Handtrack

Health v2 · maintenance only

Adoption not part of the score

2930 stars · 258 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded

Handtrack.js is a JavaScript library for prototyping realtime hand detection directly in the browser, framing handtracking as an object detection problem solved with a trained convolutional neural network. It predicts bounding boxes for hands (and hand poses like open, closed, pinch, point) from webcam or image input without requiring users to train their own models.

Use cases

• detect hands in webcam video in the browser
• build gesture-based game controls
• track hand poses like pinch, point, open, closed
• detect face touching to minimize covid spread
• create air guitar or motion-controlled demos
• prototype hand tracking without training a model

When to choose

• you need quick, in-browser hand detection with no model training
• you want a lightweight prototype using webcam input
• you need bounding-box hand tracking plus a few hand pose classes

When to avoid

• you need production-grade accuracy or fine-grained skeletal hand landmarks
• you need server-side or native mobile performance
• you need the full 21-joint hand keypoint tracking other libraries provide

Facets

library · maturity maintenance

machine-learning computer-vision image-processing computer-vision machine-learning web-development artificial-intelligence browser hand-detection handtracking object-detection tensorflow-js webcam realtime bounding-box gesture-recognition javascript web

Member repositories

For agents

markdown · JSON · MCP: product_card(name="victordibia/handtrack.js")