With Webhook.site, you instantly get a unique, random URL and e-mail address that you can use to test and debug Webhooks, HTTP requests and emails, as well as to create your own workflows using the Custom Actions graphical editor or WebhookScript–a simple scripting language, to transform, validate and process HTTP requests.
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
Webhook.site is recommended for developers, QA testers, and any IT professionals who need to test or demonstrate webhooks and HTTP requests. It is particularly beneficial for those working with APIs, developing webhook integrations, or setting up automated notification systems.
Nanonets 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, Webhook.site seems to be a lot more popular than Nanonets. While we know about 78 links to Webhook.site, 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.
A unique URL will be automatically generated for you (it looks like https://webhook.site/XXXXXXXX-XXXX-XXXX-XXXX-XXXXXXXXXXXX). - Source: dev.to / 17 days ago
Okay, let’s think. Since we don’t have access to email, we need to figure out another way to receive a message from the topic. How can we do that? What are the options to receive messages from SNS? We can use the following protocols to communicate with SNS: HTTP, HTTPS, email, email-json, SMS, SQS, application, Lambda, and Firehose. What if we set up an HTTP endpoint to receive messages? Webhooks, here we go!... - Source: dev.to / 21 days ago
The session token will be sent to a webhook, you can use services such as Webhook.site to receive the session code. - Source: dev.to / 27 days ago
## Asynchronous Callback Since generating images with Midjourney requires a waiting period, this API is also designed by default for long wait mode. However, in certain scenarios, long waits may incur additional resource overhead, so this API also provides an asynchronous Webhook callback method. When the image generation is successful or fails, the result will be sent to the specified Webhook callback URL via an... - Source: dev.to / about 1 month ago
You can also use tools like webhook.site to test your webhook and see the type of payload it sends. - Source: dev.to / 5 months ago
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
Beeceptor - Unblock yourself from API dependencies, and build & integrate with APIs fast. Beeceptor helps you build a mock Rest API in a few seconds.
Docsumo - Extract Data from Unstructured Documents - Easily. Efficiently. Accurately.
MockServer - Easy mocking of any system you integrate with via HTTP or HTTPS.
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.
Request inspector - Debug web hooks, http clients
DocuClipper - Automate data extraction from bank statements, invoices, tax forms and more.