POST
/
dedicated
/
v1
/
audio
/
transcriptions
Audio transcriptions
curl --request POST \
  --url https://api.friendli.ai/dedicated/v1/audio/transcriptions \
  --header 'Authorization: Bearer <token>' \
  --header 'Content-Type: multipart/form-data' \
  --form file=@example-file \
  --form 'model=(endpoint-id)'
{
  "text": "Hello, how are you?"
}
Given an audio file, the model transcribes it into text. To request successfully, it is mandatory to enter a Friendli Token (e.g. flp_XXX) value in the Bearer Token field. Refer to the authentication section on our introduction page to learn how to acquire this variable and visit here to generate your token.
This API is currently in Beta. While we strive to provide a stable and reliable experience, this feature is still under active development. As a result, you may encounter unexpected behavior or limitations. We encourage you to provide feedback to help us improve the feature before its official release.

Authorizations

​
Authorization
string
header
required

When using Friendli Suite API for inference requests, you need to provide a Friendli Token for authentication and authorization purposes.

For more detailed information, please refer here.

Headers

​
X-Friendli-Team
string | null

ID of team to run requests as (optional parameter).

Body

multipart/form-data
​
file
file
required

The audio file object (not file name) to transcribe, in one of these formats: mp3, wav, flac, ogg, and many other standard audio formats.

​
model
string
required

ID of target endpoint. If you want to send request to specific adapter, use the format "YOUR_ENDPOINT_ID:YOUR_ADAPTER_ROUTE". Otherwise, you can just use "YOUR_ENDPOINT_ID" alone.

Examples:

"(endpoint-id)"

​
chunking_strategy

Controls how the audio is cut into chunks. When set to "auto", the server first normalizes loudness and then uses voice activity detection (VAD) to choose boundaries. server_vad object can be provided to tweak VAD detection parameters manually. If unset, the audio is transcribed as a single block.

Allowed value: "auto"
​
language
string | null

The language of the input audio. Supplying the input language in ISO-639-1 (e.g. en) format will improve accuracy and latency.

​
temperature
number | null

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.

Response

Successfully transcribed the audio file.

​
text
string
required

The transcribed text.