TurboDoc transforms invoice management with AI-driven precision, saving you hours, cutting errors, and boosting efficiency. Secure, intuitive, and designed for small companies that value time and accuracy!
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 NanoNetsโ 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. Itโs 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: โ It reduces the amount of data needed to build a Deep Learning Model โ NanoNets handles the infrastructure for hosting and training the model, and for the run time โ It reduces the cost of running deep learning models by sharing infrastructure across models โ It is possible for anyone to build a deep learning model
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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.
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Based on our record, Nanonets should be more popular than TurboDoc.io. It has been mentiond 6 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.
- How much revenue have they brought in? Then, at the end of the year, when you're planning out your year ahead, you can use these metrics to find which customers are worth focusing on or who you might consider dropping if you are fortunate enough to be overloaded. This feature, plus everything else, will be designed to be as unobtrusive as possible while giving you value when needed. The various payment options... - Source: Hacker News / 9 months ago
As a former freelancer, I have a couple of questions because I struggle to see the value in validated ideas (perhaps itโs just me, and youโve conducted a significant number of interviews for research): Customer Health Scores: How would these scores be tracked? I feel that, at some point, freelancers naturally act as salespeople and already have a sense of the state of their relationships with clients. However, I... - Source: Hacker News / 9 months ago
Want to automate repetitive manual tasks? Check our Nanonets workflow-based document processing software. Source: over 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: over 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: over 3 years ago
Here is another company, which I just came across by accident, which do the same: https://nanonets.com/. Source: over 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 / about 4 years ago
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