docutron
deep-text-recognition-benchmark
docutron | deep-text-recognition-benchmark | |
---|---|---|
2 | 2 | |
17 | 3,633 | |
- | 1.0% | |
5.8 | 0.0 | |
7 months ago | 2 months ago | |
Jupyter Notebook | Jupyter Notebook | |
Apache License 2.0 | Apache License 2.0 |
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docutron
deep-text-recognition-benchmark
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OCR on soda can and food containers
Yeah EasyOCR uses https://github.com/clovaai/deep-text-recognition-benchmark as a backbone. Could definitely be a good option.
What are some alternatives?
unstructured - Open source libraries and APIs to build custom preprocessing pipelines for labeling, training, or production machine learning pipelines.
detectron2 - Detectron2 is a platform for object detection, segmentation and other visual recognition tasks.
genalog - Genalog is an open source, cross-platform python package allowing generation of synthetic document images with custom degradations and text alignment capabilities.
EasyOCR - Ready-to-use OCR with 80+ supported languages and all popular writing scripts including Latin, Chinese, Arabic, Devanagari, Cyrillic and etc.
document-ai-samples - Sample applications and demos for Document AI, the end-to-end document processing platform on Google Cloud
mmocr - OpenMMLab Text Detection, Recognition and Understanding Toolbox
videocr-PaddleOCR - Extract hardcoded subtitles from videos using machine learning
awesome-ocr
ocrpy - OCR, Archive, Index and Search: Implementation agnostic OCR framework.
doctr - docTR (Document Text Recognition) - a seamless, high-performing & accessible library for OCR-related tasks powered by Deep Learning.
Multi-Type-TD-TSR - Extracting Tables from Document Images using a Multi-stage Pipeline for Table Detection and Table Structure Recognition:
Machine-Learning-Cyrillic-Classifier - This is a web app where you can draw a letter in the russian alphabet and the ML algorithm will predict the letter that you drew.