Scribe V2

POST/v1/run

Scribe V2 is ElevenLabs's speech recognition model. Transcribe audio content with industry-leading accuracy across multiple languages and accents.

Request body

Submit an async generation request. The model field selects the model; other fields are model-specific input parameters.

stringmodelrequired

Model identifier. Set to elevenlabs/scribe-v2.

Default: elevenlabs/scribe-v2

Optional<string>audio

URL of the audio file to transcribe

Optional<boolean>tag_audio_events

Tag audio events like laughter, applause, etc.

Default: true

Optional<boolean>diarize

Whether to annotate who is speaking

Default: true

Optional<string>language_code

Language code of the audio

Response Schema

The submit endpoint returns an accepted generation task. Poll the result endpoint with the returned id for terminal outputs or errors.

Optional<string>error

Error message if the task failed. Empty on success.

stringidrequired

Unique identifier for the generation task.

Optional<string>model

Model ID used for the prediction.

Optional<array>outputs

Array of generated content. Empty when status is not completed.

stringstatusrequired

Status of the task: pending, running, completed, failed, or timeout.

Allowed values: pending, running, completed, failed, timeout

Model capabilities

array<string>capability_tagsrequired

Capabilities declared by the model registry.

Default: speech-to-text

stringexecution_moderequired

Execution mode declared by the model registry.

Default: async

# 1. Submit a generation request
curl -X POST https://api.sandbase.ai/v1/run \
  -H "Authorization: Bearer $SANDBASE_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
  "model": "elevenlabs/scribe-v2",
  "audio": "https://static.sandbase.ai/examples/elevenlabs/scribe-v2/input_audio_0.mp3"
}'

# 2. If the response is still running, poll the returned id
curl https://api.sandbase.ai/v1/run/run_abc123 \
  -H "Authorization: Bearer $SANDBASE_API_KEY"

Response202 Accepted

{
  "id": "run_abc123",
  "model": "elevenlabs/scribe-v2",
  "status": "running",
  "outputs": []
}