Webpack
rollup.js
Parcel
Babel
npm
Vite
Grunt
esbuild
DocParser
Nanonets
Docsumo
Rossum
Parseur.com
Veryfi
Invoice Data Extraction
Nanonets OCR
Webpack DocParserBased on our record, Webpack seems to be a lot more popular than DocParser. While we know about 244 links to Webpack, 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.
Why are there so many JavaScript build tools? Gulp, Grunt, Webpack, Laravel Mix, Rollup.js, and now Vite. And these are just the ones that I've worked with. Haven't we solved this problem? And why build a new tool? Why not improve existing tools? - Source: dev.to / 11 days ago
To then serve to the browser. If I was using something like Vite or Webpack I would have gotten this handling for free. - Source: dev.to / 3 months ago
The JS code gets transpiled by tools like Babel, then bundled (often by Webpack) into a single or few files (like bundle.js). This optimizes the website to load faster, as the browser can fetch everything from one file instead of multiple. - Source: dev.to / 3 months ago
Remember that Webpack is highly configurable, and this article only scratches the surface of what's possible. Be sure to check the official Webpack documentation for more detailed information and advanced configurations. - Source: dev.to / 3 months ago
With Webpack 5, a new feature has helped microfrontends proliferate: Module Federation. Module Federation allows JavaScript code to be loaded — synchronously or asynchronously — at runtime. - Source: dev.to / 4 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: over 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
rollup.js - Rollup is a module bundler for JavaScript which compiles small pieces of code into a larger piece such as application.
Nanonets - Worlds best image recognition, object detection and OCR APIs. NanoNets’ platform makes it straightforward and fast to create highly accurate Deep Learning models.
Parcel - Blazing fast, zero configuration web application bundler
Docsumo - Extract Data from Unstructured Documents - Easily. Efficiently. Accurately.
Babel - Babel is a compiler for writing next generation JavaScript.
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.
