datalab-to/chandra Alternatives

choose for a TypeScript-native OCR pipeline with vision-model speed; not a Python model.

OCR & Document Extraction using vision models

choose as an alternative Apache-2.0 OCR model with its own performance tradeoffs.

GLM-OCR: Accurate × Fast × Comprehensive

choose for up to 100+ languages and a mature Apache-2.0 OCR ecosystem.

Turn any PDF or image document into structured data for your AI. A powerful, lightweight OCR toolkit that bridges the gap between images/PDFs and LLMs. Supports 100+ languages.

choose for a Rust, RAG-focused document pipeline with built-in chunking (AGPL).

Vision infrastructure to turn complex documents into RAG/LLM-ready data

choose for a JVM-based PDF parser producing AI-ready data.

PDF Parser for AI-ready data. Automate PDF accessibility. Open-source.

choose for a composable Tesseract+LLM pipeline with explicit post-processing control.

Enhances Tesseract OCR output using LLMs (local or API) for error correction, smart chunking, and markdown formatting of scanned PDFs

choose for converting scanned books with a simpler, MIT-licensed tool.

PDF craft can convert PDF files into various other formats. This project will focus on processing PDF files of scanned books.

choose only for table extraction from scanned PDFs, not full layout.

A set of tools for extracting tables from PDF files helping to do data mining on (OCR-processed) scanned documents.

choose for lightweight text-based PDF parsing without OCR/vision.

A fast, helpful, and open-source document parser

choose for minimal Go OCR via Tesseract when layout analysis is unnecessary.

Go package for OCR (Optical Character Recognition), by using Tesseract C++ library

choose for ultra-lightweight Chinese OCR on edge devices with tiny models.

超轻量级中文ocr，支持竖排文字识别, 支持ncnn、mnn、tnn推理 ( dbnet(1.8M) + crnn(2.5M) + anglenet(378KB)) 总模型仅4.7M

choose for client-side OCR in browsers with no backend/Python.

Pure Javascript OCR for more than 100 Languages 📖🎉🖥

choose if you are a Paperless-ngx user wanting AI-assisted document digitalization.

Use LLMs and LLM Vision (OCR) to handle paperless-ngx - Document Digitalization powered by AI

archived Android OCR app, not embeddable in a modern codebase.

Experimental optical character recognition app

desktop screenshot/OCR/translation app for interactive use.

🚀 Screenshots, word marking, OCR, AI, translation software || 截图、划词、文字识别、AI、翻译软件

self-hosted Chinese OCR web service with API for simple deployments.

开源易用的中文离线OCR，识别率媲美大厂，并且提供了易用的web页面及web的接口，方便人类日常工作使用或者其他程序来调用~

cross-platform OCR desktop tool for manual text capture.

树洞 OCR 文字识别（一款跨平台的 OCR 小工具）

standalone extraction API wrapping multiple OCR engines; not a model import.

Document (PDF, Word, PPTX ...) extraction and parse API using state of the art modern OCRs + Ollama supported models. Anonymize documents. Remove PII. Convert any document or picture to structured JSON or Markdown

standalone Rust server/CLI for multi-backend OCR models.

Rust multi‑backend OCR/VLM engine (DeepSeek‑OCR-1/2, PaddleOCR‑VL, DotsOCR) with DSQ quantization and an OpenAI‑compatible server & CLI – run locally without Python.