Speech-to-Text
Speech To TextSpeech to TextSpeech-To-TextSpeech-to-Textspeech to textspeech-to-textspeechToText
Providers using this tag (58)
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 22 Usable, with meaningful gaps to close
Thin 17 Limited public surface area
Emerging 8 Early or largely undocumented
Minimal 4 Almost no public developer surface
APIs with this tag (29)
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 1 Complete, well-documented, and agent-ready
Strong 6 Solid coverage with minor gaps
Developing 11 Usable, with meaningful gaps to close
Thin 9 Limited public surface area
Emerging 2 Early or largely undocumented
Score breakdown
Related tags
Where this tag comes from
Cohort brief
Auto-generatedThe 58 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 | 42.5 | 17.9 | +24.6 | 58 |
| Contract Quality | 39.9 | 17.5 | +22.4 | 58 |
| Operational Transparency | 27.6 | 11.3 | +16.3 | 58 |
| Access Clarity | 36.4 | 22.3 | +14.1 | 58 |
| Discoverability | 72.9 | 60.4 | +12.5 | 58 |
| Contract Governance | 13.3 | 6.4 | +6.9 | 58 |
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) | 40% | 16% | +24 |
| MCP server (first-party) | 17% | 7% | +10 |
| Agent Skills | 0% | 0% | 0 |
| OAuth scopes | 17% | 9% | +8 |
| Security | 95% | 88% | +7 |
| Arazzo workflows | 3% | 2% | +1 |
| Governance rules | 22% | 13% | +9 |
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 Inworld AI 66.7
- 2 S&P Global 64.6
- 3 Corti 62.4
- 4 KPN 61.9
- 5 RingCentral 58.2
- 6 Modulate 57.3
- 7 SLNG 56.9
- 8 Fireflies.ai 53.9
- 9 Simplismart 53.3
- 10 Speko 52.2
- 1 S&P Global 63.7
- 2 Sarj AI Developer API 60.4
- 3 Kensho 53.2
- 4 Fireflies.ai 47.3
- 5 RingCentral 41.4
- 6 Speko 41.1
- 7 KPN 40.8
- 8 Allo-Media 39.9
- 9 Corti 32.9
- 10 Interfaze 32.6
Work with this as data
Every tag here is available over the APIs.io API and to AI agents over MCP.
MCP server
One button, every client — Claude, Cursor, VS Code and the rest.
https://apis.io/mcp
Tools for tags
7 MCP tools reach this
find_tagsBrowse and filter every tag in the catalog.get_cohortThis tag as a scored cohort — every provider carrying it, with scores.cohort_statsPRO — the distribution across this tag: mean, median, band split, adoption rates.cohort_rankingsPRO — the leaderboard, on composite AND agent-readiness axes.apis_io_searchSTART HERE — APIs, providers and tags for one query, each with its total.resolveTurn a domain, URL or GitHub org into the provider it belongs to.find_cohortsEvery scored population of providers in the catalog.
Call it yourself
curl for this page
curl "https://apis.io/api/v1/tags/speech-to-text"
curl "https://apis.io/api/v1/tags?limit=25"
curl "https://apis.io/api/v1/cohorts/tag/speech-to-text"
curl "https://apis.io/api/v1/cohorts/tag/speech-to-text/stats" \
-H "X-API-Key: $APIS_IO_KEY"
Discovery needs no key. Ratings and market analysis are Pro.