You will get a structured Excel report extracted from your PDF invoices automatically
Project details
You will get a clean, structured Excel report automatically extracted from your PDF invoices using Python.
Unlike generic tools, this is a code-based solution — data is located dynamically, not by guessing fixed positions. It works on real-world PDFs you did not generate yourself.
With 8+ years of Python development experience and 900+ students trained on Udemy in PDF automation, I bring production-level precision to every project.
Ideal for businesses that receive invoices from suppliers and need the data in Excel for accounting, reporting, or ERP integration — without manual copy-paste.
Unlike generic tools, this is a code-based solution — data is located dynamically, not by guessing fixed positions. It works on real-world PDFs you did not generate yourself.
With 8+ years of Python development experience and 900+ students trained on Udemy in PDF automation, I bring production-level precision to every project.
Ideal for businesses that receive invoices from suppliers and need the data in Excel for accounting, reporting, or ERP integration — without manual copy-paste.
Data Tool
PythonWhat's included
| Service Tiers |
Starter
$25
|
Standard
$75
|
Advanced
$200
|
|---|---|---|---|
| Delivery Time | 2 days | 4 days | 7 days |
Number of Revisions | 1 | 2 | 0 |
Number of Pages Mined/Scraped | 1 | 10 | 50 |
Number of Sources Mined/Scraped | 1 | 10 | 50 |
Optional add-ons
You can add these on the next page.
Additional Revision
+$10
Additional Page Mined/Scraped
+$3
Additional Source Mined/Scraped
+$5Frequently asked questions
About Hugo
Python Automation | PDF Expert (ReportLab, PyMuPDF) | Data Extraction
Alcochete, Portugal - 8:00 am local time
My work focuses on tasks such as:
• Advanced Extraction: Parsing text, tables, and metadata from searchable or scanned PDFs using PyMuPDF (fitz), pdfplumber, and Camelot.
• Dynamic PDF Generation: Creating custom invoices, certificates, and reports using ReportLab.
• OCR & Image Processing: Converting non-searchable scans into structured data (JSON/CSV) with Tesseract or EasyOCR.
• High-Volume Automation: Processing thousands of files with robust error handling and logging to ensure zero data loss.
I have experience working with document processing, structured data extraction, and automation pipelines that save time and reduce human error.
Typical solutions I build include:
• PDF parsing and structured data extraction
• File renaming and organization workflows
• Report generation
• Custom automation scripts
Tech Stack: Python (Pandas, Regex), PyMuPDF, ReportLab, PDFPlumber, EasyOCR, Tesseract-OCR.
If you have a repetitive manual workflow, I can build a reliable, standalone Python solution that saves you hours of work every week.
Steps for completing your project
After purchasing the project, send requirements so Hugo can start the project.
Delivery time starts when Hugo receives requirements from you.
Hugo works on your project following the steps below.
Revisions may occur after the delivery date.
PDF Analysis
I analyse the structure of your PDF to identify all data regions — headers, tables, and totals.
Script Development
I build or adapt the extraction script to match your specific PDF layout.