Speech-to-Text

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:

OpenAI NodeJSOpenAI PythonREST

import fs from "fs";
import OpenAI from "openai";
import { PORTKEY_GATEWAY_URL, createHeaders } from 'portkey-ai'

const openai = new OpenAI({
  apiKey: "PORTKEY_API_KEY",
  baseURL: PORTKEY_GATEWAY_URL
});

// Transcription

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

import fs from "fs";
import OpenAI from "openai";
import { PORTKEY_GATEWAY_URL, createHeaders } from 'portkey-ai'

const openai = new OpenAI({
  apiKey: "PORTKEY_API_KEY",
  baseURL: PORTKEY_GATEWAY_URL
});

// Transcription

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

from openai import OpenAI
from portkey_ai import PORTKEY_GATEWAY_URL, createHeaders

client = OpenAI(
    api_key="PORTKEY_API_KEY",
    base_url=PORTKEY_GATEWAY_URL
)

audio_file= open("/path/to/file.mp3", "rb")

# Transcription

transcription = client.audio.transcriptions.create(
  model="@openai/whisper-1",
  file=audio_file
)
print(transcription.text)

# Translation

translation = client.audio.translations.create(
  model="@openai/whisper-1",
  file=audio_file
)
print(translation.text)

from pathlib import Path
from portkey_ai import Portkey

# Initialize the Portkey client
portkey = Portkey(
    api_key="PORTKEY_API_KEY",  # Replace with your Portkey API key
    provider="@PROVIDER"   
)
audio_file= open("/path/to/file.mp3", "rb")

# Transcription
transcription = portkey.audio.transcriptions.create(
  model="@openai/whisper-1",
  file=audio_file
)

print(transcription.text)
# Translation
translation = portkey.audio.translations.create(
  model="@openai/whisper-1",
  file=audio_file
)
print(translation.text)

For Transcriptions:

curl "https://api.portkey.ai/v1/audio/transcriptions" \
  -H "x-portkey-api-key: $PORTKEY_API_KEY" \
  -H 'Content-Type: multipart/form-data' \
  --form file=@/path/to/file/audio.mp3 \
  --form model=@openai/whisper-1

For Translations:

curl "https://api.portkey.ai/v1/audio/translations" \
  -H "x-portkey-api-key: $PORTKEY_API_KEY" \
  -H 'Content-Type: multipart/form-data' \
  --form file=@/path/to/file/audio.mp3 \
  --form model=@openai/whisper-1

On completion, the request will get logged in the logs UI where you can see trasncribed or translated text, along with the cost and latency incurred.

Supported Providers and Models

The following providers are supported for speech-to-text with more providers getting added soon. Please raise a request or a PR to add model or provider to the AI gateway.

Provider	Models	Functions
OpenAI	whisper-1	Transcription Translation

Introduction

Product

Support

Transcription & Translation Usage

Supported Providers and Models

Introduction

Product

Support

​Transcription & Translation Usage

​Supported Providers and Models

Transcription & Translation Usage

Supported Providers and Models