Why researchers often prefer local transcription
Interview material can include identity details, health information, institutional politics, or unpublished findings. Even when transcription is allowed, it is reasonable to reduce the number of places raw audio travels.
A practical research workflow
Store the raw file safely
Keep the original interview recording in your project storage before you do any cleanup or export.
Transcribe on-device
Use a local Whisper app so the interview stays on your Mac during transcription.
Label speakers and correct names
For qualitative work, speaker separation by hand is often safer than trusting automatic labeling in messy recordings.
Export to a format that fits your coding workflow
Markdown or TXT is often easiest for annotation and import into research notes. PDF can help when you want a stable reference copy.
What to look for in the app
- Local processing with no mandatory cloud account.
- Manual speaker labels.
- Search and playback for quote verification.
- Clear metadata such as duration and language.
- Exports that are easy to archive with your research notes.
Where SaidVault fits
SaidVault fits researchers who want a quieter long-form workflow: file import, segment review, manual speakers, search, and export, plus voice notes and dictation for field notes around the main transcript work.
Need a local transcript for fieldwork?
Use SaidVault when your research material should stay on your own machine from raw audio to final transcript export.