NanoNets OCR API Example for Python
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Updated
Mar 15, 2022 - Python
NanoNets OCR API Example for Python
Official implementation of NanoNet: Real-time medical Image segmentation architecture (IEEE CBMS)
A Gradio-based demo application for comparing state-of-the-art OCR models: DeepSeek-OCR, Dots.OCR, HunyuanOCR, and Nanonets-OCR2-3B.
Nanonets. Build your own Cracked Screen Detection Model
Multimodal-OCR3 is an advanced Optical Character Recognition (OCR) application that leverages multiple state-of-the-art multimodal models to extract text from images.
NanoNets Image Classification API Example for Python
A Raspberry Pi powered mirror with AI for real-time clothing recognition with audio feedback
Local & Offline-first Nanonets-OCR-s API
A streamlined tool for efficient vehicle plate detection and extraction, harnessing advanced image processing techniques.
A python wrapper for the Nanonets API
🖼️ Compare top OCR models with this Gradio demo: upload images, apply prompts, and extract text or locate objects effortlessly.
📄 Extract text from images effortlessly with Multimodal-OCR3, utilizing advanced multimodal models for robust and customizable OCR solutions.
🖼️ Enhance image text recognition with HunyuanOCR-Demo, a Gradio app for precise OCR tasks, including text detection, extraction, and formatting.
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