An API server that converts PDFs, Office files and images into Markdown, JSON or text for RAG pipelines, using the Docling library on CPU. MIT licensed. The image is about 5 GB, the interactive UI is at /ui and the API docs at /docs. There is no login, so keep it private or behind an auth proxy.
This page describes the Levelrail template for Docling Serve (AI). It deploys the services below as one Docker Compose app on your own server. Project site: https://github.com/docling-project/docling-serve.
Recommended memory: about 3072 MiB.
Services, ports and volumes
Environment variables
Passwords and keys marked as generated are created for you when the app is deployed and stored as secrets. Values are not shown here.
Security and requirements
Level: Standard.
What this template needs:
- Nothing beyond a standard container: no extra privileges, host mounts or published ports.
What Levelrail adds around it:
- Automatic HTTPS and an ingress shield in front of every domain.
- Deploys are gated on the health check before traffic switches.
- One-step rollback to the previous revision.
- Exposure report shows what is reachable from outside.
- Host firewall rules managed for published ports.
Deploy Docling Serve with Levelrail
In the dashboard, open Apps, choose New app, then Browse templates, and select Docling Serve. Review the Compose body and deploy.
With the CLI:
See the service template catalog for how templates work, and Getting started if you have not installed Levelrail yet.
More AI templates
All templates are listed in the self-host gallery. Last modified on November 2, 2026
Get started
How-to guides
Reference
Concepts
Self-host gallery
Appendix