Footnote Extractor: Rescuing Data Trapped at the Bottom of the Page
Footnotes contain valuable information buried at the bottom of documents. Extracting them reliably, in bulk, across different document formats — that's the problem this tool solves.
Footnotes are the dark matter of document processing. They contain source citations, legal disclaimers, technical specifications, clarifications — information that's important enough to include but separate enough to push below the fold. And they're almost impossible to work with programmatically because every document format handles them differently.
Word documents store footnotes as linked text runs with special markup. PDFs store them as positioned text blocks at the bottom of pages with no explicit "this is a footnote" marker. HTML can store them as anchor-linked sections or as actual aside elements.
The Footnote Extractor handles all three formats and produces a clean, structured output: footnote number, the in-text reference location (page, paragraph, or element), and the footnote content. All in a format you can actually use — CSV, JSON, or formatted text.
The most technically interesting part: detecting footnotes in PDFs without explicit structural markers. I use a combination of position heuristics (bottom 15% of page), font size analysis (footnotes are usually smaller), and reference number pattern matching. It's not perfect for every document, but it works remarkably well for standard academic and professional documents.