Nanonets
Docsumo
DocParser
Amazon Textract
ABBYY FineReader
Tesseract
Base64.ai
Nanonets OCR
GitHub Pages
Vercel
Jekyll
Netlify
Neocities
surge.sh
GitHub
Hugo
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 GitHub PagesBased on our record, GitHub Pages seems to be a lot more popular than Nanonets. While we know about 468 links to GitHub Pages, 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 / almost 3 years ago
I moved my blog from WordPress to GitLab Pages in... 2016. I'm happy with the solution. However, I used GitHub Pages when I was teaching for both the courses and the exercises, e.g., Java EE. At the time, there was no GitHub Actions: I used Travis CI to build and deploy. - Source: dev.to / 10 days ago
You can deploy to Github Pages in under 2 minutes by following their documentation. - Source: dev.to / about 2 months ago
For this application, Elm controlled the routing. So, I had to adapt the scripts to deploy to Netlify instead of GitHub Pages. Why? Because you need to be able to tell the web server to redirect all relevant requests to the application. GitHub Pages doesn't have support for it. - Source: dev.to / 2 months ago
It's super easy to publish a static site like the resume with GitHub Pages. Just check out the docs. - Source: dev.to / 3 months ago
GitHub Pages: Host your static websites directly from your GitHub repository. - Source: dev.to / 4 months ago
Docsumo - Extract Data from Unstructured Documents - Easily. Efficiently. Accurately.
Vercel - Vercel is the platform for frontend developers, providing the speed and reliability innovators need to create at the moment of inspiration.
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.
Jekyll - Jekyll is a simple, blog aware, static site generator.
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.
Netlify - Build, deploy and host your static site or app with a drag and drop interface and automatic delpoys from GitHub or Bitbucket
