Apache Tomcat
Microsoft IIS
Apache HTTP Server
LiteSpeed Web Server
XAMPP
Forge
MAMP
Eclipse Jetty
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
Apache Tomcat NanonetsBased on our record, Apache Tomcat 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.
Manual instrumentation allows you to define your Spans within the code itself rather than relying on automatic instrumentation finding the entry point for a trace. Manual instrumentation is especially helpful for applications that don’t use an application server such as Tomcat, JBoss, or Jetty. - Source: dev.to / 5 months ago
99% is a huge exaggeration. Two essential deployment tools off the top of my head: Https://tomcat.apache.org/ Https://docs.jboss.org/author/display/AS71/Developer%20Guide.html. Source: about 1 year ago
Do we still enjoy it? We are running many Vaadin apps in production since that first one. If there are not any specific requirements we use a “modular monolith” concept, which fits our stack best. We pack applications as WAR and deploy them under Apache Tomcat. And yes, we enjoy the development process. It’s very straightforward and Vaadin and SpringBoot fit together well. - Source: dev.to / about 1 year ago
JasperReports Server Community requires a Java application server and a database to create a repository in order to work properly. After downloading JRS, the installation process can install Tomcat server and PostgreSQL database automatically for us and the services will run depending on the Jasper server. It's also possible to connect JRS to services already installed on the server. Moreover, while the free... - Source: dev.to / over 1 year ago
Don't use an installed copy of Tomcat. The layout can be different than expected and permission problems can appear at the worst time. For one, it needs to be able to write to that conf directory. Download a non-platform-specific "core" zip file from tomcat.apache.org instead. Source: over 1 year 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 IIS - Internet Information Services is a web server for Microsoft Windows
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.
LiteSpeed Web Server - LiteSpeed Web Server (LSWS) is a high-performance Apache drop-in replacement.
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.
