Audio-Input Implementation Guide - Infercom Documentation

For developers requiring audio support, Infercom provides OpenAI’s Whisper large-v3 model, which enables real-time transcriptions and translations.

Whisper-Large-v3

Model: Whisper-Large-v3
Description: State-of-the-art automatic speech recognition (ASR) and translation model. Developed by OpenAI and trained on 5M+ hours of labeled audio. Excels in multilingual and zero-shot speech tasks across diverse domains.
Model ID: Whisper-Large-v3
Supported languages: Multilingual

Core capabilities

Transcribes and translates extended audio inputs (up to 25 MB).
Demonstrates high accuracy in speech recognition and translation tasks.
Provides OpenAI-compatible endpoints for transcriptions and translations.

Request parameters

Parameter	Type	Description	Default	Endpoints
`model`	String	The ID of the model to use.	Required	`transcriptions`, `translations`
`file`	File	Audio file in FLAC, MP3, MP4, MPEG, MPGA, M4A, Ogg, WAV, or WebM format. File size limit: 25MB.	Required	`transcriptions`, `translations`
`prompt`	String	Prompt to influence transcription style or vocabulary. Example: “Please transcribe carefully, including pauses and hesitations.”	Optional	`transcriptions`, `translations`
`response_format`	String	Output format. Only `json` and `text` are honoured. See Response formats below.	`json`	`transcriptions`, `translations`
`language`	String	The language of the input audio. Using ISO-639-1 format (e.g., `en`) improves accuracy and latency.	Optional	`transcriptions`, `translations`
`stream`	Boolean	Enables streaming responses.	`false`	`transcriptions`, `translations`
`stream_options`	Object	Not supported. The endpoint rejects this parameter with HTTP 400 `unknown_parameter`.	-	Not accepted

Response formats

response_format accepts five values, but only two change the output.

Value	HTTP status	What you get
`json`	200	A JSON object: `{"text": "..."}`
`text`	200	The bare transcript string
`verbose_json`	200	The bare transcript string. Not a verbose object
`srt`	200	The bare transcript string. Not SRT subtitles
`vtt`	200	The bare transcript string. Not WebVTT subtitles

verbose_json, srt and vtt are accepted and return HTTP 200, but the endpoint ignores them and returns plain text. There are no timestamps, segments, or subtitle cues. Use json if you need a structured response.

Usage data

Non-streaming responses return the text field only. There is no usage object, so you cannot read token or duration counts from a transcription or translation response.

stream_options: {"include_usage": true} does not work around this. The endpoint rejects the parameter with HTTP 400.

Example usage

from sambanova import SambaNova
import base64

client = SambaNova(
    base_url="https://api.infercom.ai/v1",
    api_key="your-infercom-api-key",
)

audio_path="audio_path"
with open(audio_path, "rb") as audio_file: 
   bin_audio = audio_file.read()

response = client.audio.transcriptions.create(
    model="Whisper-Large-v3",
    file=(audio_path,bin_audio),
)
print(str(response))

from openai import OpenAI
import base64

client = OpenAI(
    base_url="https://api.infercom.ai/v1",
    api_key="your-infercom-api-key",
)

audio_path="audio_path"
with open(audio_path, "rb") as audio_file: 
   bin_audio = audio_file.read()

response = client.audio.transcriptions.create(
    model="Whisper-Large-v3",
    file=(audio_path,bin_audio),
)
print(str(response))

import SambaNova from "sambanova";

const client = new SambaNova({
  baseURL: 'https://api.infercom.ai/v1',
  apiKey: 'your-infercom-api-key'
});

async function run() {
  const audioPath = 'audio_path';
  const binAudio = fs.createReadStream(audioPath);

  const response = await client.audio.transcriptions.create({
    model: 'Whisper-Large-v3',
    file: binAudio,
  });

  console.log('Full Response:');
  console.dir(response, { depth: null });
}

run().catch(console.error);

Get started

Models

Features

Agentic Coding

Build

Resources

Implement Audio‑Input Features - Developer Guide

Whisper-Large-v3

Core capabilities

Request parameters

Response formats

Usage data

Example usage

​Whisper-Large-v3

​Core capabilities

​Request parameters

​Response formats

​Usage data

​Example usage

Whisper-Large-v3

Core capabilities

Request parameters

Response formats

Usage data

Example usage