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STT (Speech → Text)
Beta
Convert speech to text — for transcripts, captions, call analytics, and voice input.
Overview
STT (Speech → Text)
Use it for meeting transcripts, video captions, call-center analytics, voice memo to text, and voice input. Multilingual; Whisper-family models also return word- and segment-level timestamps. Upload the audio file as multipart.
- Endpoint
- /v1/audio/transcriptions
- Example model
- sensevoice
API
API example
# 1) discover an online STT model — Grid's set changes constantly,
# don't hardcode an id in your code.
MODEL=$(curl -s https://api.openalchemy.io/v1/models \
-H "Authorization: Bearer $OPENALCHEMY_API_KEY" \
| jq -r '.data[] | select(.online and .endpoint_type=="stt") | .id' \
| head -1)
# 2) transcribe (multipart upload)
curl https://api.openalchemy.io/v1/audio/transcriptions \
-H "Authorization: Bearer $OPENALCHEMY_API_KEY" \
-H "X-Project-Id: $YOUR_PROJECT_ID" \
-F "model=$MODEL" \
-F "file=@meeting.m4a" \
-F "response_format=json"Status
Quota and pricing (per project)
Allotments and rate limits apply to the project that issued the API key. A second domain-scoped policy layer constrains which origins may invoke each modality.
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