Interview
Interview Cleanup for Private Voice Notes
Corrects errors, removes filler words, and turns interview recordings into clean, readable text.
Use cases
- User research interviews.
- Journalistic interviews.
- Oral history recordings.
What HushMemo extracts
- Clean paragraphs
- Removed filler words
- Key takeaways
Example output structure
- Clean interview text
- 3 Key Takeaways
Why local processing matters
- Recordings and transcripts stay on the device by default.
- The template runs against local text and local summary models after download.
- Custom vocabulary can preserve names, jargon, brands, and domain terms.