Svelte
Vue.js
React
Tailwind CSS
Next.js
Preact.js
Vite
Angular.io
Nanonets
DocParser
Docsumo
Rossum
Veryfi
DocuClipper
Nanonets OCR
Invoice Data Extraction
We recommend LibHunt Svelte for discovery and comparisons of trending Svelte projects.
NanoNets is a Deep Learning web platform that makes it easier than ever before to use Deep Learning in practical applications. It combines the convenience of a web-based platform with Deep Learning models to create image recognition and object classification applications for your business. You can easily build and integrate deep learning models using NanoNets’ API. You can also work with our pre-trained models which have been trained on huge datasets and return accurate results. NanoNets has leveraged recent advances in Deep Learning to build rich representations of data which are transferable across tasks. It’s as simple as uploading your input, generating the output and getting a functioning and highly accurate Deep Learning model for your AI needs. NanoNets is revolutionary because it allows you to train models without large datasets. With just 100 images you can train a model on our platform to detect features and classify images with a high degree of accuracy. NanoNets benefits you in four important ways: ● It reduces the amount of data needed to build a Deep Learning Model ● NanoNets handles the infrastructure for hosting and training the model, and for the run time ● It reduces the cost of running deep learning models by sharing infrastructure across models ● It is possible for anyone to build a deep learning model
Svelte NanonetsNanonets is particularly recommended for businesses of all sizes that deal with large volumes of documents and require efficient data extraction and automation. Industries like finance, healthcare, logistics, and retail, which often handle invoices, forms, and contracts, can benefit significantly. It's also suitable for developers looking for an API solution to integrate OCR capabilities into their own applications.
Based on our record, Svelte seems to be a lot more popular than Nanonets. While we know about 393 links to Svelte, we've tracked only 6 mentions of Nanonets. 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.
Svelte continues to earn a reputation as the joy-to-work-with framework due to its lightweight nature, elegant syntax, and compile-time reactivity. It is often used for side projects, hobby apps, and small websites, but Svelte isn’t just for passion projects. - Source: dev.to / 7 days ago
The first time I visited https://svelte.dev , the non-flat-vector banner instantly won me. It just stands out from the world around it. I just sort of assumed the engineering was superior to the competition if they were going to lead with crimped metal (and was right). Flat design has always struck me as an extremist response to an issue. Windows Vista required everyone to be on the same page design-language wise... - Source: Hacker News / 24 days ago
Svelte as the main framework. (Whimsy is my first Svelte project, actually! And Svelte didn't disappoint. Almost.). - Source: dev.to / 27 days ago
We're going to build our Svelte application using the Svelte REPL sandbox (or just REPL) at svelte.dev. I recommend checking out all the great documentation at svelte.dev, like its Examples section showcasing Svelte's many features, as well as the cool interactive tutorial at learn.svelte.dev. - Source: dev.to / 28 days ago
In theory, “de-frameworking yourself” is cool, but in practice, it’ll just lead to you building what effectively is your own ad hoc less battle-tested, probably less secure, and likely less performant de facto framework. I’m not convinced it’s worth it. If you want something à la KISS[0][0], just use Svelte/SvelteKit[1][1]. Nowadays, the primary exception I see to my point here is if your goal is to better... - Source: Hacker News / about 1 month ago
Want to automate repetitive manual tasks? Check our Nanonets workflow-based document processing software. Source: about 3 years ago
Nanonets is a no-code, workflow-based, and AI-enhanced intelligent document processing platform. It automates all document processes and is built on a robust, intelligent, self-learning OCR API that allows users to extract required data from documents in minutes. Source: about 3 years ago
Check out our website here https://nanonets.com/ for more. We also have some free tools where you can experience our product for free (like https://nanonets.com/online-ocr). Source: about 3 years ago
Here is another company, which I just came across by accident, which do the same: https://nanonets.com/. Source: over 3 years ago
We will be using Python3.6+, Django web framework, Nanonets for character extraction from an image, Cloudinary for image storage and Google Search API for performing the searches. - Source: dev.to / over 3 years ago
Vue.js - Reactive Components for Modern Web Interfaces
DocParser - Extract data from PDF files & automate your workflow with our reliable document parsing software. Convert PDF files to Excel, JSON or update apps with webhooks.
React - A JavaScript library for building user interfaces
Docsumo - Extract Data from Unstructured Documents - Easily. Efficiently. Accurately.
Tailwind CSS - A utility-first CSS framework for rapidly building custom user interfaces.
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.
