Nanonets
Docsumo
DocParser
Amazon Textract
Rossum
Dashblock
Tesseract
Base64.ai
Perl
Python
C++
Go Programming Language
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D (Programming Language)
Java
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
We recommend LibHunt Perl for discovery and comparisons of trending Perl projects.
NanonetsNanonets might be a bit more popular than Perl. We know about 6 links to it since March 2021 and only 5 links to Perl. 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 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
But what would be a better symbol? I just saw, that perl.org also has a littel camel face on the site :-). Source: 10 months ago
And just while I wrote this I saw this on perl.org which may be an interesting read (although I prefer writing some things in Bash despite being a 20 year+ perl user). Source: over 1 year ago
I'm going through the textbook "Beginning Perl" located at perl.org, and I'm having a confuse with one of the example questions. I'm supposed to determine the order of operations for 26 + 3 ^ 4 * 2. According to the precedence table in the textbook, + and * come before ^. So I think the answer should be ((26 + 3) ^ (4 * 2)), but the book says the answer is 26 + (3 ^ (4 * 2)). Can anyone help me figure out what... Source: almost 2 years ago
See "A regularly updated compendium of Perl IDEs to be hosted on perl.org" at https://grants.perlfoundation.org/. Source: almost 3 years ago
Use Net::Curl::Easier; Use Net::Curl::Promiser::Mojo; Use Mojo::Promise; My $easy1 = Net::Curl::Easier->new( url => 'http://perl.org', followlocation => 1, ); My $easy2 = Net::Curl::Easier->new( username => 'hal', userpwd => 'itsasecret', url => 'imap://mail.example.com/INBOX/;UID=123', ); My $easy3 = Net::Curl::Easier->new( username => 'hal', userpwd => 'itsasecret', url =>... - Source: dev.to / over 3 years ago
Docsumo - Extract Data from Unstructured Documents - Easily. Efficiently. Accurately.
Python - Python is a clear and powerful object-oriented programming language, comparable to Perl, Ruby, Scheme, or Java.
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.
C++ - Has imperative, object-oriented and generic programming features, while also providing the facilities for low level memory manipulation
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.
Go Programming Language - Go, also called golang, is a programming language initially developed at Google in 2007 by Robert...
