Smart Document Management on a QNAP NAS with Paperless, GPT & Docker
Build an AI-powered document management system on your QNAP NAS using Paperless, GPT, and Docker Compose.
Managing paperwork can be a nightmare. Bills, contracts, receipts, forms—they pile up fast. That’s why I wanted a solution that not only digitizes my documents but makes them searchable, categorized, and even summarized with a bit of AI help. In this post, I’ll walk you through how I built a smart, AI-powered document management system on my QNAP NAS using Docker Compose. The backbone? Paperless-ngx, boosted with GPT capabilities, running entirely on local hardware.
Let’s dive in!
🧱 Tech Stack Overview
Here’s a quick breakdown of the components in this setup:
- Paperless-ngx: The main DMS—scans, OCRs, tags, and archives your documents.
- PostgreSQL: Stores metadata and app data for Paperless.
- Redis: Speeds up Paperless by caching and brokering background tasks.
- Apache Tika: Extracts text from PDFs and other file formats.
- Gotenberg: Converts office docs (Word, Excel, etc.) to PDF.
- Paperless-GPT: Adds intelligent tagging, summarization, and question answering with LLMs, the used model is
mistral-small3.2
. - Ollama: Local LLM runner for Paperless-GPT (supports LLaMA 3 and Minicpm-v).
- Paperless-AI: Adds AI-based document classification and OCR improvements using the
llama3.3:latest
model. - phpPgAdmin: Optional GUI to view/manage the PostgreSQL database.
🛠️ System Architecture Walkthrough
At the core is the docker-compose.yml
file that spins up everything in one go. Here’s the high-level structure:
paperless-ngx
connects topostgres
andredis
- Tika and Gotenberg are added as external services for document parsing
ollama
runs locally and serves the LLaMA 3 + Minicpm-v modelspaperless-gpt
sits between Paperless and Ollama for smart featurespaperless-ai
uses thellama3.3:latest
model for AI classification and document understanding- All services use shared volumes for easy data access and persistence
👉 Full Compose File: See full docker-compose.yml on GitHub Gist
🧠 Paperless-GPT + Paperless-AI + Ollama: AI That Works for You
Paperless-GPT
Paperless-GPT enables:
- OCR with LLM Model:
mistral-small3.2
- AI-generated tags and categories
It connects to Ollama, which runs models like LLaMA 3 and Minicpm-v locally—so no cloud dependency, no data leaving your NAS.
Paperless-AI
This component enhances document classification and tagging. It uses:
- LLM Model:
llama3.3:latest
Together, these models boost accuracy, detect layout structures, and offer smarter classification than basic OCR.
🛠️ Deployment Tips for QNAP NAS Users
Running Docker on QNAP is straightforward, but there are some things to watch out for:
- Use Container Station or SSH: Either use QNAP’s Container Station GUI or SSH into your NAS for full control.
- Volume mounts: Map your document folders like
/share/Container/paperless/data
,/media
, and/consume
to make documents available. - Port mapping: Avoid conflicts with existing NAS services—adjust
ports:
in Compose if needed. - Model downloads: LLaMA 3 and Minicpm-v are large. You may want to download them on a PC and copy them to your NAS.
- Memory matters: Ensure your NAS has enough RAM—8GB minimum recommended.
📄 Real-World Use Cases
This setup isn’t just for nerds like me. It can serve real needs:
- Personal Archiving: Digitize and search old letters, bills, medical records.
- Home Office: Store tax documents, invoices, contracts.
- Legal Practices: Use AI to summarize case files, find key points fast.
- Medical Offices: OCR for patient records, searchable notes.
It’s a system that grows with your needs and adapts with smarter AI features.
🔮 What’s Next?
Here are a few improvements I’m planning:
- Voice command integration ("Scan and tag this receipt")
- Multi-user support with permission roles
- Backup to cloud (encrypted!)
- Better mobile interface or integration with Nextcloud
🏁 Final Thoughts
Setting up a smart document system with AI on a QNAP NAS isn’t just possible—it’s powerful. With the combo of Paperless-ngx, Paperless-GPT, Paperless-AI, and Ollama, your documents are not just stored, they’re alive, searchable, and smart.
If you’re into self-hosting and want control and privacy over your data, this setup is totally worth it.
Happy scanning! 🧾️🤖