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I've used it, lots of false positives out of the box, you need to do a ton of tuning or put a transformer/BERT model with it, but then at that point it's basically the same thing as the OP's project.
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Looks like it uses Googles Langextract, which uses only LLMs for NLP, while OP is using a small NER model that runs locally.
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full of false positives though. but definitely good for some types of entities and regexes
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