You will get structured data extracted from PDFs and documents using AI and Python
Project details
You will get accurate, structured data extracted from your PDF documents — delivered as clean Excel, CSV or JSON. I'm a Computer Engineering student specialized in AI and Python, with hands-on experience building RAG-based systems and document processing pipelines during my internship at a health-tech company. I built and maintain pdf-extract-ai, an open-source LLM-powered PDF extraction tool, so your project runs on proven code, not experiments. Every delivery includes accuracy checks against the source documents and the reusable Python script, so you own the full solution. Clear communication, fast turnaround, and no shortcuts on quality.
Data Tool
PythonWhat's included
| Service Tiers |
Starter
$15
|
Standard
$40
|
Advanced
$90
|
|---|---|---|---|
| Delivery Time | 2 days | 4 days | 7 days |
Number of Pages Mined/Scraped | 50 | 250 | 1000 |
Number of Sources Mined/Scraped | 1 | 5 | 20 |
Number of Revisions | 1 | 2 | 3 |
About Ege
Python Automation Specialist | Web Scraping & AI-Powered Tools (LLM)
Ankara, Turkey - 10:42 pm local time
Recent work includes a Python/Playwright-based price monitoring tool that scrapes e-commerce competitor data and generates automated reports, and hands-on experience with RAG systems, semantic search (FAISS, ChromaDB), and LLM application development.
I'm a Computer Engineering student with internship experience in an AI-focused defense-tech company, and I care about writing clean, reliable code that actually ships — not just prototypes.
If you need:
Web scraping / data extraction automation
AI-powered tools (chatbots, semantic search, RAG pipelines)
Python scripting & backend automation
Let's talk about your project.
Steps for completing your project
After purchasing the project, send requirements so Ege can start the project.
Delivery time starts when Ege receives requirements from you.
Ege works on your project following the steps below.
Revisions may occur after the delivery date.
1
Review your sample PDFs and confirm the exact fields and output format with you.
2
Build and run the extraction pipeline, validating results against the source documents.