Python OCR & GenAI: Extract Text from Images & Docs

📌 Description:

In this video, I’ll walk you through how to extract text from images, invoices, PDFs, and DOCX files using Python and then structure the extracted data into JSON format for better usability. We’ll combine the power of OCR (Optical Character Recognition) with Generative AI (Google Gemini) to make text extraction and document processing smarter and more efficient.

You’ll see how different Python libraries like:

Pytesseract → for OCR and extracting text from images (invoices, scanned files, etc.)

PyPDFPlumber (pdfplumber) → for reading and extracting structured text from PDF files

python-docx → for extracting text from Word documents (.docx)

LangChain + Google Gemini (GenAI) → for refining, structuring, and converting extracted text into a clean JSON format

By the end of this video, you’ll know how to:
✅ Extract text from image files (invoices, scanned docs) with Pytesseract
✅ Parse and process PDF files using pdfplumber
✅ Extract and read text from Word documents using python-docx
✅ Process multiple text files including .txt with Python
✅ Convert raw extracted text into a structured JSON format
✅ Use Google Gemini via LangChain (GenAI) to improve extraction accuracy and add structure

This tutorial is perfect if you’re working on:
🔹 Invoice text extraction
🔹 Document automation
🔹 OCR pipelines
🔹 AI-powered data extraction
🔹 Python automation projects

With this knowledge, you’ll be able to build your own end-to-end OCR + AI pipeline in Python that can handle multiple file formats and make your data more usable for applications like chatbots, analytics, or automation systems.

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👉 Libraries & Tools Used in This Video:

Pytesseract

PyPDFPlumber (pdfplumber)

python-docx

Google Gemini (GenAI)

LangChain

Github - https://github.com/ritikbh193/Invoices_Information_Extraction
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#Python #OCR #Pytesseract #PDFtoText #DocxtoText #GenAI #GoogleGemini #LangChain #InvoiceProcessing #JSON #DataExtraction #AI #Automation