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 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, FlutterFlow should be more popular than Nanonets. It has been mentiond 14 times since March 2021. 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.
FlutterFlow brings the power of Flutter's native performance to no-code development, offering a unique compromise between coding and no-code tools. - Source: dev.to / 17 days ago
1. Sign Up: Begin by visiting the FlutterFlow website and signing up for an account. The free tier provides access to essential features, while paid plans unlock more advanced options. 2. Create a New Project: Once logged in, click on "Create New Project." FlutterFlow offers a variety of templates to choose from, or you can start from scratch to build a fully customized app. 3. Design Your User Interface: The... - Source: dev.to / 9 months ago
Created by former Google engineers Abel Mengistu and Alex Greaves, FlutterFlow is an online, browser-based app builder that allows users to create native cross-platform applications with no code. As a third-party visual app builder for the Flutter framework, it significantly accelerates the AI app development process. To know more, check out our previous blog: What is FlutterFlow: Top Features, Pros, Cons, and More. - Source: dev.to / 11 months ago
We're looking for people who are passionate about ML and DevTools and can get behind our mission: to help the world build great products. FlutterFlow (https://flutterflow.io was built by someone on our team in a matter of days. If you find unreasonable excitement in: - learning/growing and becoming more productive. - Source: Hacker News / over 1 year ago
Flutter Flow — Build your Flutter App UI without writing a single line of code. Also has a Firebase integration. The free plan includes full access to UI Builder and Free templates. - Source: dev.to / over 1 year ago
Want to automate repetitive manual tasks? Check our Nanonets workflow-based document processing software. Source: almost 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: almost 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: about 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
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