Paperless-ngx vs Mayan EDMS

Paperless-ngx — strengths

• Extremely quick to get running — working document inbox in under 15 minutes via the docker-compose example
• Smart auto-tagging and correspondent detection using machine learning on your own document history
• Clean, fast search UI — finding a document by full-text content or metadata is immediate
• Email-to-inbox ingestion means bills and statements land automatically without scanning
• Active community, frequent releases, excellent documentation

Paperless-ngx — weaknesses

• No document versioning
• No workflow or approval engine
• Fine-grained per-document ACLs are limited

Mayan EDMS — strengths

• Full document workflow engine — documents can move through defined states (draft → review → approved → archived) with per-state permissions
• Version history: every upload of a new file version is stored and retrievable
• Fine-grained ACL system: different users or groups can view, edit, or download specific document types or cabinets
• Plugin architecture supports customisation without forking
• Designed for regulated environments — audit log, retention policies, digitally-signed documents

Mayan EDMS — weaknesses

• More complex setup and operational overhead
• Heavier resource footprint
• UI is less intuitive than Paperless-ngx

When Paperless-ngx fits

• Household going paperless: all bills, insurance documents, and medical records dropped into a watched folder or emailed to an inbox address, OCR'd, auto-tagged, and searchable within seconds. Mayan's workflow machinery is overkill here.
• Freelancer or sole trader who needs to find any invoice or contract by client name, date, or amount without a physical folder: Paperless-ngx's correspondent + custom field system handles this without learning a document management platform.
• Home server with limited RAM running six other services: Paperless-ngx with the lightweight Tika container fits on a Pi 4 or a 4 GB VPS alongside everything else.

When Mayan EDMS fits

• Accounting department that needs an approval chain: invoices are uploaded, routed to an approver, marked as approved, and then filed — Mayan's workflow transitions enforce the sequence. Paperless-ngx has no equivalent.
• Legal firm managing contracts with version history: each negotiated revision is uploaded as a new version; the full history is retained and reviewable. Paperless-ngx would overwrite the previous file.
• Organisation with GDPR or records-retention requirements needing audit trails for who viewed or modified a document: Mayan's audit log satisfies this; Paperless-ngx does not have an equivalent.

Paperless-ngx gotchas

• No document versioning — each document has one current file; uploading a corrected version replaces the original unless you archive it manually first
• No workflow engine — if approval or review processes matter (a manager signs off expense receipts before filing), you need a separate tool
• Bulk imports are possible but slow on large archives; OCR processing is CPU-bound and initial ingestion of thousands of scanned PDFs takes time
• The GPT-based correspondent suggestion is useful but sometimes misfires on unusual document layouts — review auto-tags before relying on them

Mayan EDMS gotchas

• Significantly more complex to set up and maintain — multiple Celery workers, Redis, and a heavier Django application than Paperless-ngx
• UI can feel dated and less intuitive compared to Paperless-ngx's clean modern interface
• Resource usage scales with worker count — running enough workers for responsive OCR on a small server eats into available RAM
• Documentation is thorough but dense — expect a steeper learning curve than Paperless-ngx for initial configuration

Choose Paperless-ngx when

Pick Paperless-ngx if your goal is a personal or household paperless inbox — fast ingestion, OCR, search, and auto-tagging without workflow complexity. It is also the right pick for small offices with simple document filing needs.

Choose Mayan EDMS when

Pick Mayan EDMS if you need document workflows, approval chains, full version history, fine-grained ACLs, or audit trails — use cases that arise in regulated industries, legal offices, or organisations where document accountability matters.

Migration

Both store documents as files on disk alongside a database of metadata. Migrating from Paperless-ngx to Mayan means exporting documents via the Paperless REST API (which returns file + metadata JSON), then importing them into Mayan via its importer or REST API, and rebuilding correspondents as Mayan contacts and tags as Mayan tags. The reverse direction is similar. Expect a per-document rebuild of custom fields and metadata, as the two schemas differ. For large archives (thousands of documents), use the REST APIs with a small script rather than manual UI work.

Frequently asked questions

Can Paperless-ngx do version control?

No. Each document has a single current file. If you need versioning, Mayan EDMS or a general-purpose DMS with versioning (like Alfresco) is the right tool.

Which has better OCR?

Both use Tesseract under the hood, so OCR quality is similar. Paperless-ngx adds Gotenberg and Apache Tika for richer file format support (Office documents, spreadsheets). For pure scanned-PDF quality, both are equivalent.

Can I run Paperless-ngx for home and Mayan for work on the same server?

Yes — they are independent containers with different ports and databases. Resource contention is the main concern; Mayan's workers are hungry and will compete with Paperless on a memory-constrained box.

Is Mayan EDMS suitable for a home user?

It works but it is overkill. The setup complexity, resource footprint, and learning curve are not justified for a personal paperless inbox. Paperless-ngx does the home use case better with a fraction of the effort.

Does Paperless-ngx have an API?

Yes — a REST API that supports document CRUD, tag management, and search. It is well-documented and actively used by home automation integrations (Home Assistant, Zapier, n8n).

Which handles scanned handwriting?

Neither well — Tesseract is trained primarily on printed text. Handwriting OCR requires models like Google Vision or AWS Textract. Both Paperless-ngx and Mayan can integrate external OCR results via their APIs.