In this video, I'm going to show you the best way to OCR a PDF in Python with the new spaCy Layout package. The best part about this package is that it gives you access to all the important metadata generated from a spaCy pipeline alongside layout detection and OCR. This means you will have bounding boxes for the labeled regions of text on a given image. You can also do table detection.

spaCy Layout: https://github.com/explosion/spacy-layout
GitHub Repo: https://github.com/wjbmattingly/youtube-spacy-layout/tree/main

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Explosion AI provides educational resources and tools for natural language processing (NLP) and machine learning. Readers can find tutorials, documentation, and community forums on topics such as NLP libraries, text classification, and information extraction. Additionally, they can learn about building machine learning models, training pipelines, and deploying NLP applications.

Explosion

spaCy layout, a new package from Explosion AI, integrates seamlessly with the spaCy pipeline to enable OCR processing of PDFs in a single line of code. It offers features such as bounding box detection, region detection, table detection, and image processing. The package enhances spaCy’s native capabilities like part-of-speech tagging and named entity recognition, making it particularly useful for handling structured and unstructured data within PDFs. Users can convert tables to formats like Markdown or pandas data frames, facilitating easier downstream processing tasks.

Best Way to OCR a PDF in Python - spaCy Layout