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Create transcription

post https://api.openai.com/v1/audio/transcriptions

Transcribes audio into the input language.source

Request body

file

Required

The audio file object (not file name) to transcribe, in one of these formats: flac, mp3, mp4, mpeg, mpga, m4a, ogg, wav, or webm.source

model

stringsource

Required

ID of the model to use. Only whisper-1 (which is powered by our open source Whisper V2 model) is currently available.source

language

stringsource

Optional

The language of the input audio. Supplying the input language in ISO-639-1 format will improve accuracy and latency.source

prompt

stringsource

Optional

An optional text to guide the model's style or continue a previous audio segment. The prompt should match the audio language.source

response_format

stringsource

Optional

Defaults to json

The format of the output, in one of these options: json, text, srt, verbose_json, or vtt.source

temperature

numbersource

Optional

Defaults to 0

The sampling temperature, between 0 and 1. Higher values like 0.8 will make the output more random, while lower values like 0.2 will make it more focused and deterministic. If set to 0, the model will use log probability to automatically increase the temperature until certain thresholds are hit.source

timestamp_granularities[]

arraysource

Optional

Defaults to segment

The timestamp granularities to populate for this transcription. response_format must be set verbose_json to use timestamp granularities. Either or both of these options are supported: word, or segment. Note: There is no additional latency for segment timestamps, but generating word timestamps incurs additional latency.source

Returns

The transcription object or a verbose transcription object.source

Example request

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curl https://api.openai.com/v1/audio/transcriptions \
  -H "Authorization: Bearer $OPENAI_API_KEY" \
  -H "Content-Type: multipart/form-data" \
  -F file="@/path/to/file/audio.mp3" \
  -F model="whisper-1"

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from openai import OpenAI
client = OpenAI()

audio_file = open("speech.mp3", "rb")
transcript = client.audio.transcriptions.create(
  model="whisper-1",
  file=audio_file
)

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import fs from "fs";
import OpenAI from "openai";

const openai = new OpenAI();

async function main() {
  const transcription = await openai.audio.transcriptions.create({
    file: fs.createReadStream("audio.mp3"),
    model: "whisper-1",
  });

  console.log(transcription.text);
}
main();

Response

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{
  "text": "Imagine the wildest idea that you've ever had, and you're curious about how it might scale to something that's a 100, a 1,000 times bigger. This is a place where you can get to do that."
}