
The people read
Follows every recurring person from their first clear look to their last.
- Face, hair and facial hair
- Clothes, their colour and pattern
- What each hand is holding
- Where they stand and which way they face
The report
Shot 05 · 0:31Living room at night. Same table as shot 02.

Shot 02 · 0:08

Shot 05 · 0:31
Glass on the tablehigh
On the table in shot 02. Gone here.
Her coatmedium
Dark green wool in shot 02. Brown here.
Gold recordmedium
On the table in shot 02. On the shelf here.
Rain on the windowlow
Raining in shot 02. Dry here.
Shot 05, 0:31. Her coat is brown here. It was set as a dark green wool coat in shot 02 at 0:08 and nothing in the scene explains the change. Regenerate shot 05 with the coat from the frame at 0:08. Keep the framing, the light and the camera move as they are.
Then it fixes them

Reference · Shot 1 · 0:00.5The frame the fix was told to match.
Why long AI video breaks
Video models top out at somewhere between 15 and 30 seconds per generation. So anything longer gets made the way almost everyone makes it now: one short generation at a time, edited together. A three-minute video is six to twelve of them.
Every generation starts from scratch. The face, the coat, the room and the light are all made again from a prompt and maybe a reference image. They usually come out close. Close is the problem. Across a dozen cuts the small differences add up, and that is the moment a video starts to look like AI and stops holding together.
VideoConsistency is built to solve that in the easiest way I could make it. You upload the finished cut. Our agent checks every generation against the first, marks where it drifted, and the shots that broke get regenerated from the report.
One three-minute AI video
8 generations · 7 cuts between them
A three-minute video made of 8 separate generations, each 15 to 30 seconds long. Something drifted at 5 of the 7 cuts between them.
Checked shot to shot, generation to generation
01How it works
MP4, MOV or WebM, up to 5 GB. A content check runs in your browser first, then a compact copy and up to 48 sharp stills are made from your original.
Our agent watches your whole video twice at once. One pass follows the people. The other follows the room.
Every shot reviewed and every break marked on the timeline, with its two frames and a written fix.
Press Fix this shot and the broken shot is regenerated to match its reference. A draft comes first, then 720p or 1080p.
02The reference
The first clear look at each person, prop and room becomes the reference. Every later appearance is compared with that reference directly, never with the shot before it.
That one rule matters more than it sounds. Compare neighbours and a coat can drift from green to brown a shade at a time, with every step looking fine. Compare everything with the same frame and the drift has nowhere to hide.
ReferenceShot 02 · 0:08 · first clear look

Shot 03 · 0:13Matches

Shot 04 · 0:21Matches

Shot 05 · 0:314 breaks

Shot 07 · 0:44Matches
03Two reads

Follows every recurring person from their first clear look to their last.

Ignores the faces completely and follows the place they are in.
When both finish they are merged, and a problem found by both becomes one problem.
04What it looks for






05The score
It lists what it found, and the score is worked out from that list in code. It starts at 1.00. A serious break, like a face or a person who vanishes, costs three. A garment or a moved prop costs two. Smaller things cost one.
All of it is measured against how many shots your video has, since more shots means more chances to break. Same findings, same score, every time. Read the method.
06For every problem

Shot 02 · 0:06Shot 09 · 0:41Case studies
Worked examples of what comes back: the score, the shot that broke, the two frames and the fix written for it. One comes back clean. One is a real run where the broken shot got regenerated, with the attempt that missed left in.
Read the case studies
Who it is for
Filmmakers cutting generated shots into anything past the one-minute mark, which is exactly where continuity starts to fall apart, and who would rather fix one shot than regenerate the whole scene. Studios making episodes with characters who have to come back looking the same. Teams building video models who want one check run the same way on two versions of a brief.
The public benchmark is scored with this exact check.
Guides and notes

Fixing characters
A face, a sweater or a pair of glasses that changed between shots.

Fixing backgrounds
Walls, windows, light and set dressing that drift while nobody looks.

Continuity errors
Eight kinds of mistake, famous examples, and why they keep happening.

Notes
Writing on continuity in film and in generated video.
Sign in with your email and drop the file in. The report comes back in a few minutes for most videos, with a fix for every break. Plans start at $19 a month for 15 minutes of video and 10 seconds of shot fixes.