Contact person: Business Client

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Location: Bridgetown, Barbados

Budget: Recommended by industry experts

Time to start: As soon as possible

Project description:
"I need a clean, AI-assisted Python script that can open a range of vendor-supplied PDF invoices and pull out one thing perfectly: every line item together with the overall total. The primary goal is straightforward invoice PDF parsing, but I want the process to be smart enough to recognise different layouts and recover gracefully if a page relies on scanned text (so feel free to blend pdfplumber, PyPDF2, Tesseract OCR, Layout-LM, or whatever stack you trust).

When the script finishes, it must save two files side-by-side: a structured JSON document and an Excel workbook (.xlsx). No other formats are required.

Deliverables
• Modular Python-3 code with clear functions for file ingest, parsing logic, and export
• [login to view URL] with pinned versions
• README that shows set-up, a one-line command to run the parser, and a note on how to extend field rules
• Sample JSON and Excel outputs generated from my test invoices

Acceptance criteria
• Every total amount and each individual line-item from the supplied PDFs is captured exactly (numeric and text values)
• Works on at least three different invoice layouts without manual tweaks


If this sounds clear, let’s get it running." (client-provided description)