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
OCR API provides picture analysis and text recognition of both - printed documents and handwritten manuscripts.
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Based on our record, Api4.ai OCR API should be more popular than Nanonets. It has been mentiond 10 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.
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
AI-powered Optical Character Recognition (OCR) offers a solution by automating the extraction of data from paper documents, enabling faster and more accurate processing. With AI-OCR, vast quantities of healthcare paperwork — whether patient records or insurance forms — can be scanned and digitized almost instantly. This automation dramatically reduces the time needed for tasks like insurance approvals, billing,... - Source: dev.to / 7 months ago
Language should not hinder anyone from enjoying culture, and with AI-based accessibility solutions, museums can offer multilingual support to improve the visitor experience. By combining image recognition with optical character recognition (OCR), AI can automatically detect and translate exhibit labels, signs, and descriptions into the visitor’s chosen language. - Source: dev.to / 7 months ago
Accessibility is a critical consideration in today’s educational landscape, and AI-powered Optical Character Recognition (OCR) plays a major role in making learning materials more accessible to all students. OCR technology converts printed or handwritten text into digital formats that can be utilized by screen readers, braille devices, or other assistive tools. - Source: dev.to / 7 months ago
Construction projects generate a vast amount of paperwork, from inspection reports to progress updates. Manually managing these documents is often time-consuming, prone to error, and tedious. Optical Character Recognition (OCR) technology, a key feature of image processing APIs, automates this process by scanning and digitizing on-site paperwork. OCR enables teams to quickly convert physical documents into... - Source: dev.to / 7 months ago
Optical Character Recognition (OCR): Converts text within images into machine-readable data, enabling quick and precise extraction and analysis of label details. - Source: dev.to / 8 months ago
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