Ross ROSS = Recommend OSS · open-source software intelligence for agents

antimatter15/ocrad.js

OCR in Javascript via Emscripten observed · 2026-08-28

github.com/antimatter15/ocrad.js · homepage · JavaScript · GPL-3.0 (copyleft) observed · 2026-08-28

Health v2 · maintenance only

32/100

  • Activity 0
  • Release rhythm 35
  • Longevity 100

Flags: no_releases

How is this computed?

round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10) — computed 2026-09-03. Adoption (stars, forks) is never an input.

  • gap_med: n/a
  • age_days: 4629
  • days_rel: n/a
  • days_push: 2191
  • n_releases_24m: 0

Full methodology

Adoption not part of the score

3517 stars · 379 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-29, confidence not recorded

Ocrad.js is a pure-JavaScript port of the Ocrad OCR engine, compiled to JavaScript via Emscripten, that converts scanned images of text back into text entirely in the browser. It exposes a simple global OCRAD() function accepting canvas, Context2D, or ImageData inputs with no server or large training-data dependencies.

Use cases

  • extract text from images in the browser
  • add handwriting input to a tablet app offline
  • build a browser extension to copy text from images
  • run OCR client-side without a server
  • recognize text in an offline note-taking app

When to choose

  • you need lightweight (~1MB) client-side OCR with no server round-trip
  • you want offline-capable text recognition in a web app or extension
  • you need low-latency OCR on touchscreen devices

When to avoid

  • you need high accuracy on real-world scanned documents - Tesseract is far more accurate
  • you need modern maintained OCR - the project has seen little activity since 2020
  • you need handwriting or multi-language recognition at production quality

Facets

library · maturity maintenance

ocr image-processing nlp computer-vision image-processing web-development frontend browser wasm cross-platform emscripten client-side-ocr text-recognition offline-capable gpl-3.0 javascript

2 sources

Member repositories

RepositoryRoleHealth v2
antimatter15/ocrad.jsmain32

For agents

markdown · JSON · MCP: product_card(name="antimatter15/ocrad.js")

Data as of 2026-08-30T08:39:29.467469+00:00 · Report a problem