Designing an Authorized-Video Transcript Pipeline With Stable Subtitle Exports

Описание и применение

Создана повторяемая и проверяемая схема обработки видео: от записи прав доступа до выбора между существующими субтитрами и пересозданием, нормализации таймингов, проверки структуры и экспортирования в надёжных форматах.

Задача

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

Результат

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

Рабочий процесс

• 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.

Доказательства

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

Источник

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.

Источник

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

Источник