Nanonets
Docsumo
DocParser
DocuClipper
Rossum
Nanonets OCR
Invoice Data Extraction
Free Online OCR [Docsumo]
Insomnia REST
Postman
Hoppscotch
RapidAPI for Mac
soapUI
Thunder Client
cURL
HTTPie
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 Insomnia RESTNanonets is particularly recommended for businesses of all sizes that deal with large volumes of documents and require efficient data extraction and automation. Industries like finance, healthcare, logistics, and retail, which often handle invoices, forms, and contracts, can benefit significantly. It's also suitable for developers looking for an API solution to integrate OCR capabilities into their own applications.
Based on our record, Insomnia REST seems to be a lot more popular than Nanonets. While we know about 129 links to Insomnia REST, 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: 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
Test with Tools: Use tools like Postman or Insomnia to test API requests. - Source: dev.to / 4 months ago
Although Apidog is a popular REST client, you can also use others, such as Insomnia, RapidAPI for Mac, and Hoppscotch. - Source: dev.to / 5 months ago
The container directly run on the host I send the request so there's almost no network latency and I use Insomnia to measure the response time. - Source: dev.to / 6 months ago
To test the authentication endpoints, you can use a tool like Postman or Insomnia. - Source: dev.to / 8 months ago
Once this server is up and running locally, you can make a GET request using API testing tools like Insomnia to test whether things are working as expected. In this case, you're planning on logging a username from a form to test what the server logs look like. You add the data to match what your server is expecting and send the request. Doing so gives you a 200 OK and some text that says, "Data logged... - Source: dev.to / 8 months ago
Docsumo - Extract Data from Unstructured Documents - Easily. Efficiently. Accurately.
Postman - The Collaboration Platform for API Development
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.
Hoppscotch - Open source API development ecosystem
DocuClipper - Automate data extraction from bank statements, invoices, tax forms and more.
RapidAPI for Mac - Paw is a REST client for Mac.
