Foundation
Bootstrap
Materialize CSS
Semantic UI
UIKit
Tailwind CSS
Bulma
Material UI
DocParser
Nanonets
Parseur.com
Rossum
Docsumo
FlexiCapture
Amazon Textract
Parsio.io
Foundation DocParserBased on our record, Foundation should be more popular than DocParser. It has been mentiond 22 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.
Foundation - The most advanced responsive front-end framework. - Source: dev.to / 5 months ago
Foundation is a mobile-first responsive front-end framework that provides a range of CSS and JavaScript components for creating websites quickly. Itโs often seen as a competitor to Bootstrap, offering more flexibility and customization options. - Source: dev.to / over 1 year ago
Foundation: An easy-to-use, powerful, and flexible front-end framework for building web applications on any device. - Source: dev.to / over 1 year ago
Here is a thought you might want to consider and see if it makes sense. This is personal, but I also believe this is where design codes (especially CSS) are going to go. It is not going to be Tailwind or more new frameworks. Honestly, I think all of these Bootstrap, Foundation, and Tailwind, etc. Are like middle-layer abstractions are for designs that are neither small nor large. Bootstrap won because of the... - Source: Hacker News / almost 2 years ago
Foundation is another popular open-source front-end framework, similar to Bootstrap, but with its own set of features and design principles. It was created by ZURB a design and development company in 2011. And is also maintained by a community of developers. - Source: dev.to / about 2 years ago
You could try an online service like https://extract-io.web.app/ or https://docparser.com/. Source: about 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 spent on manual data entry. Link to DocParser. Source: about 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
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 3 years 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 3 years ago
Bootstrap - Simple and flexible HTML, CSS, and JS for popular UI components and interactions
Nanonets - Worlds best image recognition, object detection and OCR APIs. NanoNetsโ platform makes it straightforward and fast to create highly accurate Deep Learning models.
Materialize CSS - A modern responsive front-end framework based on Material Design
Parseur.com - Automate text extraction from emails and PDFs by using our powerful email and document parser.
Semantic UI - A UI Component library implemented using a set of specifications designed around natural language
Rossum - Rossum is AI-powered, cloud-based invoice data capture service that speeds up invoice processing 6x, with up to 98% accuracy. It can be easily customized, integrated and scaled according to your company needs.