Supabase
Firebase
Next.js
AppWrite
Vercel
Hasura
Strapi
Etebase
Nanonets
Docsumo
DocParser
Amazon Textract
ABBYY FineReader
Tesseract
Base64.ai
Rossum
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
Supabase NanonetsBased on our record, Supabase seems to be a lot more popular than Nanonets. While we know about 433 links to Supabase, 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.
Subpabase - Like Planetscale this is only for databases. It is an open source Firebase alternative for building secure and performant Postgres backends with minimal configuration. - Source: dev.to / 3 days ago
If you are new to postgres or if you are a frontend heavy developer who is currently relying on supabase to have a magic backend appearing out of nowhere, or maybe you are just someone who likes to read stuff and in that case I have something to share with you! - Source: dev.to / 6 days ago
Supabase is a backend as a service visual platform that allows you to create postgres DB with minimum code. Their documentation is so good that it feels like home and you can get your project online in no matter of time. - Source: dev.to / 18 days ago
It was a great experience using Supabase’s rock-solid PostgreSQL database for this app. The DX around that product is phenomenal: viewing and managing the DB data was a lifesaver when you don’t want to craft your own admin panel from scratch. - Source: dev.to / 21 days ago
I didn't really give much thought as to which backend I would use. I already had 2 projects in Supabase (BOXCUT & MineWork), but also a few projects in Firebase too. I was more concerned at the time at actually building the product. - Source: dev.to / 30 days ago
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: about 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
Firebase - Firebase is a cloud service designed to power real-time, collaborative applications for mobile and web.
Docsumo - Extract Data from Unstructured Documents - Easily. Efficiently. Accurately.
Next.js - A small framework for server-rendered universal JavaScript apps
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.
AppWrite - Appwrite provides web and mobile developers with a set of easy-to-use and integrate REST APIs to manage their core backend needs.
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.
