Core Features & Usage

import { BrowserAI } from '@browserai/browserai';   const browserAI = new BrowserAI();   async function generateText() {  // Load a text generation model  await browserAI.loadModel('llama-3.2-1b-instruct');    // Generate a response  const response = await browserAI.generateText('What is machine learning?');  console.log(response.choices[0].message.content); // "Machine learning is a branch of AI..." }

import { BrowserAI } from '@browserai/browserai';   const browserAI = new BrowserAI();   async function transcribeSpeech() {  // Load Whisper model  await browserAI.loadModel('whisper-tiny-en');    // Record and transcribe  await browserAI.startRecording();  const audioBlob = await browserAI.stopRecording();  const transcription = await browserAI.transcribeAudio(audioBlob);  console.log(transcription.text); // "Hello, this is a test..." }

import { BrowserAI } from '@browserai/browserai';   const browserAI = new BrowserAI();   async function synthesizeSpeech() {  // Load TTS model  await browserAI.loadModel('kokoro-tts');    // Generate and play audio  const audioBuffer = await browserAI.textToSpeech('Hello, how are you today?');    // Play the audio  const audioContext = new AudioContext();  const source = audioContext.createBufferSource();  const audioBuffer = await audioContext.decodeAudioData(audioBuffer);  source.buffer = audioBuffer;  source.connect(audioContext.destination);  source.start();  console.log('Audio playback started'); }

import { BrowserAI } from '@browserai/browserai';   const browserAI = new BrowserAI();   async function extractFeatures() {  // Load feature extraction model  await browserAI.loadModel('snowflake-arctic-embed-s-b4'); //Coming Soon    // Get text embeddings  const embeddings = await browserAI.extractFeatures('Hello, world!');  console.log(embeddings); // [0.123, -0.456, ...] }

import { BrowserAI } from '@browserai/browserai';   const browserAI = new BrowserAI();   async function translate() {  // Load translation model  await browserAI.loadModel('translation-model'); //Coming Soon    // Translate text  const translation = await browserAI.translate('Hello, world!', {  sourceLang: 'en',  targetLang: 'fr'  });  console.log(translation); // Bonjour, monde! }

import { BrowserAI } from '@browserai/browserai';   const browserAI = new BrowserAI();   async function classifyText() {  // Load classification model  await browserAI.loadModel('classification-model'); //Coming Soon    // Classify text  const sentiment = await browserAI.classify('This product is amazing!');  console.log(sentiment); // { label: 'POSITIVE', score: 0.98 } }

import { BrowserAI } from '@browserai/browserai';   const browserAI = new BrowserAI();   async function answerQuestion() {  // Load QA model  await browserAI.loadModel('QA-model'); //Coming Soon    const context = "BrowserAI was created in 2025. It runs AI models directly in web browsers.";  const question = "When was BrowserAI created?";  const answer = await browserAI.answerQuestion(question, context);  console.log(answer); // "2025" }

const browserAI = new BrowserAI();   await browserAI.loadModel('smollm2-135m-instruct', {  onProgress: (progress) => {  console.log(`Loading: ${progress.progress}%`);  },  onComplete: () => {  console.log('Model loaded successfully!');  },  onError: (error) => {  console.error('Error loading model:', error);  } });