The Challenge
The client was transcribing YouTube videos by hand. Raw auto-generated captions were messy, with broken sentences and timing fragments, and could not be used directly.
The Solution
- Extracted captions from YouTube videos automatically
- Cleaned and merged caption fragments into readable text with NLP techniques
- Transformed the output into a consistent, production-ready JSON schema
- Automated the full flow from video link to final file
The Results
- 100% of manual transcription eliminated
- Consistent JSON output ready for downstream systems
- A repeatable pipeline for any number of videos
Tech Stack
- Python
- ETL
- NLP
- JSON
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