
Speech-to-text for short clips and long recordings, with sentence segments, word timestamps, and multilingual and Chinese dialect recognition.
Speech-to-text for short clips and long recordings, with sentence segments, word timestamps, and multilingual and Chinese dialect recognition.
Upload a file or pass an audio URL. The language is detected automatically.
Also known as Qwen Audio ASR, Alibaba Cloud Qwen Audio 3.1 ASR
qwen-audio-3-1-asr/v1/audio/transcriptionsqwen-audio-3.1-asralibaba/qwen-audio-3-1-asrLive pay-as-you-go rates from the EmpirioLabs catalog. You are billed only for what you use, with no monthly minimum.
Qwen Audio 3.1 ASR 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. 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": "qwen-audio-3-1-asr",
"audio_url": "https://example.com/meeting-recording.mp3"
}'curl https://api.empiriolabs.ai/v1/jobs/JOB_ID \
-H "Authorization: Bearer $EMPIRIOLABS_API_KEY"import requests
response = requests.post(
"https://api.empiriolabs.ai/v1/audio/transcriptions",
headers={"Authorization": "Bearer YOUR_EMPIRIOLABS_API_KEY"},
json={
"model": "qwen-audio-3-1-asr",
"audio_url": "https://example.com/meeting-recording.mp3",
},
)
job = response.json()
# Generation runs as an async job. Poll until it completes.
import time
while True:
status = requests.get(
f"https://api.empiriolabs.ai/v1/jobs/{job['job_id']}",
headers={"Authorization": "Bearer YOUR_EMPIRIOLABS_API_KEY"},
).json()
if status.get("status") in ("completed", "failed"):
print(status)
break
time.sleep(5)Send a file as multipart file, or JSON with audio_url or audio_base64, in common audio formats. Short clips and long recordings are both accepted.
The request returns a job_id and a poll_url right away. Poll GET /v1/jobs/<job-id> until status is completed. Short clips finish in seconds; long recordings take longer.
The result of the completed job holds the full transcript as text, sentence segments with start and end times, and word timestamps. The language is detected automatically, including Chinese dialects.
Input and output tokens are priced per 1M, and each request is billed from the usage the model reports.
On EmpirioLabs, Qwen Audio 3.1 ASR is billed pay as you go: Input $0.30 per 1M audio input tokens; Output $0.94 per 1M generated tokens. The live rate card on this page always matches what the API charges.
Qwen Audio 3.1 ASR is served through POST /v1/audio/transcriptions on api.empiriolabs.ai with standard bearer-token authentication.
Yes. The EmpirioLabs playground runs Qwen Audio 3.1 ASR in the browser with the same parameters the API exposes, so you can test prompts before writing code.
Create an EmpirioLabs account, then generate a key under API Keys in the dashboard. Billing is pay-as-you-go credits, so you only pay for the requests you make.
Check out our pricing or reach out if you want your own model deployed on our stack.