Overall Score
69.3
#14 of 28
Word Error Rate
17.67%
Character Error Rate
13.06%
Match Error Rate
16.55%
Word Info Lost
21.63%
Avg Latency
3.3s
Benchmarks Run
35
last 30 runs
Word error rate
17.67%
↓ 26.6% · 30d
3 runs ago
latest
Avg latency
3.3s
↓ 23.7% · 30d
3 runs ago
latest
overall WER · 28 models
Whisper Large V3
field · 27 models
lower-left is better
8 categories
WER
lower is better
Legal
2.4%
Finance
6.0%
Technical
6.5%
Medical
6.6%
Conversational
11.2%
General
14.9%
Noisy Environment
36.3%
Code-Switching
62.7%
5 accents
pay per second
Rate
$0.006
/min
Per-second billing. Bring your own provider key and pay your provider directly — a 5% routing fee applies (first 100 min/mo free).
Set up BYOKCost estimator
1 hour
$0.36
10 hours
$3.60
100 hours
$36
1,000 hours
$360
Billed per second of audio processed.
POST /api/v1/transcriptions
Model ID
openai/whisper-large-v3
Authenticate every request with your secret API key as a Bearer token. Issue a key from your dashboard.
Quickstart
Upload your audio, create a job with this model, then poll the job or set a webhook_url to be notified when it completes.
Key parameters
file_path
string
required
Storage path returned by the upload step.
model
string
required
The model to run this job on.
language
string
ISO 639-1 language code. Omit to auto-detect.
webhook_url
string
HTTPS URL notified with the result when the job completes. Delivered events are signed (X-OT-Signature).
Response
A completed job returns the transcript in the OpenTranscription Unified Schema (OTUS).
Webhooks — skip polling
We POST a signed event to your webhook_url when a job completes or fails; verify the X-OT-Signature (HMAC-SHA256, reject if older than 300 s) and dedupe on the event id, then fetch the full transcript via GET /api/v1/transcriptions/{id}.
Rate-limited per tier — see the X-RateLimit-* response headers.
Full API referenceSupported Languages
Supported Formats
Features
Whisper Large V3 is a speech-to-text model from OpenAI. In our standardized benchmarks it reaches 18.81% word error rate, ranking #14 of 28 models tested. It supports 98 languages and runs at $0.006/min — mid-range on price.
Its nearest benchmarked alternative is Amazon Transcribe. Best suited for multilingual workloads.