I will automate PDF invoice extraction to excel with python


About this gig
Copying invoice numbers, dates and totals into Excel by hand? I build a reusable Python script to extract agreed header fields from text-based PDF invoices into Excel or CSV. You can run it again on invoices matching the agreed layouts.
EXAMPLE: invoice number, date, supplier, subtotal, tax and total become structured columns. Missing fields are flagged for review.
BASIC: 1 consistent layout, up to 8 header fields, tests on 20 invoice pages.
STANDARD: up to 3 layouts, 12 header fields and 50 invoice pages.
PREMIUM: up to 5 layouts, 15 header fields, a review CSV and 100 invoice pages.
YOU RECEIVE: Python source code, installation instructions, sample export and revisions within scope. The page limits describe testing, not a subscription.
BEFORE ORDERING: send anonymised PDF samples and your desired Excel/CSV columns. I verify text extraction and confirm layouts first.
Scans/OCR, handwritten files, unagreed layouts, complex line-item tables and accounting integrations need a separate quote. Hosting and paid APIs are excluded.
Get to know Rosario T.
Full Stack and AI Developer, Python, React, APIs
- FromItaly
- Member sinceDec 2020
- Avg. response time1 hour
- Last delivery1 year
Languages
Italian, English
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FAQ
Do you support scanned PDFs?
These packages cover text-based PDFs. OCR, images and handwritten documents need a sample review and separate quote.
Are line items included?
Packages cover agreed header fields. Complex line-item tables and variable layouts require a separate quote.
Do I receive a reusable script?
Yes. Source code, installation instructions and a sample export are included. Paid APIs and hosting are excluded.

