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This Python script converts each page of a PDF document into separate image files. It utilizes the PyMuPDF library (fitz) to handle PDF operations and the Python Imaging Library (PIL) for image processing.
It's designed for transmuting PDFs into HTML. Harness the power of OCR, image processing, and web technologies to unlock the secrets within your PDF documents.
Python code to read, retrieve, analyze, and plot district-level findings from official (pdf) publications of the 5th National Family Health Survey of India
This application simplifies PDF keyword searches, allowing users to easily find specific terms in files or folders. Results are displayed clearly, and the history feature enables quick review and filtering of past searches. Users can click on document links in the history to open them directly in the default PDF viewer.
This application facilitates the comparison of two PDF files. Differences are presented in a table, color-coded as red (deletions), green (additions), and orange (moved text). Users can save the results in Excel format. It is designed to check whether annotations have been taken into account during the comparison process.