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Sample: Audio Transcription with Foundry Local

This sample demonstrates how to use Foundry Local for speech-to-text (audio transcription) using the Whisper model — entirely on-device, with no cloud services required.

What This Shows

  • Loading the whisper-tiny model via the Foundry Local SDK
  • Transcribing an audio file (.wav, .mp3, etc.) to text
  • Both standard and streaming transcription modes
  • Automatic hardware acceleration (NPU > GPU > CPU)

Prerequisites

Getting Started

Install the Foundry Local SDK:

npm install foundry-local-sdk

Place an audio file (e.g., recording.wav or recording.mp3) in the project directory, then run:

node src/app.js

How It Works

The Foundry Local SDK handles everything:

  1. Model discovery — finds the best whisper-tiny variant for your hardware
  2. Model download — downloads the model if not already cached
  3. Model loading — loads the model into memory with optimized hardware acceleration
  4. Transcription — runs Whisper inference entirely on-device

No need for whisper.cpp, @huggingface/transformers, or any other separate STT tool.