveforms and vectorscopes show differences more reliably than eyes alone.
Many editors offer automatic shot match tools that analyze a reference frame. They are a good start but usually need manual tweaking, especially for skin tones.
Prevent problems at the shoot: set similar white balance and color profiles on all cameras, use fixed settings rather than auto where possible, and film a test scene with all cameras together at the start.
What to watch out for
Skin tones always reveal mismatches first. If faces look different from shot to shot, viewers notice even if they cannot say why. Match skin before anything else, then the landscape.
Over-correcting a difficult camera to match a better one can introduce noise and banding. Sometimes it is better to meet in the middle, nudging the better camera slightly toward the weaker one.
Matching flat or log footage to standard footage without proper conversion leads to strange colors. Convert everything to the same color space first, as explained under color space.
How RawClip handles it
RawClip uses each clip with its original colors and does not match or grade them. For the most consistent highlight, use similar camera settings or correct clips before upload, then the AI builds your highlight.