The problem
Talkback is where compliance risk concentrates: live callers, unscripted hosts, and strong opinions mean complaints land here more than anywhere else. When one does, someone has to find the exact exchange in hours of live audio and review it against the codes — under time pressure.
How Whipscribe helps
Whipscribe transcribes your talkback logger recordings into timestamped, speaker-labelled text, so you search for what a caller or host actually said and jump straight to the moment — turning a day of review into minutes, with the audio on infrastructure you control.
Find the exchange fast
Search the transcript for the caller, the host, or the words a complaint is about instead of scrubbing hours of live audio.
Host and caller, labelled
Diarisation separates host from caller so you can evidence exactly who said what.
Evidence with timecodes
Every line ties to a timestamp for a traceable, auditable compliance review.
Private by design
Self-hosted Whisper — sensitive live content never passes to a third-party AI service.
Questions
Why talkback specifically?
Live, unscripted talk draws the most complaints, so fast, searchable review of talkback hours is where transcription saves the most time.
Can it separate host and caller?
Yes — speaker diarisation labels each turn so host and caller are distinguished in the transcript.
Where is the audio processed?
On private infrastructure with open-source Whisper — never sent to OpenAI, Google, or any external transcription service, and never used to train models.
Note: Whipscribe is a transcription tool that makes recordings searchable; it complements your recording and retention systems, it does not replace them, and nothing here is legal advice. Confirm your current obligations with your licence conditions and the applicable code.