> ## 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. # Create transcription > Transcribe audio input into text using the configured transcription model and return the result. **Related guide**: Multimodal guide. See the [Multimodal guide](/ai-gateway/features/multimodal) for a walkthrough with examples. ## 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://my.orq.ai security: - ApiKey: [] tags: - name: Chunking description: Split text into smaller chunks for retrieval and generation workflows. - name: File Systems description: >- Create and manage persistent file systems that agents and MCP clients read from and write to. - name: Knowledge Bases description: Create and manage knowledge bases used by agents and retrieval workflows. - name: Memory Stores description: Create and manage memory stores, memories, and memory documents. - name: Evals description: Run an evaluator against a conversation and its result - name: Logs description: >- OpenTelemetry log query API. Search, filter, aggregate, and facet log records ingested via OTLP. - 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: Traces description: >- Query and inspect ingested trace data: search trace summaries, aggregate metrics, and read individual traces and their spans. - description: List models available through the AI Router. name: Models - name: Policies - name: Alerts description: >- Alerts evaluate a Reporting API metric on a fixed interval and fire notifications through notifiers when the value breaches a threshold. Each breach opens a trigger that tracks the incident until the value recovers. - name: Annotation Queues description: Annotation queues collect spans for human review. - name: API keys description: >- API keys authenticate programmatic access to the workspace. They expose opaque tokens, per-domain access grants, and budget and rate-limit constraints. - name: Audit Logs description: Audit logs record workspace entity changes and access-relevant events. - name: Budgets description: >- Budgets govern spend, token usage, and request rate across six scopes: workspace, project, identity, API key, provider, and model. Every applicable budget is enforced, and the most restrictive limit applies per dimension. - name: Files description: File upload and retrieval operations. - name: Guardrail Rules description: >- Guardrail Rules conditionally enforce evaluators and plugins for AI Gateway traffic. Rules may be scoped to a project or the whole workspace. - name: Hub description: Hub items are reusable templates available to a workspace. - name: Identities description: >- Identities represent end users from your system for usage and engagement tracking. - name: Management keys description: >- Management keys are workspace-scoped credentials that authenticate programmatic access to workspace administration surfaces (API keys, budgets). Unlike project-scoped API keys, a management key always operates at the workspace level. - name: MCP Gateway description: >- Register upstream MCP servers, discover and sync their tools, and assemble gateways that expose a curated tool surface to MCP clients. - name: Model Catalog description: >- Browse the orq.ai model catalog: every model orq offers, across every provider, with pricing, capabilities and benchmark data. List endpoints only return models that are not deprecated. This API is public, requires no authentication, and is rate limited to 120 requests per minute per IP. Responses carry a 5-minute cache-control max-age. - name: Notifiers description: Notifier destinations used to send delivery and workflow notifications. - name: Projects description: Projects organize resources within a workspace - name: Routing Rules description: >- Routing Rules conditionally select models and enforce request plugins for AI Gateway traffic. Rules are evaluated by ascending priority and may be scoped to a project or the whole workspace. - name: Threads description: Threads group related trace invocations and their aggregate usage - name: Skills description: >- Skills are modular instructions you can use to codify processes and conventions - name: Smart Routers description: >- Create and manage workspace Smart Routers. A Smart Router selects a model from an eligible pool for each request according to a quality, balanced, or cost profile. - name: Webhooks description: >- Create and manage webhooks that deliver workspace events to external HTTPS endpoints. - name: Workspaces description: >- A workspace is the tenant. Create is called from a user session during onboarding; Get, List, and Update are the public management surface. - name: Workspace Security description: >- Workspace-level domain verification and IP allowlist controls. These operations are restricted to workspace administrators. - name: Workspace Settings description: >- Workspace-level settings managed with a workspace credential. A workspace is the tenant, so these settings are a singleton — there is nothing to create or delete, only read and update. - name: Responses - description: Run agents on a cron cadence. Minimum firing interval is 1 hour. name: Agent Schedules - name: Embeddings - name: Telemetry description: >- Unified query envelope for traces, metrics, and logs. One request shape, one filter dialect, and one response shape per source, validated by a per-source registry. - description: Beta. Run typed classification questions against a classify model. name: Classify - description: Search Gateway with managed credits or BYOK. name: Web Search externalDocs: url: https://docs.orq.ai description: orq.ai Documentation paths: /v2/router/audio/transcriptions: post: tags: - Audio summary: Create transcription description: >- Transcribe audio input into text using the configured transcription model and return the result. 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: description: >- The name to display on the trace. If not specified, the default system name will be used. type: string 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 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-5.6-sol 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: description: >- The name to display on the trace. If not specified, the default system name will be used. type: string fallbacks: type: array items: type: object properties: model: type: string description: Fallback model identifier example: openai/gpt-5.4-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 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-5.6-sol 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. 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 ```` This documentation is built and hosted on [Mintlify](https://mintlify.com), a developer documentation platform.