rakun2
tika-python
rakun2 | tika-python | |
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1 | 4 | |
61 | 1,418 | |
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6.1 | 2.2 | |
3 months ago | 17 days ago | |
Python | Python | |
MIT License | Apache License 2.0 |
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rakun2
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.
What are some alternatives?
ddb-extraction - Extract the samples of a DDB Vocaloid file.
EasyOCR - Ready-to-use OCR with 80+ supported languages and all popular writing scripts including Latin, Chinese, Arabic, Devanagari, Cyrillic and etc.
NLP-Guide - Natural Language Processing (NLP). Covering topics such as Tokenization, Part Of Speech tagging (POS), Machine translation, Named Entity Recognition (NER), Classification, and Sentiment analysis.
txtai - π‘ All-in-one open-source embeddings database for semantic search, LLM orchestration and language model workflows
TopMost - A Topic Modeling System Toolkit
layout-parser - A Unified Toolkit for Deep Learning Based Document Image Analysis
kerning-pairs - The ultimate list of kerning pairs for type designers
py-pdf-parser - A Python tool to help extracting information from structured PDFs.
taxonomy4good - Taxonomy4Good: a sustainability lexicon that provides the freedom to create custom taxonomies in addition to listed ESG and Sustainability Standards taxonomies.
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.
megabots - π€ State-of-the-art, production ready LLM apps made mega-easy, so you don't have to build them from scratch π€― Create a bot, now π«΅
paperai - π π€ Semantic search and workflows for medical/scientific papers