Showing 2 open source projects for "document layout recognition"

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  • 1
    DocTR

    DocTR

    Library for OCR-related tasks powered by Deep Learning

    ...Seemlessly process documents for Natural Language Understanding tasks: we provide OCR predictors to parse textual information (localize and identify each word) from your documents. Robust 2-stage (detection + recognition) OCR predictors with pretrained parameters. User-friendly, 3 lines of code to load a document and extract text with a predictor. State-of-the-art performances on public document datasets, comparable with GoogleVision/AWS Textract. Easy integration (available templates for browser demo & API deployment). End-to-End OCR is achieved in docTR using a two-stage approach: text detection (localizing words), then text recognition (identify all characters in the word). ...
    Downloads: 6 This Week
    Last Update:
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  • 2
    EasyOCR

    EasyOCR

    Ready-to-use OCR with 80+ supported languages

    ...The idea is to be able to plug-in any state-of-the-art model into EasyOCR. There are a lot of geniuses trying to make better detection/recognition models, but we are not trying to be geniuses here. We just want to make their works quickly accessible to the public.
    Downloads: 33 This Week
    Last Update:
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