GitHub Pages
Vercel
Jekyll
Netlify
Neocities
surge.sh
GitHub
Hugo
Docsumo
DocParser
Nanonets OCR
Amazon Textract
Nanonets
Pen2txt
Pen to Print
Rossum
Docsumo is an intelligent document processing platform for financial services firms. Docsumo helps businesses and enterprises extract data from documents, analyze that data and detect document fraud.
Docsumo’s technology reduces back-office costs by up to 70% and increases productivity by 50%. For every million documents processed by a bank at about $1 per document, DocSumo can directly save $700k. What differentiates Docsumo is that their technology can read non-standardised documents such as bank statements, invoices, pay stubs and contracts with over 99% accuracy and more than 95% straight-through processing.
Docsumo features include:-
✅Data Capture from forms, semi-structured and unstructured financial documents ✅Pre-Trained API stack for loan application, insurance compliance, invoices, supply chain management, and Commercial Real Estate applications ✅Review & edit tool that allows you to click on any text in a document to capture data without manual entry ✅Out of the box API endpoint (accessible via Settings page) & option to download CSV ✅Multiple learning mechanism to ensure maximum accuracy ✅Simple pay as you go pricing ✅Ability to customize fields from the frontend ✅Define templates for recurring documents ✅Self-train neural network on your dataset
Choose Docsumo, if you want to:- - Automate the document data extraction end-to-end - Efficiently scale your process and your business eliminating manual data entry - Reduce risk by validating data
GitHub Pages DocsumoBased on our record, GitHub Pages seems to be a lot more popular than Docsumo. While we know about 468 links to GitHub Pages, we've tracked only 2 mentions of Docsumo. 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.
I moved my blog from WordPress to GitLab Pages in... 2016. I'm happy with the solution. However, I used GitHub Pages when I was teaching for both the courses and the exercises, e.g., Java EE. At the time, there was no GitHub Actions: I used Travis CI to build and deploy. - Source: dev.to / 12 days ago
You can deploy to Github Pages in under 2 minutes by following their documentation. - Source: dev.to / about 2 months ago
For this application, Elm controlled the routing. So, I had to adapt the scripts to deploy to Netlify instead of GitHub Pages. Why? Because you need to be able to tell the web server to redirect all relevant requests to the application. GitHub Pages doesn't have support for it. - Source: dev.to / 2 months ago
It's super easy to publish a static site like the resume with GitHub Pages. Just check out the docs. - Source: dev.to / 3 months ago
GitHub Pages: Host your static websites directly from your GitHub repository. - Source: dev.to / 4 months ago
Aayush here from Docsumo.com, we are a Document AI platform that empowers tech & ops teams to scale operations effortlessly by capturing, validating & analyzing unstructured documents. We recently raised $3.5 Million from Marquee investors. Source: over 1 year ago
Check out our website https://docsumo.com/ and blog https://docsumo.com/blog for more details. Source: almost 2 years ago
Vercel - Vercel is the platform for frontend developers, providing the speed and reliability innovators need to create at the moment of inspiration.
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.
Jekyll - Jekyll is a simple, blog aware, static site generator.
Nanonets OCR - Intelligent text extraction using OCR and deep learning
Netlify - Build, deploy and host your static site or app with a drag and drop interface and automatic delpoys from GitHub or Bitbucket
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.