AI Video Quality Check. Stop the wrong clip before it posts.

A vision model watches each clip and asks one question: is this what was asked for? If not, the run stops.

Check that this clip really shows a red fox.Open in chat

Everything on this page was made on Treza. See pricing

Right subject

It checks the clip shows what the prompt named.

Right moment

Name an action and that is checked too, on its own.

A photo to compare

Attach a real photo and it checks the anatomy against it.

Stops the run

On a miss nothing after it runs, so nothing posts.

Hedges get flagged

A shaky pass posts with a note, or stops below the floor you set.

Says why

Every verdict records what it saw and why.

Verdicts from a real channel

An ocean channel that posts on its own. Every clip is checked first.

A lionfish fanning its spines on a reef, passed by the check at 0.95

Lionfish, passed

Right fish, fins out, as the script asked.

Vision QC

A parrotfish scraping a brain coral, passed by the check at 0.90

Parrotfish, passed

Biting the coral, the moment the line was about.

Vision QC

A wrasse over rubble, rendered for a mandarinfish slot, stopped by the check

Asked for a mandarinfish

It saw a wrasse and stopped the run. Nothing posted.

Vision QC

From idea to finished video

  1. Step 01

    Put it after the render

    Between the video and the upload.

  2. Step 02

    Name the subject

    Or leave it blank to use the prompt.

  3. Step 03

    Pick how strict

    Frames to check, a confidence floor, fail or warn.

  4. Step 04

    Re-run the bad clip

    Lock the rest of the run and render only what failed.

The Treza node editor showing a scheduled daily short pipeline running left to right: a brief and a schedule into a writer model, then a Seedance 2.5 video node, selected with its settings open and its manta ray clip in the preview, transcription, burned-in captions, a music mix, and a YouTube upload node

Ask for the pipeline in the composer, or send it from Claude over MCP.

What people build with it

Channels that post themselves

A wrong animal never reaches YouTube or TikTok.

Product shots

Check the product is actually in frame.

Big batches

Catch the misses without watching every clip.

An AI clip you already have

Attach it in chat and say what it should show.

Look-alikes

Near twins judged against a real reference photo.

Scheduled slots

Every run checked, with nobody watching.

Nothing wrong goes out.

Check between the render and the post.

AI video quality check, answered

What does it check?

Whether the frames show the subject, and the action if you name one.

Which model judges?

Claude Sonnet 5 by default. Small models fail good footage, so it starts with a strong one.

What happens on a fail?

The run stops before anything posts, with the reason. Or set it to warn and carry on.

Is it for footage I filmed?

It is made for generated clips, where a model can render the wrong subject.

How much does it cost to make a checked clip with Treza?

Treza runs on prepaid credits with no subscription. Each generation is charged at the model's own rate from your balance, and a failed generation costs nothing. A typical video generation settles around $1.06, and credit packs start at $5 and never expire.

Can I call this as an API instead of using the canvas?

Yes. Every pipeline can be published as a versioned HTTP endpoint. Call the typed /invoke endpoint with JSON in and JSON out, or point any OpenAI SDK at the OpenAI-compatible endpoint. Swap a model on a node later and the API your product calls does not change.

Do I need to know how to edit video?

No. Start from a template, change the topic, and run it. If you do want frame-level control, the timeline editor is there with multi-track video and audio, per-clip trims, fades, and volume, but nothing about the automated path requires opening it.