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Tags: OCR
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1–13 of 13 · Most stars

Transforms complex documents like PDFs and Office docs into LLM-ready markdown/JSON for your Agentic workflows.

An open-source document parsing model with SOTA accuracy and speed, using an RSI loop during post-training.

Translated[Captcha Recognition - Training] This project is based on CNN/ResNet/DenseNet+GRU/LSTM+CTC/CrossEntropy to realize verification code identification. This project is only for training the model.

How to Copy Text from Images ? Answer is TextSnatcher !. Perform OCR operations in seconds on Linux Desktop.

WeVisDoc is an end-to-end document parser for page images. Fine-tuned from Qwen3-VL-2B-Instruct and Qwen3-VL-4B-Instruct, it turns a page into structured Markdown, with LaTeX formulas and HTML tables.

Meta Self-learning for Multi-Source Domain Adaptation: A Benchmark

  • text-recognition
  • ocr-recognition
  • domain-adaptation
  • multi-source-domain-adaptation

On-device Vision Model - a fully offline, free vision pipeline that gives text-only models (e.g. DeepSeek) image understanding and multilingual OCR through an OpenAI-compatible local API. Only tokens are needed: no API key, no subscription, no cloud cost. Recommended for native speakers of Chinese, English, Japanese and Korean.