> ## Documentation Index > Fetch the complete documentation index at: https://openai-hd4n6.mintlify.site/llms.txt > Use this file to discover all available pages before exploring further. # Create translation > Translates audio into English. ## OpenAPI ````yaml api-definition.yaml post /audio/translations openapi: 3.0.0 info: title: OpenAI API description: >- The OpenAI REST API. Please see https://platform.openai.com/docs/api-reference for more details. version: 2.3.0 termsOfService: https://openai.com/policies/terms-of-use contact: name: OpenAI Support url: https://help.openai.com/ license: name: MIT url: https://github.com/openai/openai-openapi/blob/master/LICENSE servers: - url: https://api.openai.com/v1 security: - ApiKeyAuth: [] tags: - name: Assistants description: Build Assistants that can call models and use tools. - name: Audio description: Turn audio into text or text into audio. - name: Chat description: >- Given a list of messages comprising a conversation, the model will return a response. - name: Completions description: >- Given a prompt, the model will return one or more predicted completions, and can also return the probabilities of alternative tokens at each position. - name: Embeddings description: >- Get a vector representation of a given input that can be easily consumed by machine learning models and algorithms. - name: Evals description: Manage and run evals in the OpenAI platform. - name: Fine-tuning description: Manage fine-tuning jobs to tailor a model to your specific training data. - name: Batch description: Create large batches of API requests to run asynchronously. - name: Files description: >- Files are used to upload documents that can be used with features like Assistants and Fine-tuning. - name: Uploads description: Use Uploads to upload large files in multiple parts. - name: Images description: Given a prompt and/or an input image, the model will generate a new image. - name: Models description: List and describe the various models available in the API. - name: Moderations description: >- Given text and/or image inputs, classifies if those inputs are potentially harmful. - name: Audit Logs description: List user actions and configuration changes within this organization. paths: /audio/translations: post: tags: - Audio summary: Create translation description: Translates audio into English. operationId: createTranslation 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' 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: 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 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 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 ````