nginx
Apache Tomcat
Apache HTTP Server
Oracle WebLogic
AWS Elastic Load Balancing
Traefik
lighttpd
Haproxy
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
NanonetsBased on our record, nginx should be more popular than Nanonets. It has been mentiond 46 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.
Can’t find any changelog other than this, > nginx-1.26.0 stable version has been released, incorporating new features and bug fixes from the 1.25.x mainline branch — including experimental HTTP/3 support, HTTP/2 on a per-server basis, virtual servers in the stream module, passing stream connections to listen sockets, and more https://nginx.org/. - Source: Hacker News / 11 days ago
However, it's very unlikely that .NET developers will directly expose their Kestrel-based web apps to the internet. Typically, we use other popular web servers like Nginx, Traefik, and Caddy to act as a reverse-proxy in front of Kestrel for various reasons:. - Source: dev.to / 2 months ago
So at least the servers that host https://nginx.org are not down. - Source: Hacker News / about 1 month ago
> curl www.mydomain.com Welcome to nginx! Html { color-scheme: light dark; } Body { width: 35em; margin: 0 auto; Font-family: Tahoma, Verdana, Arial, sans-serif; } Welcome to nginx! If you see this page,... - Source: dev.to / 3 months ago
APISIX is an API Gateway. It builds upon OpenResty, a Lua layer built on top of the famous nginx reverse-proxy. APISIX adds abstractions to the mix, e.g., Route, Service, Upstream, and offers a plugin-based architecture. - Source: dev.to / 5 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
Apache Tomcat - An open source software implementation of the Java Servlet and JavaServer Pages technologies
Docsumo - Extract Data from Unstructured Documents - Easily. Efficiently. Accurately.
Apache HTTP Server - Apache httpd has been the most popular web server on the Internet since April 1996
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.
Oracle WebLogic - Receive a complimentary technical review and consultation on moving your Oracle WebLogic Server applications into containers.
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.
