layout-parser VS py-pdf-parser

Compare layout-parser vs py-pdf-parser and see what are their differences.

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layout-parser py-pdf-parser
6 2
4,438 335
3.3% -
0.0 4.8
about 2 months ago 10 days ago
Python Python
Apache License 2.0 MIT License
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.

layout-parser

Posts with mentions or reviews of layout-parser. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-01-06.

py-pdf-parser

Posts with mentions or reviews of py-pdf-parser. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2021-11-02.

What are some alternatives?

When comparing layout-parser and py-pdf-parser you can also consider the following projects:

EasyOCR - Ready-to-use OCR with 80+ supported languages and all popular writing scripts including Latin, Chinese, Arabic, Devanagari, Cyrillic and etc.

pdfplumber - Plumb a PDF for detailed information about each char, rectangle, line, et cetera — and easily extract text and tables.

tika-python - Tika-Python is a Python binding to the Apache Tika™ REST services allowing Tika to be called natively in the Python community.

BCNet - Deep Occlusion-Aware Instance Segmentation with Overlapping BiLayers [CVPR 2021]

Maya - Datetimes for Humans™

ssd_keras - A Keras port of Single Shot MultiBox Detector

mexican-government-report - Text Mining on the 2019 Mexican Government Report, covering from extracting text from a PDF file to plotting the results.

simpletransformers - Transformers for Information Retrieval, Text Classification, NER, QA, Language Modelling, Language Generation, T5, Multi-Modal, and Conversational AI

shabby-pages - ShabbyPages is a state-of-the-art corpus of born-digital document images with both ground truth and distorted versions appropriate for use in training models to reverse distortions and recover to original denoised documents.

pydantic - Data validation using Python type hints