
Helm.sh
Kubernetes
Rancher
Docker Compose
Google App Engine
Amazon S3
Kustomize
AWS Elastic Beanstalk
DocParser
Nanonets
Parseur.com
Rossum
Docsumo
FlexiCapture
Amazon Textract
Parsio.io
DocParserBased on our record, Helm.sh seems to be a lot more popular than DocParser. While we know about 181 links to Helm.sh, we've tracked only 14 mentions of DocParser. 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 know there's no such thing as a unique name anymore, but https://helm.sh/ is rather popular. - Source: Hacker News / 3 months ago
Self-managed BYOC is the highest-control option. The vendor distributes their software as binaries, container images, Helm charts, or Terraform modules, and the customer's platform engineering team handles the full operational lifecycle. This model is common among organisations with strict air-gap or no-internet requirements, teams that need deep customisation of configuration and network topology, and regulated... - Source: dev.to / 4 months ago
Helm 4 is the most significant release since Tiller was removed. New templating engine, dependency resolution changes, and the question everyone's asking: what breaks? The maintainers themselves walk through the migration path. - Source: dev.to / 4 months ago
Ready to try it out? Getting started with the operator is straightforward. You can use a local Kubernetes cluster such as minikube or kind and use Helm for installation. - Source: dev.to / 8 months ago
To get to a working deployment of the proposed app, though, you would probably need to learn at least a dozen different k8s concepts. Hereโs a short list of what you might need: a Deployment to describe Pods in a ReplicaSet along with a Service, Ingress and Ingress Controller to hook up your domain. Helm to install Cert Manager so you can get SSL working. Youโll likely need to learn about plenty more along the way. - Source: dev.to / 8 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: about 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
Kubernetes - Kubernetes is an open source orchestration system for Docker containers
Nanonets - Worlds best image recognition, object detection and OCR APIs. NanoNetsโ platform makes it straightforward and fast to create highly accurate Deep Learning models.
Rancher - Open Source Platform for Running a Private Container Service
Parseur.com - Automate text extraction from emails and PDFs by using our powerful email and document parser.
Docker Compose - Define and run multi-container applications with Docker
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.