
esbuild
Vite
Webpack
rollup.js
Parcel
Next.js
Node.js
React
DocParser
Nanonets
Parseur.com
Rossum
Docsumo
FlexiCapture
Amazon Textract
Parsio.io
esbuild
DocParserEsbuild is recommended for developers who work on large projects and need a bundler that can significantly reduce build times. It is ideal for those who prefer using cutting-edge tools and technologies in their workflow. Additionally, it's suitable for developers who need to support modern JavaScript features and are looking for a straightforward configuration process.
Based on our record, esbuild seems to be a lot more popular than DocParser. While we know about 153 links to esbuild, 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.
Vite uses esbuild written in Go, absurdly fast to pre-process your node_modules dependencies. - Source: dev.to / about 2 months ago
The Metadata section tells SAM how to build your TypeScript code. Instead of running tsc and bundling manually, SAM uses esbuild โ a JavaScript/TypeScript bundler. It compiles your TypeScript, minifies the output, generates sourcemaps for debugging, and packages it all up. You don't need to install esbuild yourself โ SAM handles it during sam build. - Source: dev.to / 2 months ago
The reality is simple: minification was never security. It's a size optimization that bundlers like esbuild, Webpack, and Rollup do by default. Variable renaming slows down human readers but LLMs read minified code like you read formatted code. - Source: dev.to / 3 months ago
Esbuild is written in Go and is 10-100x faster than JavaScript-based minifiers:. - Source: dev.to / 4 months ago
In the following sections, we will explore how does it do what it does using one such tool called esbuild. - Source: dev.to / 9 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
Vite - Next Generation Frontend Tooling
Nanonets - Worlds best image recognition, object detection and OCR APIs. NanoNetsโ platform makes it straightforward and fast to create highly accurate Deep Learning models.
Webpack - Webpack is a module bundler. Its main purpose is to bundle JavaScript files for usage in a browser, yet it is also capable of transforming, bundling, or packaging just about any resource or asset.
Parseur.com - Automate text extraction from emails and PDFs by using our powerful email and document parser.
rollup.js - Rollup is a module bundler for JavaScript which compiles small pieces of code into a larger piece such as application.
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.