Transcription models on EmpirioLabs turn audio (and, for some, video) into text, with capabilities like word timestamps, language detection, or translation depending on the model. Point them at a file or URL and read back the transcript, billed per minute of audio.
Whisper Large v3 Turbo runs through POST /v1/audio/transcriptions. The request returns a job_id right away; poll GET /v1/jobs/{job_id} until the job completes and read the output URLs from the result. Swap the model id for any model above. Get an API key from the EmpirioLabs dashboard.
curl https://api.empiriolabs.ai/v1/audio/transcriptions \
-H "Authorization: Bearer $EMPIRIOLABS_API_KEY" \
-H "Content-Type: application/json" \
-d '{
"model": "whisper-large-v3-turbo",
"audio_url": "https://example.com/meeting-recording.mp3"
}'EmpirioLabs lists 3 النسخ models, including Whisper Large v3 Turbo, Deepgram Nova 3, OpenAI Whisper 1. Each model has its own dedicated API page with live pricing, parameters, and a quickstart.
Every النسخ model is billed pay as you go, with no monthly minimum. The exact rate card lives on each model's page and always matches what the API charges.
No. Every model here runs in the EmpirioLabs playground, a friendly in-browser interface where you can set the options and see results without writing any code. When you are ready to automate, the same model is available through the API.
Check out our pricing or reach out if you want your own model deployed on our stack.