ExpressJS
Node.js
Ruby on Rails
Django
Laravel
Flask
ASP.NET
Meteor
DocParser
Nanonets
Docsumo
Rossum
Parseur.com
Invoice Data Extraction
Nanonets OCR
DocuClipper
ExpressJS DocParserNo ExpressJS videos yet. You could help us improve this page by suggesting one.
Based on our record, ExpressJS seems to be a lot more popular than DocParser. While we know about 469 links to ExpressJS, 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.
Express.js was created around the time callbacks were _the_ architecture in Node.js. The world, including UI, quickly found callbacks do not compose well, and void return values are hard to test because of side-effects. Promises were created so you could compose functions, but still have control where your side-effects go. This negates the need for middlewares / callbacks. - Source: dev.to / 6 days ago
The Devvit team just announced a new experimental way to build WebView based apps for Reddit. Previously only static HTML/JS/CSS could be used. With this new version, it is possible to run server-side code through Node including spinning up an Express server. - Source: dev.to / 10 days ago
Basic knowledge of JavaScript and Express. - Source: dev.to / 12 days ago
The basis of my small API proxy is the NPM package http-proxy-middleware from Steven Chim, which I utilized to build a system that can be used via configuration for various endpoints and that runs on a server under the Node.js framework Express. - Source: dev.to / 27 days ago
Express Documentation This site has comprehensive guides on setting up routes, handling requests, and working with middleware in Express. - Source: dev.to / about 2 months ago
You could try an online service like https://extract-io.web.app/ or https://docparser.com/. Source: almost 2 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 2 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: about 2 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: about 2 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 2 years ago
Node.js - Node.js is a platform built on Chrome's JavaScript runtime for easily building fast, scalable network applications
Nanonets - Worlds best image recognition, object detection and OCR APIs. NanoNets’ platform makes it straightforward and fast to create highly accurate Deep Learning models.
Ruby on Rails - Ruby on Rails is an open source full-stack web application framework for the Ruby programming...
Docsumo - Extract Data from Unstructured Documents - Easily. Efficiently. Accurately.
Django - The Web framework for perfectionists with deadlines
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.
