Nanonets
DocParser
Docsumo
Rossum
Veryfi
DocuClipper
Nanonets OCR
Invoice Data Extraction
npm
Yarn
Webpack
Brunch
Ender
GNU Make
JSPM
RequireJS
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 npmNanonets 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, npm seems to be a lot more popular than Nanonets. While we know about 65 links to npm, 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 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
Check on NPM website: Visit https://npmjs.com/package/your-package-name. - Source: dev.to / 6 days ago
If your WASM code is self contained in Rust, you can build it in production mode and publish it on npmjs.com right now. The wasm-pack tool creates all the TypeScript types, package.json skeleton and anything else needed for a complete package. It is recommended that you review and update your package.json file prior to publishing. - Source: dev.to / 5 months ago
First, I signed up for an account on npmjs.com and authenticated my npm CLI with my account using a "publish" type access token generated from the website. - Source: dev.to / 7 months ago
Congratulations,now you package on npm you can check using go npmjs check your profile. - Source: dev.to / 11 months ago
To begin, you will need to choose a name for your package. Note: Your package name must be unique. Using the exact or similar name of an existing package will return an error when publishing the package to npm. To ensure the uniquenesses of your package name, head over to npmjs.com and search for any existing packages with a similar name. If there’s an exact match or a similar name, consider changing the name... - Source: dev.to / about 1 year ago
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.
Yarn - Yarn is a package manager for your code.
Docsumo - Extract Data from Unstructured Documents - Easily. Efficiently. Accurately.
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.
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.
Brunch - Brunch builds, lints, compiles, concatenates and shrinks your HTML5 app in an ultra-simple way. No more Grunt / Gulp mess.