Passer au contenu principal
POST
/
v1
/
audio
/
transcriptions
Create Transcription
curl --request POST \
  --url https://aihubmix.com/v1/audio/transcriptions \
  --header 'Authorization: Bearer <token>' \
  --header 'Content-Type: multipart/form-data' \
  --form file='@example-file' \
  --form model=gpt-4o-transcribe
{
  "text": "<string>",
  "logprobs": [
    {
      "token": "<string>",
      "logprob": 123,
      "bytes": [
        123
      ]
    }
  ],
  "usage": {
    "input_tokens": 123,
    "output_tokens": 123,
    "total_tokens": 123,
    "input_token_details": {
      "text_tokens": 123,
      "audio_tokens": 123
    }
  }
}

Documentation Index

Fetch the complete documentation index at: https://docs.aihubmix.com/llms.txt

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

Autorisations

​
Authorization
string
header
requis

Gateway-issued API key, formatted as sk-gateway-xxxxxxxx. Used by OpenAI-shaped endpoints (/v1/chat/completions, etc.).

Corps

multipart/form-data
​
file
file
requis

The audio file object (not file name) to transcribe, in one of these formats: flac, mp3, mp4, mpeg, mpga, m4a, ogg, wav, or webm.

​
model
requis

ID of the model to use. The options are gpt-4o-transcribe, gpt-4o-mini-transcribe, gpt-4o-mini-transcribe-2025-12-15, whisper-1 (which is powered by our open source Whisper V2 model), and gpt-4o-transcribe-diarize.

Exemple:

"gpt-4o-transcribe"

​
language
string

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

​
prompt
string

An optional text to guide the model's style or continue a previous audio segment. The prompt should match the audio language. This field is not supported when using gpt-4o-transcribe-diarize.

​
response_format
enum<string>
défaut:json

The format of the output, in one of these options: json, text, srt, verbose_json, vtt, or diarized_json. For gpt-4o-transcribe and gpt-4o-mini-transcribe, the only supported format is json. For gpt-4o-transcribe-diarize, the supported formats are json, text, and diarized_json, with diarized_json required to receive speaker annotations.

Options disponibles:
json,
text,
srt,
verbose_json,
vtt,
diarized_json
​
temperature
number
défaut:0

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.

​
include
enum<string>[]

Additional information to include in the transcription response. logprobs will return the log probabilities of the tokens in the response to understand the model's confidence in the transcription. logprobs only works with response_format set to json and only with the models gpt-4o-transcribe, gpt-4o-mini-transcribe, and gpt-4o-mini-transcribe-2025-12-15. This field is not supported when using gpt-4o-transcribe-diarize.

Options disponibles:
logprobs
​
timestamp_granularities
enum<string>[]

The timestamp granularities to populate for this transcription. response_format must be set 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. This option is not available for gpt-4o-transcribe-diarize.

Options disponibles:
word,
segment
​
stream
boolean | null
défaut:false

If set to true, the model response data will be streamed to the client as it is generated using server-sent events. See the Streaming section of the Speech-to-Text guide for more information.

Note: Streaming is not supported for the whisper-1 model and will be ignored.

​
chunking_strategy
défaut:auto

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. Required when using gpt-4o-transcribe-diarize for inputs longer than 30 seconds.

Options disponibles:
auto
​
known_speaker_names
string[]

Optional list of speaker names that correspond to the audio samples provided in known_speaker_references[]. Each entry should be a short identifier (for example customer or agent). Up to 4 speakers are supported.

Maximum array length: 4
​
known_speaker_references
string[]

Optional list of audio samples (as data URLs) that contain known speaker references matching known_speaker_names[]. Each sample must be between 2 and 10 seconds, and can use any of the same input audio formats supported by file.

Maximum array length: 4

Réponse

OK

Represents a transcription response returned by model, based on the provided input.

​
text
string
requis

The transcribed text.

​
logprobs
object[]

The log probabilities of the tokens in the transcription. Only returned with the models gpt-4o-transcribe and gpt-4o-mini-transcribe if logprobs is added to the include array.

​
usage
Token Usage · object

Token usage statistics for the request.