ocrpy VS tika-python

Compare ocrpy vs tika-python and see what are their differences.

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ocrpy tika-python
6 4
218 1,418
0.5% -
0.0 2.2
6 months ago 17 days ago
Jupyter Notebook Python
MIT License Apache License 2.0
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.

ocrpy

Posts with mentions or reviews of ocrpy. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-07-19.

tika-python

Posts with mentions or reviews of tika-python. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-07-19.
  • Document Parsing - an unsolved problem?
    5 projects | /r/LanguageTechnology | 19 Jul 2022
    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.
  • Extract text from PDF
    7 projects | /r/Python | 2 Nov 2021
    Tika is from Apache so yes its original code base is Java but it has bindings in other languages. Checkout Tika-Python!
  • Extract text from documents
    5 projects | dev.to | 27 Mar 2021
    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.

What are some alternatives?

When comparing ocrpy and tika-python you can also consider the following projects:

docutron - Docutron Toolkit: detection and segmentation analysis for legal data extraction over documents.

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

elastic_transformers - Making BERT stretchy. Semantic Elasticsearch with Sentence Transformers

txtai - 💡 All-in-one open-source embeddings database for semantic search, LLM orchestration and language model workflows

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.

layout-parser - A Unified Toolkit for Deep Learning Based Document Image Analysis

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)

py-pdf-parser - A Python tool to help extracting information from structured PDFs.

nlp - Repository for all things Natural Language Processing

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.

Azure-Computer-Vision-in-a-day-workshop - Azure Computer Vision 4 (March 2023 - Florence) workshop in a day

paperai - 📄 🤖 Semantic search and workflows for medical/scientific papers