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DeepInfra hosts Whisper and other speech recognition models. Given an audio file, they produce transcribed text with per-sentence timestamps. Browse all speech recognition models.

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Models

  • openai/whisper-large — best accuracy
  • openai/whisper-medium, openai/whisper-small, openai/whisper-base — faster, lighter
  • openai/whisper-timestamped-medium — per-word timestamp segmentation

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Example

curl -X POST \
    -H "Authorization: Bearer $DEEPINFRA_TOKEN" \
    -F audio=@audio.mp3 \
    'https://api.deepinfra.com/v1/inference/openai/whisper-large'

import { AutomaticSpeechRecognition } from "deepinfra";
import path from "path";
import { fileURLToPath } from "url";

const __filename = fileURLToPath(import.meta.url);
const __dirname = path.dirname(__filename);

const DEEPINFRA_API_KEY = "$DEEPINFRA_TOKEN";
const MODEL = "openai/whisper-large";

const client = new AutomaticSpeechRecognition(MODEL, DEEPINFRA_API_KEY);

const input = {
  audio: path.join(__dirname, "audio.mp3"),
};
const response = await client.generate(input);
console.log(response.text);

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Supported audio formats

  • mp3
  • wav

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Response

{
  "text": "Hello, this is a transcription of the audio file.",
  "segments": [
    {
      "start": 0.0,
      "end": 3.5,
      "text": "Hello, this is a transcription of the audio file."
    }
  ]
}

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Additional parameters

Each model exposes different parameters (language, task, etc.). Check the model’s API documentation page for details.

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Tutorial

See the Whisper tutorial for a complete walkthrough.