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Ever spent a whole evening copy-pasting invoice numbers into Excel by hand?
That was the actual brief on this one — a client was manually retyping vendor names, dates, and line items from PDF invoices into a spreadsheet every single week. Hours lost, and one typo away from a wrong total going out the door.
Built a Python script that reads the PDFs directly and skips the typing entirely.
Pulls vendor, invoice number, date, and every line item straight from the PDF's actual layout — real column positions, not just a text dump, so numbers land where they belong.
Handles multi-line invoices automatically, no manual splitting.
Outputs a clean Excel file — one sheet with invoice summaries, one with every line item, formatted and ready to hand to a bookkeeper.
Tested on 9 invoices, 26 line items, zero mismatches. Full script + sample invoices in the images.
Stuck retyping the same invoice fields every week? Send me one of your PDFs and I'll show you exactly what the parsed output looks like — free, no strings.
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Excel & Financial Data Support 📊
I help businesses with Excel data cleaning, formulas, reports, dashboards, and financial spreadsheets.
Keep missing transfers separate from amount mismatches.
In this synthetic ecommerce workbook, 25 source rows contain 24 unique orders. The checks isolate:
one exact duplicate;
two missing reported transfers;
a $12.50 shortfall across the matched orders.
Separating those exceptions makes it easier to see what needs checking. The original rows stay available, formulas are editable, and unresolved values remain flagged.
This is a demonstration with invented transactions, not a client case study:
https://docs.google.com/spreadsheets/d/1tLA0h1dCYXhK-Xf-uCh3gN9EMYgdHu4E/edit
I offer a $75 CSV/Excel cleanup for one table of up to 1,000 rows: agreed duplicate/date/number checks, a cleaned copy, and an exceptions/change log. One correction round is included, with delivery within two business days after we agree the inputs, scope and payment terms.
Message me here on Contra with the file type, row count and what looks wrong. Please keep personal/customer data out of public comments.