Git VS DocParser
Compare Git VS DocParser and see what are their differences
LibHunt tracks mentions of software libraries on relevant social networks. Based on that data, you can find the most popular projects and their alternatives.
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Git
GitHub
Mercurial SCM
GitHub Desktop
Cryptlex
Azure DevOps
BetterCloud
Apache Subversion
DocParser
Amazon Textract
FlexiCapture
Docsumo
Parseur.com
IBM Datacap
Workfusion Intelligent Automation Cloud
ABBYY FineReader
Git DocParserBased on our record, Git seems to be a lot more popular than DocParser. While we know about 229 links to Git, we've tracked only 14 mentions of DocParser. 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.
Official Git Documentation: https://git-scm.com/ - The definitive source for all things Git, with in-depth explanations, commands, and tutorials. Interactive Git Training: https://learngitbranching.js.org/ - A hands-on platform to learn Git fundamentals and experiment with branching and merging in a simulated environment. Git SCM Blog: https://git-scm.com/ - Stay updated on the latest Git developments, news, and... - Source: dev.to / 8 days ago
Git: Version 2.28.0 or higher. Download from git-scm.com. - Source: dev.to / 10 days ago
To learn more about git and official documentation. - Source: dev.to / 10 days ago
Git for version control and GitHub for storing remote versions of the repository. - Source: dev.to / 10 days ago
This Docker image is designed to support implementing Github Actions With Python. As of version 4.0.0., it starts with The official python docker image as the base Which is a Debian OS. It specifically uses python:3-slim to keep the image size Down for faster loading of Github Actions that use pyaction. On top of the Base, we've installed curl, Gpg, git, and the GitHub CLI. We added curl and gpg because they Are... - Source: dev.to / 12 days ago
You could try an online service like https://extract-io.web.app/ or https://docparser.com/. Source: 12 months 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 spent on manual data entry. Link to DocParser. Source: about 1 year 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: about 1 year ago
Thank you for sharing those! I didn't know them I've only checked this one https://docparser.com/ and I think my solution could be better because it will be easier for the user. Source: over 1 year ago
As previously suggested, if the layout of your PDFs never changes (consistent column widths in tables and placement), you can use a zonal PDF parser like DocParser. Alternatively, an AI-powered parser may be a better choice. Source: over 1 year ago
GitHub - Originally founded as a project to simplify sharing code, GitHub has grown into an application used by over a million people to store over two million code repositories, making GitHub the largest code host in the world.
Amazon Textract - Easily extract text and data from virtually any document using Amazon Textract. Textract goes beyond simple optical character recognition (OCR) to also identify the contents of fields in forms and information stored in tables.
Mercurial SCM - Mercurial is a free, distributed source control management tool.
FlexiCapture - ABBYY FlexiCapture brings together the best NLP, machine learning, and advanced recognition capabilities into a single, enterprise-scale platform to handle every type of document. Available in the Cloud, on premise or as SDK.
GitHub Desktop - GitHub Desktop is a seamless way to contribute to projects on GitHub and GitHub Enterprise.
Docsumo - Extract Data from Unstructured Documents - Easily. Efficiently. Accurately.