|over 2 years ago||5 months ago|
|MIT License||Apache License 2.0|
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- Extract text from PDF
[For Hire] Data Analysis, Bots, Web Scrapers & Automation Software
9 projects | reddit.com/r/jobbit | 23 Feb 2021
Mexican Government Report Text Analysis using spaCy, NumPy, pandas, Matplotlib, Seaborn and geopandas.
Document Parsing - an unsolved problem?
5 projects | reddit.com/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
Hey, I’ve spent quite a bit of time looking at extracting text as accurately as possibly from PDFs, it’s turns out that it is not as simple as it might seem. It is especially tricky once you get a wide variety of PDFs (including PDFs with image based text or tables). While I unfortunately cannot share the code I used to extract this text, I will tell you that for what I think your doing, the best solution will require a few things. First you should pick a good module. I’ve spent a long time going over open source solutions to this and the best two I’d say are Excalibur and Apache Tika .
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?
EasyOCR - Ready-to-use OCR with 80+ supported languages and all popular writing scripts including Latin, Chinese, Arabic, Devanagari, Cyrillic and etc.
txtai - 💡 Build AI-powered semantic search applications
py-pdf-parser - A Python tool to help extracting information from structured PDFs.
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.
paperai - 📄 🤖 AI-powered literature discovery and review engine for medical/scientific papers
layout-parser - A Unified Toolkit for Deep Learning Based Document Image Analysis
reddit-bots - A collection of Reddit bots that I use to enhance the subreddits I manage.
actions-bot - A tutorial explaining how to host and schedule a Discord webhook bot on GitHub Actions.
mexican-jobs-2020 - Data ETL & Analysis on thousands of job listings from the official Mexican job board (2020 edition).
paperetl - 📄 ⚙️ ETL processes for medical and scientific papers
Machine-Learning-Cyrillic-Classifier - This is a web app where you can draw a letter in the russian alphabet and the ML algorithm will predict the letter that you drew.