In-Browser ML Demos

Machine-learning apps that run entirely in your browser — no server, no API keys.

Sentiment Analysis

Classifies text as positive or negative entirely in your browser.

Zero-Shot Classification

Classify any text into custom labels with no training needed.

Named Entity Recognition

Identifies people, places, organisations and more in raw text.

Question Answering

Extractive QA that finds the answer inside a context passage.

Summarization

Condenses long text into a short summary.

Translation

Translates text between English and 13 languages.

Fill Mask

Predicts the missing word in a sentence.

Image Classification

Classifies an image into 1000 object categories.

Object Detection

Detects and localizes objects in an image.

Image Segmentation

Segments every object and region in an image.

Depth Estimation

Per-pixel depth from a single image.

Zero-Shot Image Classification

Matches an image to free-text labels, no training needed.

Zero-Shot Object Detection

Detects objects by free-text description, no fixed label set.

Image Captioning

Generates a natural-language description of an image.

Document QA

Answers questions about a document image (receipts, forms).

Speech to Text

Transcribes speech fully in your browser.

Audio Classification

Classifies sounds, music, and environments.

Text to Speech

Synthesizes natural-sounding speech from text.

Semantic Search

Embedding-based search over text, ranked by semantic similarity.

RAG Demo

Retrieval-augmented generation pipeline running client-side.

Browser LLM Chat

A small chat LLM running locally in the browser.