Designing an Authorized-Video Transcript Pipeline With Stable Subtitle Exports

Description and use

A repeatable, auditable video‑to‑subtitle workflow that records authorization, chooses between caption retrieval and re‑transcription, normalizes timing, validates structure, edits prose, and exports with clear guarantees.

Problem

Teams need a repeatable, auditable pipeline to turn authorized video links into reliable subtitle files while respecting permissions, preserving timing, and ensuring export integrity.

Outcome

The pipeline delivers traceable, well‑structured subtitles with clear provenance, enabling downstream tools to trust timing and content while simplifying debugging and compliance.

Workflow

• 1. Record job metadata: source_url, language, purpose, requested_outputs, access_note.
• 2. Decide retrieval method: if a permitted caption track exists, retrieve it; otherwise perform re‑transcription.
• 3. Validate and normalize timing: ensure start < end, cues ordered, no overlaps, minimum cue length.
• 4. Edit prose: remove duplicates, fix line wrapping, preserve speaker changes, verify proper nouns.
• 5. Export in chosen formats (txt, srt, vtt, csv, json) with documented guarantees.
• 6. Store both clean and reviewed exports separately for traceability.
• 7. Provide a browser‑based workspace (e.g., VidiRelay) for teams preferring no installation.
• 8. Test edge cases with fixtures: complete captions, no captions, long cues, overlapping cues, similar speaker names, mixed scripts, invalid URLs.

Evidence

The first field in the job record should be the source URL and the reason the team is allowed to process it.

Source

Separate retrieval from re‑transcription… store it in the job metadata so that a reviewer knows whether the words came from a source caption track or a speech‑recognition pass.

Source

A deterministic validation pass can catch many errors without trying to judge language quality.

Source