tika-python
ocrpy
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| tika-python | ocrpy | |
|---|---|---|
| 4 | 6 | |
| 1,411 | 218 | |
| - | 0.5% | |
| 2.2 | 0.0 | |
| 11 days ago | 6 months ago | |
| Python | Jupyter Notebook | |
| Apache License 2.0 | MIT License |
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.
tika-python
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Document Parsing - an unsolved problem?
At my previous job we had the same problem which we solved by using Tika. We called it on the server along with other stuff, but there is also a Python binding.
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Extract text from PDF
Tika is from Apache so yes its original code base is Java but it has bindings in other languages. Checkout Tika-Python!
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Extract text from documents
The Textractor instance is the main entrypoint for extracting text. This method is backed by Apache Tika, a robust text extraction library written in Java. Apache Tika has support for a large number of file formats: PDF, Word, Excel, HTML and others. The Python Tika package automatically installs Tika and starts a local REST API instance used to read extracted data.
ocrpy
- OcrPy: A Python Library to OCR, Archive, Index and Search Any Document
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A Python Library to OCR, Archive, Index and Search any documents with ease
We wanted to share a library that we've been working on for a while. It's called OcrPy - a Python library for doing OCR++.
Here's a direct link to the Search section of the repo in case anyone is interested: https://github.com/maxent-ai/ocrpy/blob/main/notebooks/ocrpy_with_haystack.ipynb
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A Python Library to OCR, Archive, Index and Search any documents with ease, with a simple and intuitive interface and a powerful Pipeline API.
Documentation: https://maxentlabs.com/ocrpy
- OcrPy : A Python Library to OCR, Archive, Index and Search any documents with ease, with a simple and intuitive interface and a powerful Pipeline API.
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Document Parsing - an unsolved problem?
GitHub: https://github.com/maxent-ai/ocrpy
What are some alternatives?
EasyOCR - Ready-to-use OCR with 80+ supported languages and all popular writing scripts including Latin, Chinese, Arabic, Devanagari, Cyrillic and etc.
docutron - Docutron Toolkit: detection and segmentation analysis for legal data extraction over documents.
txtai - 💡 All-in-one open-source embeddings database for semantic search, LLM orchestration and language model workflows
elastic_transformers - Making BERT stretchy. Semantic Elasticsearch with Sentence Transformers
layout-parser - A Unified Toolkit for Deep Learning Based Document Image Analysis
konfuzio-sdk - OCR, extract and classify documents. In addition, annotate documents and build your own NLP and Computer Vision models using Python by downloading the data. Find examples in our Colab Notebooks, e. g. how to fine-tune Flair.
py-pdf-parser - A Python tool to help extracting information from structured PDFs.
PaddleOCR - Awesome multilingual OCR toolkits based on PaddlePaddle (practical ultra lightweight OCR system, support 80+ languages recognition, provide data annotation and synthesis tools, support training and deployment among server, mobile, embedded and IoT devices)
contextualized-topic-models - A python package to run contextualized topic modeling. CTMs combine contextualized embeddings (e.g., BERT) with topic models to get coherent topics. Published at EACL and ACL 2021.
nlp - Repository for all things Natural Language Processing
paperai - 📄 🤖 Semantic search and workflows for medical/scientific papers
Azure-Computer-Vision-in-a-day-workshop - Azure Computer Vision 4 (March 2023 - Florence) workshop in a day