STT Language Evaluation Planner
Check current provider documentation, then compare the same recording before choosing a route
Provider coverage changes by model and input mode. This planner does not treat a brand-level language list as a support guarantee.
Provider documentation checklist
Review the current model page first, then open the matching OpenTypeless setup Doc. A provider card is a test candidate, not a language-support claim.
Deepgram
Confirm the current language entry for the exact model and route, then capture the documentation date with your test result.
OpenAI Whisper
Confirm the current language entry for the exact model and route, then capture the documentation date with your test result.
Groq Whisper
Confirm the current language entry for the exact model and route, then capture the documentation date with your test result.
AssemblyAI
Confirm the current language entry for the exact model and route, then capture the documentation date with your test result.
GLM-ASR
Confirm the current language entry for the exact model and route, then capture the documentation date with your test result.
Use one comparison worksheet
Documentation match
Record the exact model, input mode, language or dialect label, and the date you checked the provider documentation.
Transcript output
Use the same representative recording and compare names, domain terms, punctuation, mixed-language speech, and omissions.
Full-route behavior
Log setup errors, formatting differences, and end-to-end response time in the OpenTypeless workflow you will actually use.
Frequently asked questions
How should I compare STT language coverage?
Review each provider's current model and language documentation, then test representative speech in your language, accent, and vocabulary. Coverage labels do not replace an output comparison.
Does Deepgram support Chinese?
Check Deepgram's current official documentation for the exact model and input mode you plan to use. Then compare a representative Mandarin, Cantonese, or mixed-language recording with the other candidate routes instead of relying on a brand-level answer.
Which provider is best for Arabic speech recognition?
There is no durable best provider for every Arabic dialect and recording environment. Confirm current model documentation, then test the same representative recording for dialect terms, names, omissions, punctuation, and right-to-left output.
Can I auto-detect the language with these providers?
Language-selection and detection behavior can differ by provider, model, and input mode. Verify the current official documentation for the route you will configure, and compare explicit-language and detection settings with the same representative recording when both are documented.