OCR & Document Processing AI Tools
Open-source optical character recognition engines and document parsing tools for extracting text and structure from images and PDFs.
Open-source optical character recognition engines and document parsing tools for extracting text and structure from images and PDFs.
Most widely-used open-source OCR engine supporting 100+ languages.
Document parsing library by IBM for converting PDFs and documents to structured data.
Ready-to-use OCR library supporting 80+ languages with simple Python API.
Multilingual OCR toolkit by PaddlePaddle with state-of-the-art accuracy.
Python library for extracting text, tables, and metadata from PDFs.
Multilingual document OCR toolkit with line detection and layout analysis.
Vision-language model based OCR toolkit by AI2 for document understanding.
Tool for extracting tables from PDF files into CSV or DataFrame format.
Python library for extracting tables from PDF files.
Turn-key OCR system for historical and non-Latin script documents.
Open-source library for preprocessing unstructured documents for LLM pipelines.
Simple Python library to convert PDF pages to images using Poppler.
Converts PDFs to clean Markdown with high accuracy for text, tables, and equations.
Adds searchable text layer to scanned PDFs using Tesseract OCR.
Neural OCR model by Meta for academic documents and mathematical expressions.
General OCR Theory model with unified end-to-end architecture for various OCR tasks.
Deep learning based OCR library in Python and TensorFlow/PyTorch.
End-to-end OCR model using vision-language architecture.
OCR tool specialized in recognizing mathematical equations and LaTeX.
One-stop tool for high-quality PDF extraction to Markdown or JSON.
Python bindings for MuPDF library for fast PDF text and image extraction.