Whisper Large V3

by OpenAI

Industry-leading speech-to-text with multilingual support.

Parameters
1.5B
Context Length
30s
Category
audio
Available Serverless

Run queries immediately, pay only for usage

$0.006in|$0.006out

Per 1M Tokens

Try this modelView documentation

About this model

Whisper Large V3 is OpenAI's most capable speech recognition model, trained on 680,000 hours of multilingual audio data. It supports transcription and translation for 99 languages with high accuracy, even in noisy environments or with accented speech.

Capabilities

TranscriptionTranslation99 LanguagesNoise RobustAccent Recognition

Use Cases

  • Meeting Transcription
  • Podcast Processing
  • Voice Assistants
  • Subtitle Generation

Model Details

Provider
OpenAI
Model ID
openai/whisper-large-v3
Parameters
1.5B
Context Length
30s tokens
Category
audio

API Usage

Use the DOS API to integrate Whisper Large V3 into your applications. Our API is compatible with OpenAI's client libraries for easy migration.

Model ID

openai/whisper-large-v3

Python

python
from dos import DOS

client = DOS()

response = client.chat.completions.create(
    model="openai/whisper-large-v3",
    messages=[
        {"role": "user", "content": "Hello, how are you?"}
    ]
)

print(response.choices[0].message.content)

cURL

bash
curl https://api.dos.ai/v1/chat/completions \
  -H "Authorization: Bearer $DOS_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "openai/whisper-large-v3",
    "messages": [
      {"role": "user", "content": "Hello, how are you?"}
    ]
  }'

Node.js

javascript
import DOS from 'dos-ai';

const client = new DOS();

const response = await client.chat.completions.create({
  model: "openai/whisper-large-v3",
  messages: [
    { role: "user", content: "Hello, how are you?" }
  ]
});

console.log(response.choices[0].message.content);

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