ExtractFoxExtractFox team
We build ExtractFox and write everything on this site: engineering notes from building the extractor, and guides we check against the live product.
Every example output on a tool page is a real run of the extractor, and the date at the top of a page is the last time its content changed. How we test · About ExtractFox
Posts (5)
All posts →Tutorial6 min read
How to extract data from a chart or graph (image or PDF)
Reverse-engineer bar, line, pie, and scatter charts back into numbers using WebPlotDigitizer, Python, and AI extraction. Works on screenshots, report PDFs, and dashboard photos.
Tutorial10 min read
How to extract a table from a PDF with Python
Three Python libraries for PDF table extraction — pdfplumber, Tabula-py, and Camelot — with code, when to use each, and how to handle scanned PDFs where text-based extraction fails.
Workflow5 min read
How to bulk-clean LinkedIn 'Location' fields into city/country pairs
Recruiters and sales ops teams inherit LinkedIn exports full of "Greater London," "Bay Area," and "remote." A practical workflow to turn those into a clean city/country/region columns — at any scale.
Engineering8 min read
How to extract text from an image using Python
Tesseract via pytesseract, EasyOCR, PaddleOCR, and the API-based path — what each one is best at, what they break on, and the few lines of code to get started.
Engineering8 min read
How to extract data from a PDF in C#
A working engineer's tour of the PDF extraction libraries in the .NET ecosystem — iText, PdfPig, Azure Document Intelligence, and the API-first alternative when you don't want to ship a parser at all.