Batch Processing Transcripts: Workflows that Save Hours Each Week

The Core Recipe

1. Create source/, processed/, and archive/ folders.
2. Standardize filenames: YYYY‑MM‑DD_topic_speaker.
3. Apply preset filters in TranscriptCleaner (punctuation, casing, filler removal).
4. Export text and push to your CMS pipeline.
5. Run QA spot checks on 10% of files.

Automation Ideas

• Use presigned URLs to upload from a serverless job into TranscriptCleaner.
• Schedule nightly runs; email a diff of detected filler words per source.
• Keep a glossary.json to protect brand terms.

Avoid These Pitfalls

• Mixing caption formats (VTT, SRT) in the same folder without conversion.
• Inconsistent speaker labels that break search.
• No rollback plan; always keep the original unmodified transcripts.