Tailwind CSS
Bootstrap
React
Tailwind UI
Bulma
Vue.js
DaisyUI
Vercel
DocParser
Nanonets
Parseur.com
Rossum
Docsumo
FlexiCapture
Amazon Textract
Parsio.io
Tailwind CSS
DocParserI use it in all my current projects. It's easy to start and very customisable. Love it so much! I improved the speed of development 2x times by using Tailwind.
Based on our record, Tailwind CSS seems to be a lot more popular than DocParser. While we know about 1062 links to Tailwind CSS, 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.
UIAble is a free, open-source UI component library built with Tailwind CSS, Shadcn-style architecture, and Base UI principles. The idea is straightforward: reusable components should stay flexible, readable, and easy to maintain. - Source: dev.to / 12 days ago
eBay: 30+ fields (item specifics, variations, shipping) Each schema is a JSON file defining field names, data types, and validation rules. The mapper walks source โ target assignments and applies type coercion (string โ number, date formatting, etc.) before export. The entire app stays under 200 KB gzipped by avoiding heavy UI libraries. It's built with Preact + htm (no JSX build step) and styled with Tailwind CSS... - Source: dev.to / about 1 month ago
In this tutorial, we'll build a real-world admin dashboard component using Tailwind CSS, based on the AdminOS template. You'll learn essential Tailwind concepts while creating something useful. - Source: dev.to / about 2 months ago
Packages/ui โ shared component library built with Tailwind v4, consumed directly from source by both Next.js apps. - Source: dev.to / about 2 months ago
Tailwind CSS provides us with a token-based design system for CSS that allows us to flexibly design our pages. - Source: dev.to / 2 months 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.
React - A JavaScript library for building user interfaces
Parseur.com - Automate text extraction from emails and PDFs by using our powerful email and document parser.
Tailwind UI - Beautiful UI components by the creators of Tailwind CSS.
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.