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
Simple scraper is the easiest way to scrape the web — turn any website into an API in seconds and use ready-made scraping recipes to scrape popular sites with ease.
Based on our record, Simple Scraper should be more popular than Nanonets. It has been mentiond 20 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.
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: almost 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
Making my data extraction Saas (https://simplescraper.io) more LLM friendly. Markdown extraction, improved Google search, workflows - search for this terms, visit the first N links, summarize etc. Big demand for (or rather, expectation of) this lately. - Source: Hacker News / 6 months ago
Things are much easier for one-person startups these days—it's a gift. I remember building a todo app as my first SaaS project, and choosing something called Stormpath for authentication. It subsequently shut down, forcing me to do a last-minute migration from a hostel in Japan using Nitrous Cloud IDE (which also shut down). Just pain upon pain.[1] Now, you can just pick a full-stack cloud service and run with it.... - Source: Hacker News / 11 months ago
Simplescraper — Trigger your webhook after each operation. The free plan includes 100 cloud scrape credits. - Source: dev.to / about 1 year ago
I run Simplescraper (https://simplescraper.io). Started in 2020 and it's now profitable. > Have any recent trends affected your business? Not really. People like data as much as ever. As a one-person biz, the main dilemma remains how to juggle development, marketing and support. Reaching a point where the price of context-switching to customer support is becoming a little too high. But that's easily fixable and... - Source: Hacker News / about 2 years ago
> perhaps you can simply ask the API to create Python or JS code that is deterministic, instead. Had a conversation last week with a customer that did exactly that - spent 15 minutes in chatGPT generating working Scrapy code. Neat to see people solve their own problem so easily but it doesn't yet erode our value. I run https://simplescraper.io and a lot of value is integrations,scale, proxies, scheduling,... - Source: Hacker News / about 2 years ago
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