Interview transcripts your IRB can live with
Turn hours of qualitative interviews into clean text without parking participant recordings on a vendor's servers.
The problem
A recorded interview is a biometric identifier — a participant's voice can't be de-identified by removing a name. That's why IRBs scrutinize how recordings are handled and who they're shared with.
Your consent form and data-management plan have to account for every third party that touches the audio. A transcription service that stores recordings, uses sub-processors, or trains on your data makes that disclosure harder to justify.
Third parties complicate consent
If a vendor retains recordings, your informed-consent and data-sharing commitments now extend to them and their sub-processors — and GDPR obligations follow identifiable audio.
Retention undermines de-identification
You can pseudonymise a transcript, but the original audio still exists on the vendor's disk. Storage is the part that's hard to defend in review.
How Safe Scriber helps
- Recordings are processed in memory and deleted immediately — no retention to disclose in your protocol.
- Audio is never used to train models and never heard by a reviewer.
- Transcripts return to you for pseudonymisation; we don't keep a copy.
- Batch up to 20 interviews at once and clear a backlog in one pass.
How it works
Queue your interviews
Drag in up to 20 recordings — single sessions or a whole study's backlog.
Processed and discarded
Each file is transcribed in memory and deleted on completion.
Code and analyse
Get clean transcripts and summaries ready for pseudonymisation and coding.
Safe Scriber's no-retention design makes the third-party disclosure in your protocol easy to describe, but you remain responsible for IRB approval, informed consent, and any required de-identification.
Try it on your own recording
New accounts get 10 free minutes — no card, no subscription.