Extract All PDF Text & Numbers

I have a set of PDF files and I need every piece of readable information pulled out—words, phrases, standalone numbers, line items—nothing left behind. The goal is a clean digital dataset that mirrors exactly what appears on each page so I can run further analysis without manually copying anything. Scope of work • Parse each PDF and capture all textual and numeric content, page by page. • Preserve natural reading order and any obvious section breaks so the data stays meaningful once it’s in a spreadsheet or database. • Flag characters that fail to convert (rare symbols, corrupted glyphs) so I can quickly spot-check them. • Deliver the final extraction in either .xlsx or .csv format; a JSON export alongside it would be a bonus. Tools are up to you—Python with PyPDF2, pdfplumber, or an OCR layer such as Tesseract if needed—so long as the output is complete and accurate. If you build a repeatable script, please include clear setup notes so I can rerun it on future documents. Acceptance criteria • 100 % of legible text and numbers present in the output. • Page references or another simple way to trace each entry back to its source page. • No arbitrary truncation, skipped pages, or merged lines that reduce readability. Send a short note describing your extraction approach and any similar projects you’ve handled, and we can get started right away.