review-ugc-render

name	review-ugc-render
description	Mandatory pre-publish review gate for a UGC video render. Transcribes the finished render's AUDIO with Whisper and word-diffs it against the approved spoken script, then gates set_final_render — blocking a render whose generated audio mis-voices a word (e.g. the approved "human-vetted" spoken as "human witted"), drops an approved phrase, or comes back silent. Runnable, gating counterpart to content-goose's review-transcript-integrity atom. Every ugc-video-formats recipe runs this after render and BEFORE set_final_render.
owner	akhil
status	active
version	1
created	"2026-07-04T00:00:00.000Z"
updated	"2026-07-04T00:00:00.000Z"

review-ugc-render

The QC gate every UGC video recipe MUST clear before it publishes. Not an eyeball /watch — a deterministic transcript-vs-script diff that exits non-zero on a defect so the recipe can hard-stop set_final_render.

Why this exists

Seedance generates the audio natively. It sometimes mis-voices a word — the approved line human-vetted comes back spoken as human witted; documented siblings: Hume→Hune, Alitu→al-too. The defect lives in the render's audio, so an eyeball /watch ("dialogue matches the script") slips it through, and a downstream caption pass then bakes the wrong word in verbatim. Nothing was comparing the actual spoken audio against the script the user approved.

This gate does exactly that, deterministically, and refuses to publish on a miss.

When to run

• MANDATORY in every remix-ugc-*-from-sample and create-ugc-*-video-from-refs recipe, in the QC phase, after the master render exists and before set_final_render.
• Re-run after every fix / re-roll until it PASSES.

Contract

Before rendering, persist the exact approved spoken lines (the verbatim utterance, no beat notes) to working/approved-script.txt. Then, after render:

python3 <pack>/review-ugc-render/scripts/review_render.py \
  --video working/final.mp4 \
  --script-file working/approved-script.txt \
  --json working/review-verdict.json

• exit 0 → PASS — proceed to publish (set_final_render).
• exit 2 → FAIL — do NOT publish. Read the report, fix, re-run.
• exit 3 → ERROR — the check could not run (see below); fix the environment, do not publish blind.

Transcription backend (in priority order): OPENAI_API_KEY (honors OPENAI_BASE_URL, so it routes through the gooseworks Whisper proxy when set) → local whisper CLI. ffmpeg must be on PATH.

What FAIL means and how to fix

Report line	Root cause	Fix
[high] said [witted] where script has [vetted]	Seedance mis-voiced the word in the generated audio	Re-roll a new seed. If it is a brand/coined token, spell it phonetically in the SPOKEN LINE (e.g. Ali-too, never a (pronounced …) parenthetical — Seedance reads parentheticals aloud). See create-video-seedance-2-fal Failure Modes.
[medium] dropped [...] / low similarity	Seedance dropped an approved phrase	Re-roll; if only a tail word, a surgical stitch_replacement.py window fix may recover it.
⚠ audio is effectively silent	Wrong render / audio track lost in post	Re-render / re-check the mux; never publish a silent take.
ERROR: no transcription backend	No OPENAI_API_KEY and no local whisper	Set the key (proxy OPENAI_BASE_URL) or install whisper, then re-run.

--expect-music is advisory only (warns if a music bed is absent); it does not by itself fail the gate.

Inputs

• --video PATH (required) — the rendered master mp4.
• --script-file PATH or --script "text" — the approved spoken script. Omit both only for a genuinely script-free clip (the drift check is then skipped and the gate is advisory).
• --min-ratio FLOAT (default 0.90) — transcript↔script token similarity to pass.
• --json PATH — write the machine verdict for the app's review panel.

Tests

python3 tests/test_review_render.py    # pure verdict logic; no audio/network

Covers the canonical vetted→witted mis-voicing, brand-name mis-voicing, dropped tails, benign filler, and the no-script advisory path.

Relationship to the content-goose review engine

This is the shipped, single-file, gating slice of the fuller coworkers/video/molecules/review/review-loop (18-axis rubric). Here we enforce the one axis that catches audio-vs-script defects at publish time (review-transcript-integrity / brand_text_accuracy). Deeper multi-axis review stays in the content-goose lab.