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)
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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.
A Raspberry Pi powered mirror with AI for real-time clothing recognition with audio feedback
NanoNets' Image Classification Node.js SDK.
A simple OCR app build using the Nanonets OCR API.
A test NPM package to use the Nanonets OCR API.
A sample web app using NanoNets' OCR and Image Classification Node.js SDK.
A PowerShell module that wraps the Nanonets REST API.
Local & Offline-first Nanonets-OCR-s API
NanoNets' Optical Character Recognition and Image Classification Node.js SDK.
NanoNets API Reference.
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