NanoNets OCR API Example for Python
-
Updated
Mar 15, 2022 - Python
#
nanonets
Here are 30 public repositories matching this topic...
NanoNets Object Detection API Example for Python
-
Updated
Feb 7, 2019 - Jupyter Notebook
Official implementation of NanoNet: Real-time medical Image segmentation architecture (IEEE CBMS)
python tensorflow segmentation lightweight-framework unet residual-networks semantic-segmentation image-segmentation-tensorflow medical-image-segmentation nanonets squeeze-and-excitation open-source-datasets capsule-endoscopy lightweight-neural-network polyp-segmentation
-
Updated
Oct 17, 2023 - Python
Invoice Processing with Python and Nanonets
-
Updated
Nov 27, 2020
NanoNets Object Detection API Example for Golang
-
Updated
Feb 23, 2018 - Go
A Gradio-based demo application for comparing state-of-the-art OCR models: DeepSeek-OCR, Dots.OCR, HunyuanOCR, and Nanonets-OCR2-3B.
python ocr pillow torch accelerate supervision gradio opencv-python nanonets torchvision sentencepiece huggingface-transformers huggingface-spaces flash-attention-2 hunyuan qwen2-5-vl dots-ocr deepseek-ocr easydict
-
Updated
Nov 28, 2025 - Python
Agentic RAG Harness for long documents, Tree and Graph based reasoning. Cited answers down to the pixel
pdf ocr graph indexing citations knowledge-graph question-answering vlm nanonets rag document-ai llm rag-pipeline vlm-ocr vectorless-rag
-
Updated
Apr 15, 2026 - Python
Nanonets. Build your own Cracked Screen Detection Model
-
Updated
Oct 15, 2019 - Python
NanoNets Object Detection API Example for Node.js
-
Updated
Feb 23, 2018 - JavaScript
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.
python ocr pillow pytorch matplotlib gradio ocr-recognition nanonets huggingface-transformers vision-transformer huggingface-models huggingface-spaces vision-language-model qwen2-5-vl qwen3-vl chandra-ocr dotsocr olmocr2
-
Updated
Mar 23, 2026 - Python
NanoNets Image Classification API Example for Python
-
Updated
Feb 7, 2019 - 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.
-
Updated
Dec 11, 2022 - TypeScript
NanoNets' Optical Character Recognition Node.js SDK.
-
Updated
Nov 11, 2021 - JavaScript
A simple OCR app build using the Nanonets OCR API.
-
Updated
Jan 22, 2026 - Java
A Raspberry Pi powered mirror with AI for real-time clothing recognition with audio feedback
raspberry-pi recognition ai camera feedback python3 artificial-intelligence artificial-neural-networks raspberry object-detection speaker raspberry-pi-camera pygame-library object-recognition raspberry-pi-3 nanonets audio-feedback
-
Updated
May 19, 2019 - Python
A test NPM package to use the Nanonets OCR API.
-
Updated
Apr 22, 2023 - JavaScript
NanoNets' Image Classification Node.js SDK.
-
Updated
Nov 11, 2021 - JavaScript
📄 Extract text from images effortlessly with Multimodal-OCR3, utilizing advanced multimodal models for robust and customizable OCR solutions.
ocr pillow pytorch matplotlib ocr-recognition nanonets inference-optimization huggingface-transformers vision-transformer huggingface-models sota-model huggingface-spaces vision-language-model multimodal-large-language-models qwen3-vl chandra-ocr dotsocr olmocr2
-
Updated
Apr 17, 2026 - Python
📄 Process Vietnam e-invoices seamlessly with multi-format support and a robust extraction pipeline, ensuring financial accuracy and security.
mysql python typescript deep-learning docker-compose xml ethereum invoices self-hosted nginx-proxy invoice monero xmr ltc payment-processor saudi nanonets bep20 fatoora
-
Updated
Apr 17, 2026 - Go
A PowerShell module that wraps the Nanonets REST API.
-
Updated
May 15, 2023 - PowerShell
Improve this page
Add a description, image, and links to the nanonets topic page so that developers can more easily learn about it.
Add this topic to your repo
To associate your repository with the nanonets topic, visit your repo's landing page and select "manage topics."