Xcode
Microsoft Visual Studio
IntelliJ IDEA
Android Studio
Visual Studio Code
Atom
Sublime Text
Eclipse
Nanonets
Docsumo
DocParser
Amazon Textract
Rossum
Dashblock
Tesseract
Base64.ai
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
Xcode NanonetsBased on our record, Xcode seems to be a lot more popular than Nanonets. While we know about 141 links to Xcode, 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.
Official Documentation: The Android Developers and Apple Developer websites are treasure troves for learning official APIs and best practices. Android Official Website | Apple Official Website. - Source: dev.to / 4 months ago
I'm running Sonoma 14.1.1, otherwise I'm just using the latest components available from developer.apple.com. Source: 5 months ago
Monetize your coding skills by creating and monetizing mobile apps or games. Join programs like Apple Developer Program, Google Play Console, and Amazon Appstore. - Source: dev.to / 6 months ago
1.2.1 Buy a 100$ apple developer certificate (idk if this works with 25$ certificates services)1.2.2 Sideload deezer using Sideloadly follow step 1.1.21.2.3 Login with your apple id on developer.apple.com1.2.4 Go to https://developer.apple.com/account/resources/identifiers/list (Only available if you already buy your own 100$ developer license)1.2.5 Find Deezer identifier click on the name "Deezer"1.2.6 The... Source: 10 months ago
Go to the Apple Developer website: https://developer.apple.com/ and sign in with your Apple ID. Source: 10 months ago
Want to automate repetitive manual tasks? Check our Nanonets workflow-based document processing software. Source: almost 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: almost 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: almost 2 years ago
Here is another company, which I just came across by accident, which do the same: https://nanonets.com/. Source: about 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
Microsoft Visual Studio - Microsoft Visual Studio is an integrated development environment (IDE) from Microsoft.
Docsumo - Extract Data from Unstructured Documents - Easily. Efficiently. Accurately.
IntelliJ IDEA - Capable and Ergonomic IDE for JVM
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.
Android Studio - Android development environment based on IntelliJ IDEA
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.