ddb-extraction
tika-python
ddb-extraction | tika-python | |
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1 | 4 | |
37 | 1,424 | |
- | - | |
3.2 | 2.2 | |
8 months ago | about 1 month ago | |
Python | Python | |
MIT License | Apache License 2.0 |
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ddb-extraction
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How to open ddb files/get the original voice recordings?
Here's a .DDB extractor that I found! https://github.com/641i130/ddb-extraction
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?
rakun2 - RaKUn 2.0 - A fast keyword detection algorithm
EasyOCR - Ready-to-use OCR with 80+ supported languages and all popular writing scripts including Latin, Chinese, Arabic, Devanagari, Cyrillic and etc.
unblob - Extract files from any kind of container formats
txtai - π‘ All-in-one open-source embeddings database for semantic search, LLM orchestration and language model workflows
unrpa - A program to extract files from the RPA archive format.
layout-parser - A Unified Toolkit for Deep Learning Based Document Image Analysis
adversarial-robustness-toolbox - Adversarial Robustness Toolbox (ART) - Python Library for Machine Learning Security - Evasion, Poisoning, Extraction, Inference - Red and Blue Teams
py-pdf-parser - A Python tool to help extracting information from structured PDFs.
stanford-openie-python - Stanford Open Information Extraction made simple!
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 (Bianchi et al.).
paperai - π π€ Semantic search and workflows for medical/scientific papers
paperetl - π βοΈ ETL processes for medical and scientific papers