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This toolset addresses the common workflow bottleneck of manual PDF manipulation by offering command-line Python scripts for merging, splitting, and extracting structured data. Built on the pypdf library, these utilities enable efficient batch processing while preserving metadata and supporting flexible configuration for routine document tasks. The open-source availability on GitHub allows developers to integrate these automation capabilities directly into existing data pipelines.

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5 Useful Python Scripts to Automate Boring PDF Tasks

KDnuggetsJune 10, 20266 min read

PDFs are used everywhere, and these five Python scripts help you automate the most common PDF tasks.

PDF files are widely used in many workflows. You might need to merge reports, split large files, extract text or tables, add watermarks, or redact sensitive content. These are all routine tasks, but handling them manually for multiple files can be slow and error-prone. These five Python scripts automate the process. They run from the command line, support batch processing, and are easy to configure. You can find all the scripts on GitHub. # 1. Merging and Splitting PDF Files Combining multiple PDF files into one, or splitting a large PDF into separate files by page range, are among the most common PDF tasks. Both are tedious to do manually, particularly when dealing with many files or…

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