Machine Learning with Python
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Learn Machine Learning with hands-on Python tutorials, real-world code examples, and clear explanations for researchers and developers.
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📚 JaidedAI/EasyOCR — an open-source Python library for Optical Character Recognition (OCR) that's easy to use and supports over 80 languages out of the box.

### 🔍 Key Features:

🔸 Extracts text from images and scanned documents — including handwritten notes and unusual fonts
🔸 Supports a wide range of languages like English, Russian, Chinese, Arabic, and more
🔸 Built on PyTorch — uses modern deep learning models (not the old-school Tesseract)
🔸 Simple to integrate into your Python projects

### Example Usage:

import easyocr

reader = easyocr.Reader(['en', 'ru']) # Choose supported languages
result = reader.readtext('image.png')


### 📌 Ideal For:

Text extraction from photos, scans, and documents
Embedding OCR capabilities in apps (e.g. automated data entry)

🔗 GitHub: https://github.com/JaidedAI/EasyOCR

👉 Follow us for more: @DataScienceN

#Python #OCR #MachineLearning #ComputerVision #EasyOCR
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🤖🧠 PaddleOCR-VL: Redefining Multilingual Document Parsing with a 0.9B Vision-Language Model

🗓️ 20 Oct 2025
📚 AI News & Trends

In an era where information is predominantly digital, the ability to extract, interpret and organize data from documents is crucial. From invoices and research papers to multilingual contracts and handwritten notes, document parsing stands at the intersection of vision and language. Traditional Optical Character Recognition (OCR) systems have made impressive strides but they often fall ...

#PaddleOCR-VL #Multilingual #DocumentParsing #VisionLanguageModel #OCR #AI
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