
Nanonets
Parseur.com
Docsumo
Rossum
DocuClipper
FlexiCapture
Parsio.io
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.

Cocos2d
RPG Maker VX Ace
PlayCanvas
GameSparks
BeeWare
Unigine
JMonkeyEngine
Open source Python framework for rapid development of applications that make use of innovative user interfaces, such as multi-touch apps. Installation on WindowsInstallation on Windows. Installation; What are wheels .

Which is more popular?
Based on our record, Kivy should be more popular than DocParser. It has been mentioned 48 times since March 2021.
Website, pricing, platforms and company facts side by side.
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| Website | docparser.com | kivy.org |
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What each product offers, as listed by its team.


Possible disadvantages
Possible disadvantages
Walkthroughs and reviews on video.
Extract Tables From PDF to Excel, CSV or Google Sheet with Docparser
More videos
Kivy Intro - Mobile and Desktop App Dev w/ Python
More videos
How often each product is chosen within a category, 0–100% relative to the other.


Share your experience with using DocParser and Kivy. For example, how are they different and which one is better?
External articles and on-site reviews we used to compare the two products.


Docparser operates as a veteran self-service automation tool using an intuitive visual rules engine to pull text, tables, and transactional data from layout structures.
Unlike PyQt, Kivy is free and open-source, isn’t a wrapper around an external UI library, and is licensed under the MIT license, which means you can ship and monetize your Kivy apps.
The look and feel of Kivy is extremely customizable, allowing it to be used as an alternative to libraries like Pygame (for making games with Python). The developers have also released a number of separate libraries...
Kivy was written with a mix of Python and Cython, and it helps build some of the most intuitive user interfaces with multi-touch applications. These multi-touch applications help implement Natural User Interface...
Recommendations tracked on public social media and blogs since March 2021.


You could try an online service like https://extract-io.web.app/ or https://docparser.com/. Source: over 3 years ago
DocParser: DocParser simplifies the extraction of structured data from various file formats, such as PDFs and scanned documents, directly into Google Sheets. By automating this process, DocParser saves valuable time and effort otherwise... Source: over 3 years ago
There are several tools available today that can help you extract tables from PDF files (such as Tabula), or even parse PDFs into structured JSON using AI (like Parsio -> I'm the founder) or without AI (like Docparser). Source: over 3 years ago
Because I mainly work with python, I am using Kivy (https://kivy.org/). Earlier I was HTMX, Jinja templates, Flask, Tailwind and little vanilla JS. It was too inelegant for my taste. I am considering moving to either Swift, or JS/Svelete. - Source: Hacker News / over 1 year ago
There are some things available, and people are working on it. Coincidentally, one of those people is Russell Keith-Magee of Django fame, who founded the BeeWare project. https://beeware.org/ https://beeware.org/about/team/freakboy3742/... - Source: Hacker News / over 1 year ago
We will create this complete Python registration form using Kivy. We get started by installing Kivy, a powerful Python framework for building interactive applications. - Source: dev.to / over 2 years ago
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Extract Data from Unstructured Documents - Easily. Efficiently. Accurately.
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