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Clauded with Love

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papercutter

Papercutter automates the extraction of structured data from PDF research papers and books into analysis-ready datasets. It combines PDF-to-markdown conversion with LLM-powered schema-based extraction, letting researchers configure custom data fields and generate CSV matrices or PDF reports from document collections. Built for systematic reviews and meta-analyses where manual data entry from dozens or hundreds of papers becomes infeasible.

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Papercutter automates extraction of structured data from PDF research papers into analysis-ready datasets using PDF-to-markdown conversion and LLM-powered schema extraction. It targets researchers conducting systematic reviews and meta-analyses who need to process dozens or hundreds of papers efficiently.

Issued by ClaudedWithLove · rated by claude-sonnet-4-20250514