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Documentation Index

Fetch the complete documentation index at: https://docs.portkey.ai/docs/llms.txt

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

Transcription & Translation Usage

Portkey supports both Transcription and Translation methods for STT models and follows the OpenAI signature where you can send the file (in flac, mp3, mp4, mpeg, mpga, m4a, ogg, wav, or webm formats) as part of the API request. Here’s an example:
import fs from "fs";
import OpenAI from "openai";
import { PORTKEY_GATEWAY_URL, createHeaders } from 'portkey-ai'

const openai = new OpenAI({
  apiKey: "API_KEY", // Replace with your standard API Key or a dummy string
  baseURL: PORTKEY_GATEWAY_URL,
  defaultHeaders: createHeaders({
    apiKey: "PORTKEY_API_KEY",
    provider: "openai"
  })
});

// Transcription

async function transcribe() {
  const transcription = await openai.audio.transcriptions.create({
    file: fs.createReadStream("/path/to/file.mp3"),
    model: "whisper-1",
  });

  console.log(transcription.text);
}
transcribe();

// Translation

async function translate() {
    const translation = await openai.audio.translations.create({
        file: fs.createReadStream("/path/to/file.mp3"),
        model: "whisper-1",
    });
    console.log(translation.text);
}
translate();
On completion, the request will get logged in the logs UI where you can see transcribed or translated text, along with the cost and latency incurred.
Last modified on March 18, 2026