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You will get Automated PDF Invoice Extraction to Excel using Python Scripting
Project details
Why this project?
While basic tools fail on messy layouts, I use spatial coordinate mapping (Inline, Top-down, Multiline) to pinpoint data with surgical precision.
Key Features:
1. Smart Extraction: Captures data based on exact page coordinates.
2. Pro Excel Output: Auto-formatted files with frozen panes and currency styling.
3. Error Logging: Detailed logs for skipped files to ensure 100% data integrity.
4. Scalable: Easy YAML configuration to add new templates in seconds.
Turn your PDF backlog into actionable data instantly.
While basic tools fail on messy layouts, I use spatial coordinate mapping (Inline, Top-down, Multiline) to pinpoint data with surgical precision.
Key Features:
1. Smart Extraction: Captures data based on exact page coordinates.
2. Pro Excel Output: Auto-formatted files with frozen panes and currency styling.
3. Error Logging: Detailed logs for skipped files to ensure 100% data integrity.
4. Scalable: Easy YAML configuration to add new templates in seconds.
Turn your PDF backlog into actionable data instantly.
Data Tool
PythonWhat's included
| Service Tiers |
Starter
$10
|
Standard
$25
|
Advanced
$60
|
|---|---|---|---|
| Delivery Time | 1 day | 3 days | 5 days |
Number of Revisions | 1 | 2 | 3 |
Number of Pages Mined/Scraped | 5 | 50 | 200 |
Number of Sources Mined/Scraped | 1 | 10 | 50 |
About Muqaddas
Python Automation | CSV & Excel Data Cleaning and Reporting
Karachi, Pakistan - 5:13 pm local time
What I automate:
- Data Cleaning & Validation: Remove duplicates, standardize formats, fix inconsistencies across large datasets
- Excel/CSV Processing: Automated ETL pipelines using Pandas, OpenPyXL, and XlsxWriter for recurring reports
- Report Generation: Self-updating Excel dashboards and SQLite databases delivered on schedule
- Google Sheets Integration: API connections to sync external data sources automatically
Recent project: Built an end-to-end Python pipeline that automatically ingests CSV sales files, cleans and validates the data, and generates a formatted Excel report with charts , replacing a fully manual process with a single script that runs itself.
You get: Clean, documented Python code with setup instructions anyone can follow, plus 14-day support for tweaks.
Best fit for: Operations teams, analysts, and small businesses with recurring data tasks — weekly reports, imports, audits.
Not for: One-time data entry, web scraping, or ML/modeling projects.
Ready to reclaim your time? Attach your messiest file and describe your ideal output — I'll respond with a 2-sentence automation plan within 4 hours.
Steps for completing your project
After purchasing the project, send requirements so Muqaddas can start the project.
Delivery time starts when Muqaddas receives requirements from you.
Muqaddas works on your project following the steps below.
Revisions may occur after the delivery date.
Layout Analysis & Field Mapping
I will analyze your sample PDFs to determine the data structure and map labels to the extraction methods (Inline, Top-down, or Multiline) in the configuration file.
Extraction Engine Development
I will configure the "pdfplumber" logic to accurately capture values based on their spatial coordinates within your specific document layouts.