Coolify
Railway
Netlify
Heroku
Render UIKit
Vercel
DigitalOcean
CapRover
DocParser
Nanonets
Parseur.com
Rossum
Docsumo
FlexiCapture
Amazon Textract
Parsio.io
Coolify DocParserBased on our record, Coolify should be more popular than DocParser. It has been mentiond 96 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.
Coolify puts those tasks behind a web interface. It is an open-source, self-hosted platform for deploying applications and databases to infrastructure you control. - Source: dev.to / 5 days ago
That's the gap Coolify walks into. It promises the thing a lot of teams have been quietly thinking: why pay $20 per seat or $25 per process to a US platform when a $6 server hosts the same app? The answer isn't "never" and it isn't "always." It's a calculation โ and that calculation has one line item both sides conveniently leave off the landing page. - Source: dev.to / 7 days ago
Install Coolify (free, open source) on a VPS and deploy Memos from its catalog. You get a web UI and auto-updates, but Coolify itself wants ~2 GB of RAM, which is heavier than the app it is managing. Worth it only if you are already running Coolify for other apps. - Source: dev.to / about 1 month ago
Coolify is a self-hosted PaaS. Deploy from git, automatic SSL, databases โ basically Vercel/Heroku but on your own $5/month VPS. - Source: dev.to / 4 months ago
Before getting to know why we switch from cloud to coolify, ask yourself "what is the cloud?". - Source: dev.to / 5 months ago
You could try an online service like https://extract-io.web.app/ or https://docparser.com/. Source: about 3 years ago
DocParser: DocParser simplifies the extraction of structured data from various file formats, such as PDFs and scanned documents, directly into Google Sheets. By automating this process, DocParser saves valuable time and effort otherwise spent on manual data entry. Link to DocParser. Source: about 3 years ago
There are several tools available today that can help you extract tables from PDF files (such as Tabula), or even parse PDFs into structured JSON using AI (like Parsio -> I'm the founder) or without AI (like Docparser). Source: over 3 years ago
Thank you for sharing those! I didn't know them I've only checked this one https://docparser.com/ and I think my solution could be better because it will be easier for the user. Source: over 3 years ago
As previously suggested, if the layout of your PDFs never changes (consistent column widths in tables and placement), you can use a zonal PDF parser like DocParser. Alternatively, an AI-powered parser may be a better choice. Source: over 3 years ago
Railway - Made for any language, for projects big and small.
Nanonets - Worlds best image recognition, object detection and OCR APIs. NanoNetsโ platform makes it straightforward and fast to create highly accurate Deep Learning models.
Netlify - Build, deploy and host your static site or app with a drag and drop interface and automatic delpoys from GitHub or Bitbucket
Parseur.com - Automate text extraction from emails and PDFs by using our powerful email and document parser.
Heroku - Agile deployment platform for Ruby, Node.js, Clojure, Java, Python, and Scala. Setup takes only minutes and deploys are instant through git. Leave tedious server maintenance to Heroku and focus on your code.
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.