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Spacy-en Core Web Sm is a specialized AI tool designed to extract text from scanned documents and process it to identify and extract entities and details. It is optimized for Natural Language Processing (NLP) tasks, focusing on accuracy and efficiency in handling scanned or image-based text.
pip install spacy-en-core-web-smimport spacy
nlp = spacy.load("en_core_web_sm")
doc = nlp("Sample text or scanned content")
for ent in doc.ents:
print(f"{ent.text}: {ent.label_}")
What types of documents does Spacy-en Core Web Sm support?
Spacy-en Core Web Sm works with scanned documents, PDFs, and image-based text, making it ideal for extracting data from non-editable sources.
Is Spacy-en Core Web Sm suitable for non-English text?
While it is primarily designed for English text, it can handle some non-English text with varying degrees of accuracy. For multilingual support, additional models may be required.
Can I use Spacy-en Core Web Sm in web applications?
Yes, it is designed to integrate seamlessly with web applications, enabling efficient text processing and entity extraction in real-time workflows.