Payload CMS
Webflow
WordPress
Strapi
Pixelesq
Webiny
Directus
Contentful
Nanonets
DocParser
Docsumo
Rossum
DocuClipper
Nanonets OCR
Invoice Data Extraction
Veryfi
Built with React + TypeScript, Payload is a free and open-source Headless CMS. Finally, a CMS that works the way you do. No black magic, all TypeScript, and fully open-source.
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
Payload CMS NanonetsNanonets 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.
Payload CMS is the most customizable & flexible CMS which exists
Based on our record, Payload CMS seems to be a lot more popular than Nanonets. While we know about 91 links to Payload CMS, 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.
Payload, a CMS powered by Next.js, or Sveltia CMS, a Decap CMS alternative using Svelte, are examples of CMS that I recommend to avoid until they become framework agnostic. - Source: dev.to / 2 months ago
Learn how to implement a custom tagging system in Payload CMS using the array field and a custom React component! This video walks you through building a dynamic tag input where users can add, remove, and manage tags directly within the Payload admin panel. - Source: dev.to / 3 months ago
This post details a proof-of-concept integration of Firebase Authentication with Payload CMS, focusing on the client-side implementation using Next.js. The goal is to allow users to authenticate via Firebase's various sign-in methods and then use the resulting Firebase ID token to securely access data and functionality within a Payload CMS instance. This is a work in progress, and I welcome feedback and... - Source: dev.to / 3 months ago
Check out https://swissknife.cc/! I made a super fast image compressor that can handle up to 40 images at once, though it can do far more if needed. I'm currently limiting it to 40 images to explore the limits. It supports JPEG and PNG formats, making it perfect for social media and web use. Built entirely with Next.js and Payload (a headless CMS https://payloadcms.com/). This is just one of many tools we'll be... - Source: Hacker News / 4 months ago
One of the most critical features for enterprise solutions is real-time data updates—whether for dashboards, notifications, or live collaboration. While Payload CMS doesn’t natively support WebSockets (yet), I put together a solution to enable real-time updates today! - Source: dev.to / 4 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
Webflow - Build dynamic, responsive websites in your browser. Launch with a click. Or export your squeaky-clean code to host wherever you'd like. Discover the professional website builder made for designers.
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.
WordPress - WordPress is web software you can use to create a beautiful website or blog. We like to say that WordPress is both free and priceless at the same time.
Docsumo - Extract Data from Unstructured Documents - Easily. Efficiently. Accurately.
Strapi - Manage any content. Anywhere. The leading open-source headless CMS. 100% JavaScript / TypeScript and fully customizable.
Rossum - Rossum is AI-powered, cloud-based invoice data capture service that speeds up invoice processing 6x, with up to 98% accuracy. It can be easily customized, integrated and scaled according to your company needs.