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How We Built a PDF Compression Tool with Python and Flask

  • RevisePDF has developed a PDF compression tool using Python and Flask that effectively reduces file sizes while maintaining quality.
  • Technical Stack: Python/Flask for web app, PyMuPDF for PDF analysis, Ghostscript for compression, Supabase for authentication.
  • Compression Pipeline includes file upload and validation, PDF analysis, and compression processing with focus on text quality and image handling.
  • Results show an average compression rate of 65-75% reduction in file size. Users can try the tool in beta phase at RevisePDF.com.

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