Start calling this model with endpoint-specific examples.
Headline benchmark standings and comparison context.
Key dates, capabilities, and model metadata.
Create a key, choose a supported route, and copy a ready request.
Choose a supported endpoint, pick a main language, then select the example style you want to copy.
import AIStats from '@ai-stats/sdk';
const client = new AIStats({
apiKey: process.env.AI_STATS_API_KEY,
});
const response = await client.generateTranscription({
"model": "openai/whisper-1",
"audio_url": "https://assets.ai-stats.com/sample-audio.wav",
"language": "en"
});
console.log(JSON.stringify(response, null, 2));Parameters
Aggregated across active providers for the audio transcription route.
Routing will select a compatible provider when a parameter narrows availability, so this list stays model-facing instead of provider-facing.
| Parameter | Description |
|---|---|
temperature | Controls how random token selection can be. |
response_format | Requests plain text, JSON, or schema-constrained output formats. |
language | See the full parameter reference for endpoint-specific semantics and provider caveats. |
prompt | See the full parameter reference for endpoint-specific semantics and provider caveats. |
timestamp_granularities | See the full parameter reference for endpoint-specific semantics and provider caveats. |
Select a route to update the request snippet and compatibility details.
/v1/audio/transcriptions/v1/audio/translations