Speech-to-Text
Providers using this tag (50)
Ranked by API Evangelist rating — Exemplar and Strong are expanded by default.
Exemplar 3 Complete, well-documented, and agent-ready
Strong 6 Solid coverage with minor gaps
Developing 19 Usable, with meaningful gaps to close
Thin 13 Limited public surface area
Emerging 5 Early or largely undocumented
Minimal 4 Almost no public developer surface
APIs with this tag (28)
Ranked by the provider's API Evangelist rating — the Kin Score is scored per provider, not per API, so every API of a provider shares its band. How the rating works →
Exemplar 5 Complete, well-documented, and agent-ready
Strong 3 Solid coverage with minor gaps
Developing 9 Usable, with meaningful gaps to close
Thin 10 Limited public surface area
Emerging 1 Early or largely undocumented
Companies reaching this through an API (9)
These companies publish an API, specification or operation carrying “Speech-to-Text” but do not classify their business under it. Listed unranked and kept out of the count above, because one tagged operation is not a statement about what a company does.
Score breakdown
Where this tag sits
Related tags
Where this tag comes from
Cohort brief
Auto-generatedThe 48 providers in the APIs.io catalog tagged Speech-to-Text, scored on the Kin Score. Every figure below is computed from the catalog — nothing here is written.
| Facet | This cohort | Catalog | Difference | Scored |
|---|---|---|---|---|
| Developer Ergonomics | 50.4 | 23.2 | +27.2 | 48 |
| Contract Quality | 37.5 | 17.6 | +19.9 | 48 |
| Operational Transparency | 31.8 | 13.7 | +18.1 | 48 |
| Access Clarity | 44 | 26.5 | +17.5 | 48 |
| Discoverability | 69.8 | 58.1 | +11.7 | 48 |
| Contract Governance | 10.8 | 6.3 | +4.5 | 48 |
A facet is averaged over the members that carry it, not over the whole cohort — the “Scored” column is that count. Averaging an absent facet as zero would score our own coverage gaps as the providers’ posture.
| Artifact | This cohort | Catalog | Difference |
|---|---|---|---|
| MCP server (any) | 38% | 14% | +24 |
| MCP server (first-party) | 38% | 12% | +26 |
| Agent Skills | 0% | 0% | 0 |
| OAuth scopes | 19% | 11% | +8 |
| Security | 100% | 98% | +2 |
| Arazzo workflows | 2% | 2% | 0 |
| Governance rules | 19% | 14% | +5 |
mcp_pct counts any mcp/ artifact including ones API Evangelist derived from the provider OpenAPI; mcp_first_party_pct counts only servers the provider publishes. Prefer the latter.
- 1 ElevenLabs 81.8
- 2 TranscriptFetch 67.6
- 3 S&P Global 66.9
- 4 Amazon Transcribe 58.6
- 5 Corti 57.5
- 6 Actionpower 57.3
- 7 Simplismart 57.3
- 8 Siro 56.6
- 9 Modulate 55.7
- 10 SLNG 53.6
- 1 Sarj AI Developer API 67.3
- 2 S&P Global 66.2
- 3 Speko 60.5
- 4 TranscriptFetch 58.1
- 5 ElevenLabs 52.7
- 6 Kensho 51.1
- 7 Trint 44.6
- 8 Fish Audio 44.6
- 9 Sonix 44.6
- 10 Happy Scribe 44.6
Work with this as data
Every tag here is available over the APIs.io API and to AI agents over MCP.