transcribe_audio
shallowai.switchapp/switch · Verify this server
Write out everything said in a recording, with the exact second every word starts and ends. Give it the asset id of a clip in your library (or an https link) and you get back the full text, the language it heard, and a word-by-word list with times you can build captions or cut on. Set speakers true when more than one person is talking and each word is also labelled with who said it. Set sound_events true to have laughter, applause and other noises marked too. Works on audio and on video files. Billed per minute of the recording (a charge applies). Nothing new is saved to your library.
1 trials · measured today
transcribe_audio scores 100.0/100 on Vouch's measured behaviour index, from 1 real invocation trials against ai.switchapp/switch, measured 20 Oct 2026 under methodology v0.2.0. Every measured component scored 100.
Component breakdown
| Component | Weight | Value |
|---|---|---|
| Reliability | 35% | not applicable |
| Schema integrity | 25% | 100.0 |
| Failure behaviour | 15% | not applicable |
| Latency | 15% | not applicable |
| Concurrency | 10% | not applicable |
Tool details
- Transport
- remote
- Credential class
- gated
- Category
- Content & media
- Input schema
- not declared
- Output schema
- not declared
- Side-effect classification
- unclassified
Score history
| Day | Score | Tier | Methodology |
|---|---|---|---|
| 2026-10-20 | 100.0 | shallow | v0.2.0 |
Probe evidence
| Probe | Outcomes |
|---|---|
| schema_integrity | pass: 1 |
Raw request/response logs are not archived yet — the outcome counts above are drawn directly from every recorded trial.
Embed this score
Available for every tool, scored or not — not a verification perk. Always links back to this page.
[](https://vouch.tools/tools/80e58b5a-ba03-4a3c-b938-64a008969e19)