Extract All PDF Text & Numbers

via Freelancer ·

Budget / SalaryHourly project
TypeFreelance project
LocationRemote
Posted2 hours ago
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.
python data processing web scraping software architecture ocr data extraction data analysis data management
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