Self-Hosted Document Management in 2026: Paperless-ngx vs Docspell vs Mayan EDMS

Description and use

The guide establishes Paperless-ngx as the 'gold standard' for 95% of users due to its balance of features, ease of use, and active maintenance. It provides a production-ready Docker Compose configuration that integrates Redis, PostgreSQL, Gotenberg, and Tika to create a robust, private, and automated document management system.

Problem

Relying on commercial document storage SaaS (e.g., Evernote, Adobe Acrobat Cloud, Google Drive) involves severe trade-offs including privacy risks (data snooping/mining), subscription fatigue with aggressive pricing tiers, and proprietary metadata lock-in that prevents seamless export of structured search data.

Outcome

The guide establishes Paperless-ngx as the 'gold standard' for 95% of users due to its balance of features, ease of use, and active maintenance. It provides a production-ready Docker Compose configuration that integrates Redis, PostgreSQL, Gotenberg, and Tika to create a robust, private, and automated document management system.

Workflow

• Select an EDMS based on needs: Paperless-ngx for homelabs/SMBs, Docspell for multi-user teams, or Mayan EDMS for enterprise compliance.
• Set up a Docker Compose environment for Paperless-ngx including services for Redis (broker), PostgreSQL (db), Gotenberg (office conversion), and Apache Tika (text extraction).
• Configure environment variables for database credentials and service connections.
• Deploy the stack using Docker Compose, ensuring health checks for Redis and PostgreSQL are passing.
• Ingest documents via network shares, IMAP, REST API, or mobile companion apps.
• Utilize built-in ML classifiers for automated tagging and categorization.

Evidence

Paperless-ngx is by far the most popular and actively maintained open-source document management system.

Source

RAM Footprint (Idle): ~500 MB – 800 MB

Source

Relying on commercial document storage SaaS... comes with severe trade-offs: Privacy & Data Snooping, Subscription Fatigue, Proprietary Metadata Lock-in.

Source