Launch a private, searchable document archive in your own VPC in minutes - no manual setup. Paperless-ngx OCRs, indexes, and archives your scans and PDFs with 24/7 cloudimg support.
Real screenshots of this software running on the cloudimg image, taken while testing the deployment guide.
This is a repackaged open source software product wherein additional charges apply for cloudimg support services.
## Your Private, Searchable Document Archive - Running in Minutes
Paperless-ngx is the open source document management system trusted by a large and active community. Drop a scan or PDF into the consume directory and Paperless OCRs it, extracts the text, tags and indexes it, then archives a searchable original. This AMI delivers the complete platform fully installed and configured so you have a production-ready document archive within minutes of launch - no Docker Compose files, no dependency troubleshooting, and no manual database setup.
The current release available is Paperless-ngx 2.20.
## Why This AMI Over a DIY Deployment
## Application Stack
The granian webserver serves the bundled Angular frontend. A Celery worker and scheduler run the background task pipeline, and a consumer watches the input folder. PostgreSQL provides the database and Redis the task broker. The OCR pipeline is built on tesseract, Ghostscript, and OCRmyPDF. nginx terminates HTTP on port 80 and reverse-proxies the application.
## Security Posture
## Use Cases
## Getting Started
1. Launch the AMI on your preferred instance type (t3.medium or larger recommended).
2. Retrieve the generated administrator credentials from the root-only file.
3. Browse to the instance address, sign in, and begin uploading or scanning documents.
4. Configure consume-folder automation, OCR languages, or TLS termination as needed.
## cloudimg Support - 24/7
cloudimg provides around-the-clock technical support by email and live chat. Our engineers assist with deployment, upgrades, OCR language configuration, consume-folder automation, object storage integration, TLS termination, and database administration. Critical issues receive a one-hour average response time.
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