
Nest.js
ExpressJS
Next.js
Adonis JS
FeathersJS
Node.js
Sails.js
Koa.js
DocParser
Nanonets
Parseur.com
Rossum
Docsumo
FlexiCapture
DocuClipper
Parsio.io
Nest.js
DocParserBased on our record, Nest.js seems to be a lot more popular than DocParser. While we know about 234 links to Nest.js, 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.
If you follow a strict domain model, and propagate changes to other aggregates through events, you can adhere to the above criteria. You're probably writing Java, C#, or JS with Nest (which really, really wants to be Java). - Source: dev.to / 2 months ago
Apps/api โ NestJS backend, ingests GitHub webhooks, hosts auth endpoints Each app runs on a different port in dev, deploys to a different platform, and has its own scaling profile. - Source: dev.to / 3 months ago
NestJS is the closest thing to Spring Boot in the TypeScript world. Dependency injection, decorators, modules, guards, pipes โ it gives you strong opinions about architecture. - Source: dev.to / 5 months ago
I started my career doing ~20 years of C# from pretty much the very beginning (JavaScript even before then!). Around 2020, I switched into the startup space and quickly picked up TypeScript since that's "what the kids use". It wasn't without struggles, but once I wrapped my head around TypeScript as "shapes for JavaScript", it clicked. At the time, the startup was undertaking a new product on Nest.js[0] which... - Source: Hacker News / 6 months ago
In my full time job, we use NestJS with Prisma in the Backend and Vue.js on the Frontend. - Source: dev.to / 6 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
ExpressJS - Sinatra inspired web development framework for node.js -- insanely fast, flexible, and simple
Nanonets - Worlds best image recognition, object detection and OCR APIs. NanoNetsโ platform makes it straightforward and fast to create highly accurate Deep Learning models.
Next.js - A small framework for server-rendered universal JavaScript apps
Parseur.com - Automate text extraction from emails and PDFs by using our powerful email and document parser.
Adonis JS - AdonisJs is a Node.js web framework with breath of fresh air and drizzle of elegant syntax on top of it
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.