> ## Documentation Index > Fetch the complete documentation index at: https://docs.orq.ai/llms.txt > Use this file to discover all available pages before exploring further. > Transcribe audio files to text using the AI Router. Supports multiple audio formats and languages with automatic speech recognition models. # Create transcription ## OpenAPI ````yaml post /v2/router/audio/transcriptions openapi: 3.1.0 info: title: orq.ai API version: '2.0' description: orq.ai API documentation servers: - url: https://api.orq.ai security: - ApiKey: [] tags: - name: Guardrail Rules - name: Policies - name: Routing Rules - name: Files description: File upload and retrieval operations. - name: FilesService - name: Projects description: Projects organize resources within a workspace - name: ProjectsService - name: Skills description: >- Skills are modular instructions you can use to codify processes and conventions - name: SkillsService - name: Responses - description: >- Run agents on a cadence — cron, interval, or one-off. Minimum firing interval is 1 hour. name: Agent Schedules - name: Reporting description: >- GenAI reporting API over canonical analytics rollups. Accepts a metric name, time range, grain, group-by, and filters; returns a typed time series and optional totals. - name: ReportingService description: |- ReportingService exposes a single QueryReport RPC that maps allowlisted analytics payloads onto safe rollup queries. Callers never send SQL; the backend picks the rollup family and grain from the metric catalogue, the requested range, and the requested grouping. externalDocs: url: https://docs.orq.ai description: orq.ai Documentation paths: /v2/router/audio/transcriptions: post: tags: - Audio summary: Create transcription operationId: createTranscription requestBody: required: true description: Transcribes audio into the input language. content: multipart/form-data: schema: type: object properties: model: type: string description: ID of the model to use prompt: type: string description: >- An optional text to guide the model's style or continue a previous audio segment. The prompt should match the audio language. enable_logging: type: boolean default: true description: >- When enable_logging is set to false, zero retention mode is used. This disables history features like request stitching and is only available to enterprise customers. diarize: type: boolean default: false description: >- Whether to annotate which speaker is currently talking in the uploaded file. response_format: type: string enum: - json - text - srt - verbose_json - vtt description: >- The format of the transcript output, in one of these options: json, text, srt, verbose_json, or vtt. tag_audio_events: type: boolean default: true description: >- Whether to tag audio events like (laughter), (footsteps), etc. in the transcription. num_speakers: type: number description: >- The maximum amount of speakers talking in the uploaded file. Helps with predicting who speaks when, the maximum is 32. timestamps_granularity: type: string enum: - none - word - character default: word description: >- The granularity of the timestamps in the transcription. Word provides word-level timestamps and character provides character-level timestamps per word. temperature: type: number example: 0.5 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 to automatically increase the temperature until certain thresholds are hit. language: type: string description: >- The language of the input audio. Supplying the input language in ISO-639-1 format will improve accuracy and latency. timestamp_granularities: type: array items: type: string enum: - word - segment description: >- The timestamp granularities to populate for this transcription. response_format must be set to 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. example: - word - segment name: type: string description: >- The name to display on the trace. If not specified, the default system name will be used. fallbacks: type: array items: type: object properties: model: type: string description: Fallback model identifier required: - model description: Array of fallback models to use if primary model fails retry: type: object properties: count: type: number minimum: 1 maximum: 5 default: 3 description: Number of retry attempts (1-5) example: 3 on_codes: type: array items: type: number minimum: 100 maximum: 599 minItems: 1 default: - 429 description: HTTP status codes that trigger retry logic example: - 429 - 500 - 502 - 503 - 504 description: Retry configuration for the request load_balancer: oneOf: - type: object properties: type: type: string enum: - weight_based models: type: array items: type: object properties: model: type: string description: Model identifier for load balancing example: openai/gpt-4o weight: type: number minimum: 0.001 maximum: 1 default: 0.5 description: >- Weight assigned to this model for load balancing example: 0.7 required: - model required: - type - models description: Load balancer configuration for the request. timeout: type: object properties: call_timeout: type: number minimum: 1 description: Timeout value in milliseconds example: 30000 required: - call_timeout description: >- Timeout configuration to apply to the request. If the request exceeds the timeout, it will be retried or fallback to the next model if configured. orq: type: object properties: name: type: string description: >- The name to display on the trace. If not specified, the default system name will be used. fallbacks: type: array items: type: object properties: model: type: string description: Fallback model identifier example: openai/gpt-4o-mini required: - model description: Array of fallback models to use if primary model fails retry: type: object properties: count: type: number minimum: 1 maximum: 5 default: 3 description: Number of retry attempts (1-5) example: 3 on_codes: type: array items: type: number minimum: 100 maximum: 599 minItems: 1 default: - 429 description: HTTP status codes that trigger retry logic example: - 429 - 500 - 502 - 503 - 504 description: Retry configuration for the request identity: $ref: '#/components/schemas/PublicIdentity' contact: $ref: '#/components/schemas/PublicContact' load_balancer: oneOf: - type: object properties: type: type: string enum: - weight_based models: type: array items: type: object properties: model: type: string description: Model identifier for load balancing example: openai/gpt-4o weight: type: number minimum: 0.001 maximum: 1 default: 0.5 description: >- Weight assigned to this model for load balancing example: 0.7 required: - model required: - type - models description: Array of models with weights for load balancing requests example: type: weight_based models: - model: openai/gpt-4o weight: 0.7 - model: anthropic/claude-3-5-sonnet weight: 0.3 timeout: type: object properties: call_timeout: type: number minimum: 1 description: Timeout value in milliseconds example: 30000 required: - call_timeout description: >- Timeout configuration to apply to the request. If the request exceeds the timeout, it will be retried or fallback to the next model if configured. file: type: string description: >- The audio file object (not file name) to transcribe, in one of these formats: flac, mp3, mp4, mpeg, mpga, m4a, ogg, wav, or webm. format: binary required: - model responses: '200': description: Returns the transcription or verbose transcription content: application/json: schema: anyOf: - type: object properties: text: type: string required: - text - type: object properties: task: type: string language: type: string duration: type: number text: type: string words: type: array items: type: object properties: word: type: string start: type: number end: type: number segments: type: array items: type: object properties: id: type: number seek: type: number start: type: number end: type: number text: type: string tokens: type: array items: type: number temperature: type: number avg_logprob: type: number compression_ratio: type: number no_speech_prob: type: number required: - id - seek - start - end - text - tokens - temperature - avg_logprob - compression_ratio - no_speech_prob required: - text - type: string '422': description: Returns validation error content: application/json: schema: type: object properties: error: type: object properties: message: type: string type: type: string param: type: - string - 'null' code: type: string required: - message - type - param - code required: - error components: schemas: PublicIdentity: type: object properties: id: type: string description: Unique identifier for the contact example: contact_01ARZ3NDEKTSV4RRFFQ69G5FAV display_name: type: string description: Display name of the contact example: Jane Doe email: type: string format: email description: Email address of the contact example: jane.doe@example.com metadata: type: array items: type: object additionalProperties: {} description: >- A hash of key/value pairs containing any other data about the contact example: - department: Engineering role: Senior Developer logo_url: type: string description: URL to the contact's avatar or logo example: https://example.com/avatars/jane-doe.jpg tags: type: array items: type: string description: A list of tags associated with the contact example: - hr - engineering required: - id description: >- Information about the identity making the request. If the identity does not exist, it will be created automatically. PublicContact: type: object properties: id: type: string description: Unique identifier for the contact example: contact_01ARZ3NDEKTSV4RRFFQ69G5FAV display_name: type: string description: Display name of the contact example: Jane Doe email: type: string format: email description: Email address of the contact example: jane.doe@example.com metadata: type: array items: type: object additionalProperties: {} description: >- A hash of key/value pairs containing any other data about the contact example: - department: Engineering role: Senior Developer logo_url: type: string description: URL to the contact's avatar or logo example: https://example.com/avatars/jane-doe.jpg tags: type: array items: type: string description: A list of tags associated with the contact example: - hr - engineering required: - id description: >- @deprecated Use identity instead. Information about the contact making the request. deprecated: true securitySchemes: ApiKey: type: http scheme: bearer bearerFormat: JWT ````