Qhocr
qhocr is an open source optical character recognition (OCR) engine that converts images of text documents into editable and searchable PDF files. It works with over 100 languages and supports features like layout analysis and font recognition.
optical-character-recognition
image-to-text
document-digitization
qhocr: Open Source OCR Engine for Image Text Recognitions
qhocr is an open source optical character recognition (OCR) engine that converts images of text documents into editable and searchable PDF files. It works with over 100 languages and supports features like layout analysis and font recognition.
What is Qhocr?
qhocr is an open source optical character recognition (OCR) engine developed by Quinn Curtis. It is designed to convert images of text documents, such as scanned papers, PDF files, and photos, into editable and searchable PDF documents.
Some key features of qhocr include:
- Supports over 100 languages for OCR including English, Chinese, Arabic, Russian, and more
- Performs layout analysis to detect columns, paragraphs, headings, and more
- Recognizes a variety of fonts and typefaces
- Outputs searchable PDF files
- Command line interface for batch processing
- Developed in C++ for performance
qhocr utilizes neural networks and deep learning for its OCR functionality. It can handle documents with challenging layouts and fonts fairly well. The software runs on Linux, macOS, and Windows.
While not as full-featured as some commercial OCR solutions, qhocr is a leading free and open source option perfect for personal or small business use. It can help digitize paper documents and make them more usable within a digital workflow.
Qhocr Features
Features
- Supports over 100 languages
- Performs optical character recognition on images
- Converts images into editable and searchable PDF files
- Performs layout analysis
- Recognizes fonts
Pricing
- Open Source
Pros
Open source
Supports many languages
Creates searchable PDFs
Preserves original layout
Font recognition
Cons
Limited documentation
Slower than some commercial OCR tools
No built-in image processing
Lacks some advanced OCR features
Official Links
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