Based on our record, React seems to be a lot more popular than DocParser. While we know about 775 links to React, 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.
For this project, there is a frontend built with React hosted on Netlify, connected to the backend. - Source: dev.to / about 1 month ago
React: A JavaScript library for building user interfaces. - Source: dev.to / about 2 months ago
In this article we have seen a practical guide to using HTTP streaming for efficient data visualization in Next.js web applications. We have explored how create and customize an instance of ReadableStream, creating a Response object specialization that accepts it as a result body. To test we have used a NextJS Route Handler. Additionally, to consume data chunk over http, we have developed a... - Source: dev.to / 2 months ago
React is a JavaScript library for building user interfaces. React gives you a template language and some function hooks to render HTML. Your bundles of HTML/JavaScript are called "components". - Source: dev.to / 3 months ago
When dealing with frontend libraries or frameworks such as React, using the Fullscreen API directly may be difficult because of the way the framework handles the DOM. In scenarios like this, you can opt for an external library, such as react-full-screen, to handle full-screen logic. This enables you to elegantly implement full-screen functionality on a React component. - Source: dev.to / 3 months ago
You could try an online service like https://extract-io.web.app/ or https://docparser.com/. Source: 11 months 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: 12 months 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 1 year 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 1 year 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 1 year ago
Vue.js - Reactive Components for Modern Web Interfaces
FlexiCapture - ABBYY FlexiCapture brings together the best NLP, machine learning, and advanced recognition capabilities into a single, enterprise-scale platform to handle every type of document. Available in the Cloud, on premise or as SDK.
Next.js - A small framework for server-rendered universal JavaScript apps
Amazon Textract - Easily extract text and data from virtually any document using Amazon Textract. Textract goes beyond simple optical character recognition (OCR) to also identify the contents of fields in forms and information stored in tables.
Svelte - Cybernetically enhanced web apps
Docsumo - Extract Data from Unstructured Documents - Easily. Efficiently. Accurately.