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
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 a highly capable, experimental optical character recognition and visual processing suite designed for precise text extraction, document parsing, and markdown generation. Leveraging a powerful selection of vision-language.
NanoNets Object Detection API Example for Node.js
NanoNets Image Classification API Example for Python
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 simple OCR app build using the Nanonets OCR API.
NanoNets' Image Classification Node.js SDK.
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 sample web app using NanoNets' OCR and Image Classification Node.js SDK.
NanoNets' Optical Character Recognition and Image Classification Node.js SDK.
A PowerShell module that wraps the Nanonets REST API.
Local & Offline-first Nanonets-OCR-s API
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