POST /accounts/{account_id}/ai/run/@cf/openai/whisper-large-v3-turbo
Servers
- https://api.cloudflare.com/client/v4
Path parameters
| Name | Type | Required | Description |
|---|---|---|---|
account_id |
String | Yes |
Request headers
| Name | Type | Required | Description |
|---|---|---|---|
Content-Type |
String | Yes |
The media type of the request body.
Default value: "application/json" |
Query parameters
| Name | Type | Required | Description |
|---|---|---|---|
queueRequest |
String | No |
Request body fields
| Name | Type | Required | Description |
|---|---|---|---|
prefix |
String | No |
The prefix it appended the the beginning of the output of the transcription and can guide the transcription result. |
vad_filter |
String | No |
Preprocess the audio with a voice activity detection model. Default value: "false" |
audio |
String | Yes |
Base64 encoded value of the audio data. |
initial_prompt |
String | No |
A text prompt to help provide context to the model on the contents of the audio. |
task |
String | No |
Supported tasks are 'translate' or 'transcribe'. Default value: "transcribe" |
language |
String | No |
The language of the audio being transcribed or translated. Default value: "en" |
How to start integrating
- Add HTTP Task to your workflow definition.
- Search for the API you want to integrate with and click on the name.
- This loads the API reference documentation and prepares the Http request settings.
- Click Test request to test run your request to the API and see the API's response.