Transcriptions

import fs from "node:fs";
import OpenAI from "openai";

const client = new OpenAI({
  apiKey: process.env.HEBO_API_KEY,
  baseURL: "https://gateway.hebo.ai/v1",
});

const { text } = await client.audio.transcriptions.create({
  model: "openai/gpt-transcribe",
  file: fs.createReadStream("meeting.mp3"),
});

console.log(text);

curl https://gateway.hebo.ai/v1/audio/transcriptions \
  -H "Authorization: Bearer $HEBO_API_KEY" \
  -F model="openai/gpt-transcribe" \
  -F file="@meeting.mp3"

​

Base64 Input

curl https://gateway.hebo.ai/v1/audio/transcriptions \
  -H "Authorization: Bearer $HEBO_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "openai/gpt-transcribe",
    "input_audio": { "data": "<base64>", "format": "mp3" }
  }'

​

Options

• language: the language of the audio (for example, en).
• prompt: text that guides the transcript’s style or vocabulary.
• temperature: a value from 0 to 1.
• response_format: json (default) returns text and usage. verbose_json also returns language, duration, and word timestamps when available. Word timestamps appear in words, and segments is empty.
• timestamp_granularities: set to ["word"] to request word timestamps. Requires response_format: "verbose_json". In multipart forms, send this field as timestamp_granularities[].

​

Limits