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POST
/
api
/
v1
/
runtime
/
v1
/
transcribe
Transcribe audio to text using Whisper
curl --request POST \
  --url https://api.runflow.ai/api/v1/runtime/v1/transcribe \
  --header 'Content-Type: application/json' \
  --data '
{
  "audioUrl": "<string>",
  "language": "<string>",
  "provider": "openai",
  "model": "whisper-1"
}
'

Documentation Index

Fetch the complete documentation index at: https://docs.runflow.ai/llms.txt

Use this file to discover all available pages before exploring further.

Body

application/json
​
audioUrl
string
required

URL of the audio file to transcribe

​
language
string

Language code (e.g., pt, en, es). Auto-detect if not provided.

​
provider
enum<string>
default:openai

Transcription provider

Available options:
openai,
deepgram,
assemblyai,
google
​
model
string

Model to use (provider-specific)

Example:

"whisper-1"

Response

Transcription result: { text, language?, duration?, provider? }.