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
Agentic RAG Harness for long documents, Tree and Graph based reasoning. Cited answers down to the pixel
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 Raspberry Pi powered mirror with AI for real-time clothing recognition with audio feedback
A simple OCR app build using the Nanonets OCR API.
A test NPM package to use the Nanonets OCR API.
📄 Extract text from images effortlessly with Multimodal-OCR3, utilizing advanced multimodal models for robust and customizable OCR solutions.
NanoNets' Image Classification Node.js SDK.
📄 Process Vietnam e-invoices seamlessly with multi-format support and a robust extraction pipeline, ensuring financial accuracy and security.
Local & Offline-first Nanonets-OCR-s API
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