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Airparser
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DocParser
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Revolutionize data extraction with Airparser. Extract structured data from emails, PDFs, and documents.
Django
AirparserBased on our record, Django should be more popular than Airparser. It has been mentiond 16 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
Use of settings.py as a naming convention follows in Django's footsteps, but alternatively, you can save it to .env and integrate use of python-dotenv to more closely mirror Node. - Source: dev.to / 8 months ago
Let's dive into a quick implementation of this using AWS and Django. We will be using a couple of ideas from the AWS Official Blog. - Source: dev.to / about 2 years ago
Django is a high-level Python web framework. It is an Model-View-Template(MVT)-based, open-source web application development framework. It was released in 2005. It comes with batteries included. Some popular websites using Django are Instagram, Mozilla, Disqus, Bitbucket, Nextdoor and Clubhouse. - Source: dev.to / almost 4 years ago
This seems like a job for Django. MDN offers a really good tutorial here. To be honest, it would be a massive undertaking so Iโd recommend going for a prebuilt solution like PowerSchool and the like. Source: almost 4 years ago
The first party docs are second to none. Start out with the official tutorial on https://djangoproject.com . Source: about 4 years ago
I'm the developer of two tools that can do precisely what you're looking for: Parsio (https://parsio.io) and Airparser (https://airparser.com). Source: almost 3 years ago
To extract tables from PDFs, you can use the following tools: 1. Tabula (https://tabula.technology): a free and open-source tool. 2. Parsio (https://parsio.io): uses pre-trained AI models for data extraction from PDFs, emails, and other formats. 3. Airparser (https://airparser.com): uses GPT approach similar to ChatGPT for data extraction from PDFs, emails, and other formats. - Source: Hacker News / almost 3 years ago
Ruby on Rails - Ruby on Rails is an open source full-stack web application framework for the Ruby programming...
Parseur.com - Automate text extraction from emails and PDFs by using our powerful email and document parser.
Laravel - A PHP Framework For Web Artisans
Parsio.io - No-code email & PDF parser
Flask - a microframework for Python based on Werkzeug, Jinja 2 and good intentions.
DocParser - Extract data from PDF files & automate your workflow with our reliable document parsing software. Convert PDF files to Excel, JSON or update apps with webhooks.