A collection of 🤗 Transformers.js demos and example applications

The Web AI Toolkit simplifies the integration of AI features, such as OCR, speech-to-text, text summarization and more into your application. It ensures data privacy and offline capability by running all AI workloads locally, leveraging WebNN when available, with a fallback to WebGPU.

Web tool to count LLM tokens (GPT, Claude, Llama, ...)

A web app for local background removal with AI.

Privacy-focused Chrome extension that transcribes audio from browser tabs locally using transformers.js and the TabCapture API. All processing occurs within the browser, ensuring that audio data is never sent to external servers.

Drag and drop your Excel or CSV file with a text column for batch calculating semantic similarity for your queries.

Demo using PhoWhisper models of VinAI built with Transformers.js + Next.js

Translator demo app built with Transformers.js + Tamagui + Next.js

Demo application for in-browser Generative AI: ONNX, Transformers.js, WebGPU, WebNN

Live YouTube processing in client-side JS using self screen capture

This repository contains an experimental demo application that shows how you can add client-side auto-generated captions to Amazon IVS Real-time and Low-latency streams using transformers.js and WebGPU.

Transformers.js sample (STT -> Translation -> TTS)

On Device Chrome Assistant powered by Gemini Nano

A minimalist journal written in React with emotion detection

Qwen2.5 Instruct, large language model, operates within web browsers via 🤗 Transformers.js and ONNX Runtime Web.

Making Speech-To-Text on the web easy, both local and in the cloud

Run SmolLM2 in a web browser with transformers.js

"m-scanner" is a Next.js application that leverages Hugging Face's Transformers.js library to integrate pre-trained AI models for object detection.

Selfie Segmentation with MediaPipe and Hugging Face Transformers.js