Day 25: Document AI Project | OCR, PDF Extraction, Invoice & ID Card Automation

Welcome to Day 25 of the AI Internship Program! 🚀
Today we start one of the most demanded AI automation topics — Document AI, where we extract text, tables, invoice details, and ID card information using OCR and PDF parsing tools.

We will use EasyOCR, Tesseract, PyPDF2, OpenCV, Camelot/Tabula, and Pandas to build a complete HR + KYC automation pipeline.

📌 What You’ll Learn Today
✔ OCR (Optical Character Recognition)

Extract text from scanned images & PDFs

Use EasyOCR + Tesseract for multilingual extraction

Improve accuracy using OpenCV preprocessing

✔ PDF → Text Extraction

Read raw text from PDFs

Clean & convert text into structured format

Handle low-quality or scanned PDFs

✔ Invoice / Bill Data Extraction

Extract vendor name, invoice date, total amount, GST

Use Regex + OCR for field detection

Convert structured output to DataFrame (Pandas)

✔ ID Card Data Extraction (Aadhaar / PAN / License)

Extract Name, DOB, Gender, ID Number

Validate formats

Mask sensitive information (like Aadhaar digits)

✔ Table Extraction using Camelot / Tabula

Read tables from invoices, reports & statements

Export to CSV/Excel

Handle multi-page & complex tables

✔ HR Automation Mini Project

Resume Parsing (Name, Skills, Email, Phone, Experience)

ID Verification Process

Create final JSON/Excel report

Combine OCR + NLP + PDF parsing

✅ Hands-on Coding
✔ OCR + PDF Parsing Pipeline Setup
✔ Invoice & ID Card Extraction Functions
✔ Table Extraction using Camelot
✔ Resume Parsing (Using Regex + NLP)
✔ Final End-to-End “Document AI Automation” System

You will test the project on multiple files like invoices, ID cards, resumes, and PDF reports.

🌐 Resources

Visit: https://ysminfosolution.com

📧 Contact: info@ysminfosolution.com

Видео Day 25: Document AI Project | OCR, PDF Extraction, Invoice & ID Card Automation канала YSM Info Solution