---
title: "Translates audio into English."
url: "https://kongair.terwilligar.com/apis/openai-api-2-3-0/versions/ea92d048-c746-4ead-a6a8-da28d93137d1/operations/createTranslation"
---

> Full API specification: https://kongair.terwilligar.com/apis/openai-api-2-3-0/versions/ea92d048-c746-4ead-a6a8-da28d93137d1.md

# Translates audio into English.

`POST` `/audio/translations`

Operation ID: `createTranslation`

## Request body (required)

Content types: `multipart/form-data`

## Responses

- `200` - OK

## OpenAPI definition

```yaml
openapi: 3.0.0
info:
  title: OpenAI API
  version: 2.3.0
servers:
  - url: https://api.openai.com/v1
paths:
  /audio/translations:
    post:
      operationId: createTranslation
      tags:
        - Audio
      summary: Translates audio into English.
      requestBody:
        required: true
        content:
          multipart/form-data:
            schema:
              $ref: "#/components/schemas/CreateTranslationRequest"
      responses:
        "200":
          description: OK
          content:
            application/json:
              schema:
                oneOf:
                  - $ref: "#/components/schemas/CreateTranslationResponseJson"
                  - $ref: "#/components/schemas/CreateTranslationResponseVerboseJson"
      x-oaiMeta:
        name: Create translation
        group: audio
        returns: The translated text.
        examples:
          request:
            curl: |
              curl https://api.openai.com/v1/audio/translations \
                -H "Authorization: Bearer $OPENAI_API_KEY" \
                -H "Content-Type: multipart/form-data" \
                -F file="@/path/to/file/german.m4a" \
                -F model="whisper-1"
            python: |
              from openai import OpenAI
              client = OpenAI()

              audio_file = open("speech.mp3", "rb")
              transcript = client.audio.translations.create(
                model="whisper-1",
                file=audio_file
              )
            node: |
              import fs from "fs";
              import OpenAI from "openai";

              const openai = new OpenAI();

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

                  console.log(translation.text);
              }
              main();
          response: >
            {
              "text": "Hello, my name is Wolfgang and I come from Germany. Where are you heading today?"
            }
security:
  - ApiKeyAuth: []
components:
  schemas:
    CreateTranslationRequest:
      type: object
      additionalProperties: false
      properties:
        file:
          description: >
            The audio file object (not file name) translate, in one of these
            formats: flac, mp3, mp4, mpeg, mpga, m4a, ogg, wav, or webm.
          type: string
          x-oaiTypeLabel: file
          format: binary
        model:
          description: >
            ID of the model to use. Only `whisper-1` (which is powered by our
            open source Whisper V2 model) is currently available.
          example: whisper-1
          anyOf:
            - type: string
            - type: string
              enum:
                - whisper-1
              x-stainless-const: true
          x-oaiTypeLabel: string
        prompt:
          description: >
            An optional text to guide the model's style or continue a previous
            audio segment. The [prompt](/docs/guides/speech-to-text#prompting)
            should be in English.
          type: string
        response_format:
          $ref: "#/components/schemas/AudioResponseFormat"
        temperature:
          description: >
            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](https://en.wikipedia.org/wiki/Log_probability)
            to automatically increase the temperature until certain thresholds
            are hit.
          type: number
          default: 0
      required:
        - file
        - model
    CreateTranslationResponseJson:
      type: object
      properties:
        text:
          type: string
      required:
        - text
    CreateTranslationResponseVerboseJson:
      type: object
      properties:
        language:
          type: string
          description: The language of the output translation (always `english`).
        duration:
          type: number
          description: The duration of the input audio.
        text:
          type: string
          description: The translated text.
        segments:
          type: array
          description: Segments of the translated text and their corresponding details.
          items:
            $ref: "#/components/schemas/TranscriptionSegment"
      required:
        - language
        - duration
        - text
    AudioResponseFormat:
      description: >
        The format of the output, in one of these options: `json`, `text`,
        `srt`, `verbose_json`, or `vtt`.
      type: string
      enum:
        - json
        - text
        - srt
        - verbose_json
        - vtt
      default: json
    TranscriptionSegment:
      type: object
      properties:
        id:
          type: integer
          description: Unique identifier of the segment.
        seek:
          type: integer
          description: Seek offset of the segment.
        start:
          type: number
          format: float
          description: Start time of the segment in seconds.
        end:
          type: number
          format: float
          description: End time of the segment in seconds.
        text:
          type: string
          description: Text content of the segment.
        tokens:
          type: array
          items:
            type: integer
          description: Array of token IDs for the text content.
        temperature:
          type: number
          format: float
          description: Temperature parameter used for generating the segment.
        avg_logprob:
          type: number
          format: float
          description: Average logprob of the segment. If the value is lower than -1,
            consider the logprobs failed.
        compression_ratio:
          type: number
          format: float
          description: Compression ratio of the segment. If the value is greater than 2.4,
            consider the compression failed.
        no_speech_prob:
          type: number
          format: float
          description: Probability of no speech in the segment. If the value is higher
            than 1.0 and the `avg_logprob` is below -1, consider this segment
            silent.
      required:
        - id
        - seek
        - start
        - end
        - text
        - tokens
        - temperature
        - avg_logprob
        - compression_ratio
        - no_speech_prob
  securitySchemes:
    ApiKeyAuth:
      type: http
      scheme: bearer
```