Nanonets
Docsumo
DocParser
Amazon Textract
ABBYY FineReader
Tesseract
Base64.ai
Nanonets OCR
React
Vue.js
Next.js
Svelte
Tailwind CSS
Angular.io
AngularJS
Node.js
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
Nanonets ReactBased on our record, React seems to be a lot more popular than Nanonets. While we know about 781 links to React, 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.
Want to automate repetitive manual tasks? Check our Nanonets workflow-based document processing software. Source: about 2 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 2 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 2 years ago
Here is another company, which I just came across by accident, which do the same: https://nanonets.com/. Source: over 2 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 2 years ago
React - A JavaScript library for building user interfaces. - Source: dev.to / 11 days ago
On the back end, we worked to migrate data from Spark (a data processing engine) to a custom, in-house RETS (real estate transaction standard) aggregator, which helped dramatically grow the customer base. We also moved Agent Inbox to a hybrid solution using React.js and Ruby on Rails, replacing their single-page-application solution with server-side rendering to improve project stability and speed. (This move came... - Source: dev.to / 15 days ago
How to start using React components written in TypeScript using Ruby on Rails as a server with only built-in Rails features? There are a couple of ways we can achieve it with. - Source: dev.to / 15 days ago
It's time to write our second application, where there will be a list of schemes, processes, and a Workflow Designer with the ability to start a process and see its status. We will use create-react-app template to create a simple React application. Open your console and go to the folder react-example, then execute following commands:. - Source: dev.to / about 1 month ago
Let’s look at two technical solutions — RSCSS/ITCSS. This is indeed a perfect combination of instruments which we use in our projects built on React and Ruby on Rails. - Source: dev.to / about 1 month ago
Docsumo - Extract Data from Unstructured Documents - Easily. Efficiently. Accurately.
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.
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
