الخلاصة (BLUF): Free client-side Web AI Toolkit (MIT) running locally in your browser: execute modern neural networks on your device leveraging WebGPU and WebAssembly. Fast OCR from images, speech recognition, text summarization, speech synthesis, image classification, and RAG search with zero server uploads and zero token charges.
Web AI Toolkit is a modern, privacy-first open-source JavaScript library (MIT license) designed to execute advanced artificial intelligence tasks directly within the user web browser.
The engine leverages cutting-edge web standards: hardware acceleration via WebGPU and WebNN, multicore processing through WebAssembly SIMD, and native browser AI APIs. All processing runs on your local hardware, and model weights are cached automatically.
The toolkit unifies essential machine learning capabilities under a single developer-friendly interface: optical character recognition (OCR) from images, speech-to-text transcription with timestamps, text summarization, speech synthesis (Text-to-Speech), multi-label image classification, and Retrieval-Augmented Generation (RAG) search across local documents.
You can interactively test each capability directly on this page or copy ready-to-use code snippets into your own frontend applications.
Traditional cloud AI pipelines require uploading private files and personal prompts to third-party servers. Web AI Toolkit keeps all computations strictly client-side, ensuring confidential documents, audio, and images never leave your machine.
The tool is completely free with zero token charges or usage caps, and continues to function offline once model assets are cached.
Yes. All models execute directly inside your browser. Our server does not run inference and zero tokens are deducted from your balance.
No. Images, audio recordings, and text documents are processed strictly inside your browser sandbox on your local machine.
WebGPU delivers maximum hardware acceleration but is not required. When WebGPU is absent, the engine falls back to multi-threaded WebAssembly on standard CPUs.
Install the package using npm install web-ai-toolkit and import the desired functions (ocr, summarize, transcribeAudioFile, textToSpeech, classifyImage, doRAGSearch). Switch to the Code tab for complete examples.