I will automate PDF data extraction to excel using python
Full Stack Developer ,Python Automation Specialist for Logistics and SaaS
About this Gig
Are you wasting hours every week manually copying text, tables, and numeric data from PDFs into Excel spreadsheets? Lets automate your entire workflow completely using custom Python code.
What I Can Do For You:
- Extract invoice numbers, dates, line items, BOL numbers, and "Ship To" addresses from single or multi-page documents.
- Clean up messy text strings, strip unwanted characters, and fix formatting issues automatically.
- Batch process entire folders containing hundreds of incoming files into a single master spreadsheet.
- Build automated reconciliation scripts to compare vendor report data directly against Sage, SAP, or internal inventory records to catch discrepancies.
- Generate clean, multi-sheet Excel reports formatted to your exact business specifications.
What You Will Receive:
- standalone .exe tool for one-click execution without installing code.
Technology:
Google Sheets
•
Python
FAQ
Do I need to know Python to use your script?
No! I provide clear, step-by-step instructions on how to run the script. If preferred, I can also package the script into a simple .exe file that runs with a double-click on Windows.
Can your script handle scanned PDFs or images?
This gig covers standard text-based PDFs. If your PDFs are scanned image documents, please contact me first so I can assess whether OCR (Optical Character Recognition) integration is required.
What if my PDF layout changes slightly between documents?
I build smart bounding-box and key-value extraction rules using pdfplumber to locate data dynamically based on labels rather than fixed positions, ensuring consistent output across layout variations
