Python

Document Analyzer

Build a document processing pipeline with AI. Extract insights from PDFs, analyze content, and generate summaries.

⏱️ 2h 15min

📦 7 modules

🎯 Intermediate

What You'll Build

Build a comprehensive document analysis system that processes various formats and extracts intelligent insights. Your system will process PDFs, Word documents, and images, extract text with OCR technology, and analyze content using AI models to generate structured summaries and insights.

The pipeline will handle batch processing at scale, transforming unstructured documents into actionable intelligence using cutting-edge AI technology. This is a production-ready system suitable for enterprise document processing workflows.

Learning Objectives

Parse and extract content from multiple document formats
Implement OCR for image-based documents
Use AI for content analysis and summarization
Extract key information and named entities
Generate structured insights and reports
Build a scalable processing pipeline

Prerequisites

Intermediate Python programming skills
Understanding of file I/O operations
Basic knowledge of natural language processing
Familiarity with async programming

Course Modules

Document Parsing Setup

Set up document parsing with multiple format support.

Learn to use:

pdfplumber for PDF extraction
python-docx for Word documents
Pillow for image handling
Create a DocumentParser base class

OCR Integration

Implement optical character recognition for scanned documents and images. Handle image preprocessing for better accuracy.

Content Structuring

Parse document structure, identify sections, headers, tables, and organize content into a structured format.

AI-Powered Analysis

Leverage AI to extract meaningful insights from documents. You'll analyze content with GPT models, extract key themes and topics, and identify important information automatically. Learn to classify documents by type and content, enabling intelligent document routing and organization.

Summarization & Insights

Generate concise summaries, extract action items, identify named entities, and create insights from document content.

Batch Processing Pipeline

Build a scalable pipeline to process multiple documents, implement queuing, and handle large document sets efficiently.

API & Results Export

Create a REST API for document upload and analysis, export results in various formats (JSON, Markdown, HTML).

Technologies

Python PyPDF2 pdfplumber pytesseract OpenAI spaCy FastAPI