NanoNets OCR API Example for Python
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Updated
Mar 15, 2022 - Python
NanoNets OCR API Example for Python
NanoNets Object Detection API Example for Python
Official implementation of NanoNet: Real-time medical Image segmentation architecture (IEEE CBMS)
Invoice Processing with Python and Nanonets
NanoNets Object Detection API Example for Golang
Nanonets. Build your own Cracked Screen Detection Model
A Gradio-based demo application for comparing state-of-the-art OCR models: DeepSeek-OCR, Dots.OCR, HunyuanOCR, and Nanonets-OCR2-3B.
NanoNets Object Detection API Example for Node.js
NanoNets Image Classification API Example for Python
Multimodal-OCR3 is an advanced Optical Character Recognition (OCR) application that leverages multiple state-of-the-art multimodal models to extract text from images.
Passport Data Extractor is an Airtable block that uses Nanonets OCR API to extract relevant information from Passport Images that are part of a base.
NanoNets' Optical Character Recognition Node.js SDK.
NanoNets' Image Classification Node.js SDK.
A simple OCR app build using the Nanonets OCR API.
A Raspberry Pi powered mirror with AI for real-time clothing recognition with audio feedback
A test NPM package to use the Nanonets OCR API.
A PowerShell module that wraps the Nanonets REST API.
A sample web app using NanoNets' OCR and Image Classification Node.js SDK.
NanoNets' Optical Character Recognition and Image Classification Node.js SDK.
Local & Offline-first Nanonets-OCR-s API
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