Speech-to-Text
Speech To TextSpeech to TextSpeech-to-Textspeech-to-textspeechToText
Providers using this tag (51)
Ranked by API Evangelist rating — Exemplar and Strong are expanded by default.
Strong 7 Solid coverage with minor gaps
Developing 24 Usable, with meaningful gaps to close
Thin 11 Limited public surface area
Emerging 7 Early or largely undocumented
Minimal 1 Almost no public developer surface
Unrated 1 Not yet scored
APIs with this tag (32)
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 →
Strong 8 Solid coverage with minor gaps
Developing 13 Usable, with meaningful gaps to close
Thin 10 Limited public surface area
Emerging 1 Early or largely undocumented
Companies reaching this through an API (10)
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
Related tags
Where this tag comes from
Cohort brief
Auto-generatedThe 49 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 | 49.5 | 23.4 | +26.1 | 49 |
| Contract Quality | 41.5 | 19.8 | +21.7 | 49 |
| Operational Transparency | 33 | 14 | +19 | 49 |
| Access Clarity | 43.7 | 26.5 | +17.2 | 49 |
| Discoverability | 72.8 | 61.2 | +11.6 | 49 |
| Contract Governance | 11 | 6.4 | +4.6 | 49 |
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) | 20% | 10% | +10 |
| MCP server (first-party) | 32% | 13% | +19 |
| Agent Skills | 0% | 0% | 0 |
| OAuth scopes | 16% | 11% | +5 |
| Security | 98% | 97% | +1 |
| Arazzo workflows | 2% | 2% | 0 |
| Governance rules | 20% | 14% | +6 |
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 S&P Global 65.7
- 2 Inworld AI 65.1
- 3 TranscriptFetch 64.7
- 4 Corti 61
- 5 Amazon Transcribe 58
- 6 Siro 55.8
- 7 Modulate 55.7
- 8 SLNG 53.7
- 9 Fireflies.ai 52.5
- 10 Simplismart 51
- 1 S&P Global 63.7
- 2 Sarj AI Developer API 62.9
- 3 Kensho 51.1
- 4 Fireflies.ai 47.3
- 5 TranscriptFetch 46.2
- 6 Speko 44.4
- 7 Allo-Media 37.8
- 8 Actionpower 35.8
- 9 Corti 32.9
- 10 Wispr AI 32.9
Work with this as data
Every tag here is available over the APIs.io API and to AI agents over MCP.