Transcript review checklist

Transcript gap and truncation checklist before publishing captions

Review timeline continuity, cue endings, repeated text, speaker transitions, and file boundaries without rewatching everything first.

For Creators and editors receiving automatically generated captions or comparing multiple transcription runs.Product: ASR Drift Lab

Target outcome

A prioritized manual review queue built from structural evidence rather than random spot checking.

Work through the evidence
before the final claim.

  1. 01

    Check the opening and ending boundary

    Confirm the first cue begins near the actual speech and the final cue does not stop before the recording or end mid-sentence.

  2. 02

    Sort timeline gaps by duration

    Review the largest unexplained gaps first, while accounting for known silence, music, cuts, and non-speech sections.

  3. 03

    Inspect repetition clusters

    Repeated phrases can come from speech, editing, or ASR loops. Compare neighboring timestamps and the source before removing anything.

  4. 04

    Review cue readability

    Flag extreme cue duration, dense text, abrupt line breaks, and overlapping cues that could harm comprehension or accessibility.

Example input

A concrete first pass

Two VTT runs from the same lecture: one has 622 cues and the other 594, with a four-minute section showing repeated partial sentences.

Reviewable output

A comparison list locating the cue-count divergence, repeated regions, missing spans, and the most useful timestamps for source review.

The difference between runs becomes an efficient review map, not an unsupported claim that one model is universally better.

Important boundaries

What this workflow does not prove

  • Cue-count differences alone do not prove quality.
  • Do not expose private recordings or transcripts in public examples.
  • Accessibility review may require additional language and presentation checks.

Creators & editors · $39 once

Use ASR Drift Lab for the structured first pass.

Inspect subtitle drift, suspicious gaps, repetition, and truncation before a transcript reaches your audience.

Open ASR Drift Lab