Lightweight PDF parser with layout, tables, formulas and bounding boxes
Papero is a new lightweight PDF parsing tool that extracts structured data like tables, formulas, and layout information without relying on machine learning models. It is designed to be fast and privacy-focused by running locally on a CPU.
Why it matters
Efficient, local PDF parsing is critical for improving the quality of data fed into RAG (Retrieval-Augmented Generation) systems and LLMs.
PDF → Markdown · JSON · Word · Excel — with reading order, tables, formulas, figures and the position of every block. CPU only. No ML models. Runs in your browser, in Python, or as an API.
▶ Try it in your browser · Quick start · Benchmarks
30 seconds in the browser app: load a PDF, inspect any block, check tables and formulas, export to Word. Your PDF never leaves your machine. ( MP4 )
Getting the text out of a PDF is easy. Getting its structure back — which column comes first, which lines are a table, where the formula is — is what makes the output usable for RAG, search and LLMs. papero does that with plain geometry, so it stays fast on a laptop CPU.
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