Speech Recognition
Providers using this tag (53)
Ranked by API Evangelist rating — Exemplar and Strong are expanded by default.
Exemplar 1 Complete, well-documented, and agent-ready
Strong 6 Solid coverage with minor gaps
Developing 11 Usable, with meaningful gaps to close
Thin 11 Limited public surface area
Emerging 11 Early or largely undocumented
Minimal 12 Almost no public developer surface
Unrated 1 Not yet scored
APIs with this tag (15)
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 2 Solid coverage with minor gaps
Developing 6 Usable, with meaningful gaps to close
Thin 2 Limited public surface area
Emerging 5 Early or largely undocumented
Companies reaching this through an API (3)
These companies publish an API, specification or operation carrying “Speech Recognition” 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 49 providers in the APIs.io catalog tagged Speech Recognition, 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 | 38.2 | 23.2 | +15 | 49 |
| Access Clarity | 37.9 | 26.5 | +11.4 | 49 |
| Operational Transparency | 23.2 | 13.7 | +9.5 | 49 |
| Discoverability | 63.6 | 58.1 | +5.5 | 49 |
| Contract Quality | 21.8 | 17.6 | +4.2 | 49 |
| Contract Governance | 7.3 | 6.3 | +1 | 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) | 12% | 14% | -2 |
| MCP server (first-party) | 12% | 12% | 0 |
| Agent Skills | 0% | 0% | 0 |
| OAuth scopes | 8% | 11% | -3 |
| Security | 98% | 98% | 0 |
| Arazzo workflows | 2% | 2% | 0 |
| Governance rules | 10% | 14% | -4 |
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 Google Dialogflow 67.4
- 2 PyannoteAI 61.5
- 3 Gridspace 59.3
- 4 Amazon Transcribe 58.6
- 5 ASAPP 57.8
- 6 Actionpower 57.3
- 7 Suki AI 54.4
- 8 SLNG 53.6
- 9 Allo-Media 50.9
- 10 Speechmatics 48.6
- 1 Allo-Media 37.8
- 2 Google Dialogflow 35.7
- 3 PyannoteAI 33.8
- 4 Actionpower 33.6
- 5 StepFun 30.6
- 6 ASAPP 30.4
- 7 SLNG 30
- 8 Kotoba 28.5
- 9 Speechmatics 28.1
- 10 Moore Threads 28.1
Work with this as data
Every tag here is available over the APIs.io API and to AI agents over MCP.