junaid33 / junaid33/opensource.builders
Add light-ocr as a standalone open-source OCR tool
- Dominant language
- TypeScript
- Stars
- 1.3k
- Forks
- 193
- PR merge metrics
- No merged PRs in 30d
Description
Following [CONTRIBUTING_TO_OSB.md](https://github.com/junaid33/opensource.builders/blob/master/CONTRIBUTING_TO_OSB.md), this is a submission for a standalone open-source development tool.
Add open source tool: light-ocr
- Repository: https://github.com/arcships/light-ocr
- Description: Fast, offline OCR for Node.js and C++, built on PP-OCRv6 and ONNX Runtime. It returns recognized text, confidence scores, and bounding coordinates without requiring Python at runtime.
- Category: Development Tools
- Features: Fully offline OCR, Node.js API, command-line interface, native C++ library, macOS CoreML acceleration, Windows WebGPU acceleration, Linux CPU support, confidence scores, bounding coordinates
## Additional information
- License: Apache-2.0
- Primary language: C++
- npm package: https://www.npmjs.com/package/@arcships/light-ocr
- Latest release: https://github.com/arcships/light-ocr/releases/tag/v0.3.4
- Platforms: macOS, Windows, and Linux
- Current GitHub snapshot: 386 stars and 36 forks (2026-07-22)
Contributor guide
No contributing guide indexed for this repository
Research direction
Start with CONTRIBUTING_TO_OSB.md to find the catalog location and submission requirements. Add light-ocr under Development Tools with the repository, description, license, language, release, and platform details provided; done means the entry follows the repository’s format and its links are valid.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- cpp, node.js
- Domain
- content
- Issue type
- Feature
- Difficulty
- 2/5
- Estimated time
- 1-3 hours
- Activity status
- Quiet
- Clarity
- Mostly clear
- Newbie friendliness
- 76/100