Automate transcription
Listening to recordings and typing notes is slow and expensive. STT turns files into structured text for operational use.
For calls and meetings
Customer calls, sales conversations and internal meetings can be converted into transcripts for follow-up and analysis.
Scale with the API
For many files or longer workflows, the API supports asynchronous processing and status checks.
What to check before launch
Evaluate results with your own material. Keep separate results for each language and recording or playback condition.
Try a representative sample
Transcribe a short recording. Compare names, numbers, negations and language switches against the audio.
Connect it to the product
Keep API credentials on your server. Check documented formats, limits and response states, and test a failed request before automating the process.
Review each language
Do not generalize one language result to the entire catalog. Ask someone familiar with the target accent and terminology to review the output.
How it works
1
Send the audio file.
2
Select language and diarization options.
3
Retrieve the finished transcript.
Which workflow fits your use case?
STT language pages
API and developer paths
Use case pages
Related pages
Frequently asked questions
Which audio formats are supported?
Supported formats and limits are documented in the STT API reference.
Can it handle longer audio?
Larger files can be processed through the asynchronous STT flow.
Can transcripts feed call analytics?
Yes. Transcripts can be connected to Call Metrics and other internal systems.