Sinatra
Ruby on Rails
ASP.NET
Flask
ExpressJS
Koa.js
Hanami
ember.js
DocParser
Nanonets
Parseur.com
Rossum
Docsumo
FlexiCapture
Amazon Textract
Parsio.io
Sinatra DocParserBased on our record, Sinatra should be more popular than DocParser. It has been mentiond 40 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.
Yeah, I believe Sinatra https://sinatrarb.com/ or Padrino https://padrinorb.com/ inspired Hono. So you are back to Ruby ;). - Source: Hacker News / over 1 year ago
Now because we are using Sinatra as our server, we would need a way to dynamically define new endpoints from the file. Sinatra is a DSL for quickly creating web applications in Ruby with minimal effort. - Source: dev.to / over 1 year ago
Something like https://sinatrarb.com/ for rust would be cool. - Source: Hacker News / almost 2 years ago
While Ruby is not this famous anymore, I still wanted the stack in my architecture. I eschewed Ruby on Rails in favor of the leaner Sinatra framework. I use sequel for database access. The dynamic nature of the language was a bit of a hurdle, which is why it took me more time to develop my service than with Go. - Source: dev.to / about 2 years ago
Sinatra is a lightweight web application framework written in Ruby. It provides a simple and easy-to-use syntax for building web applications. The framework focuses on being minimalistic, allowing developers to quickly create web applications without having to deal with a lot of the boilerplate code and relatively rigid way of doing things that accompany larger and more popular frameworks like Rails. - Source: dev.to / over 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
Ruby on Rails - Ruby on Rails is an open source full-stack web application framework for the Ruby programming...
Nanonets - Worlds best image recognition, object detection and OCR APIs. NanoNetsโ platform makes it straightforward and fast to create highly accurate Deep Learning models.
ASP.NET - ASP.NET is a free web framework for building great Web sites and Web applications using HTML, CSS and JavaScript.
Parseur.com - Automate text extraction from emails and PDFs by using our powerful email and document parser.
Flask - a microframework for Python based on Werkzeug, Jinja 2 and good intentions.
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.