Transcribe the source recording
Use the recommended model first. Noisy field recordings may benefit from a higher-accuracy option on capable hardware.
Interview transcription
Interview transcription you can verify against the recording
Turn research interviews, reporting calls, oral histories and customer conversations into timestamped text. Search for a topic, click back to the exact recording, correct important details and export a clean transcript.
- Search long interviews instead of scrubbing the whole recording
- Verify quotes and names from the original audio
- Keep sensitive source audio on the current device
Drop an audio file or click to browse
MP3, WAV, M4A, OGG, FLAC, WebM — practical length depends on device memory
Review the transcript before you export
A safer interview review process
Find claims and quotations
Search the text, click the timestamp and listen to the surrounding audio before relying on a quote.
Clean the deliverable
Correct names, organizations, numbers and terminology, then export text for notes, coding or publication.
What interview transcripts still need from a human
Speaker identification is not automatic yet, so add names where the distinction matters.
Treat punctuation as a reading aid, not evidence of the speaker's exact phrasing.
Keep consent, retention and publication rules separate from the transcription tool itself.
Questions about this workflow
Can EarScribe identify different speakers?
Not yet. The transcript keeps timestamps, but speaker diarization and automatic speaker labels are not currently provided.
Should I publish an interview transcript without checking it?
No. Always verify quotations, names, numbers and statements that could change meaning or attribution.
Is interview audio uploaded?
The selected audio is processed in the browser and is not uploaded to an EarScribe server. See the Privacy page for model and analytics details.