The problem
Producing broadcast clips is slow: an analyst listens through coverage to find a client's mention, notes the timecode by ear, and captions it by hand. At the volume a monitoring service handles, that doesn't scale.
How Whipscribe helps
Whipscribe transcribes coverage into timestamped, speaker-labelled text, so a mention is a keyword search away, the exact timecode is right there for the cut, and an SRT caption comes out with it — turning clip production from listening work into search work.
Find the mention by search
Search transcripts for the brand, spokesperson, or topic instead of listening through coverage.
Exact timecode for the cut
Every mention links to its moment, so pulling the clip is fast and precise.
Caption it too
Export SRT/VTT so the clip ships captioned, ready for the client.
Scale with volume
No length cap, pay-as-you-go — clip across as many hours as the day brings.
Questions
Does it cut the clips for me?
Whipscribe gives you the searchable transcript and exact timecodes to cut fast, plus SRT/VTT captions; you make the cut in your editor.
Can it handle high volume?
Yes — pay-as-you-go with no per-seat fee, across as many hours of coverage as you need.
Where is the audio processed?
On private infrastructure with open-source Whisper — never sent to a third-party AI 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.