Test one request first
For Realtime speech to text API, start with a short input in your target language. Verify the response and measure processing time before connecting a queue or customer-facing feature.
AI voice workflow
Plan your Realtime speech to text API integration with a sample request, the required output format and a clear error-handling strategy. Keep API credentials on your server.
Aisha AI · Updated
Use case
For Realtime speech to text API, start with a short input in your target language. Verify the response and measure processing time before connecting a queue or customer-facing feature.
Aisha docs include realtime STT WebSocket and gRPC streaming examples; this page routes teams to that workflow.
Use the current API reference to check authentication, limits and response states. Test invalid input and failed requests before automating repeated work.
Evaluate results with your own material. Keep separate results for each language and recording or playback condition.
Transcribe a short recording. Compare names, numbers, negations and language switches against the audio.
Keep API credentials on your server. Check documented formats, limits and response states, and test a failed request before automating the process.
Do not generalize one language result to the entire catalog. Ask someone familiar with the target accent and terminology to review the output.
Prepare the use case and API key.
Choose the endpoint and format from the docs.
Connect the integration from your backend or server flow.
Yes. The page links to the relevant Aisha API documentation.
No. Code and endpoint details stay in the official docs.
Private API keys are safer on the server side; the final architecture depends on the product.