Paperless AI is an AI-powered extension for Paperless-NGX that enables automatic document classification, intelligent tagging, and semantic search using Retrieval-Augmented Generation (RAG).
Trusted by leading companies
Paperless AI is an AI-powered extension for Paperless-NGX that enables automatic document classification, intelligent tagging, and semantic search using Retrieval-Augmented Generation (RAG).
With support for Ollama, OpenAI, DeepSeek, Azure and many more AI models, it fully automates your document workflows. Ask questions in natural language and get precise answers from your entire document archive.
We install, host and operate Paperless AI for your business - either on our secure, GDPR-compliant infrastructure in Germany or other locations, or on-premise in your own environment.
With 24/7 monitoring, enterprise support, backups and professional maintenance, we ensure maximum availability and reliable operation of your Paperless AI instance.
Automatically detects new documents and analyzes content. Intelligently assigns titles, tags, document types, and correspondents.
Supports Ollama (Mistral, Llama, Phi-3, Gemma-2), OpenAI, DeepSeek, Azure OpenAI, Perplexity, Together.ai, LiteLLM, VLLM, Gemini and more.
Retrieval-Augmented Generation enables semantic search across your entire document collection with full context understanding.
Ask questions in natural language: 'When did I sign my rental agreement?' or 'Which documents mention my health insurance?'
AI-powered automatic assignment of tags, correspondents, and document types based on content and context.
Search by meaning, not just keywords. Finds relevant documents even without exact matches.
Web interface for manual AI-assisted document analysis. Useful for sensitive documents requiring individual review.
Define rules for automatic processing. Disable prompts and apply tags automatically.
Self-hosted with Ollama integration - your documents stay on your server. Or use OpenAI-compatible APIs according to your privacy requirements.
See how simple and efficient Paperless AI works in practice. From installation to productive use.
Professional installation on your infrastructure – on-premise, cloud or hybrid
In your data center
AWS, Azure, Hetzner & more
High-availability setup with comprehensive security and compliance features
AI automatically analyzes and classifies documents with tags, types and correspondents
On-premise AI with Ollama – your sensitive documents never leave your infrastructure
Combine different AI models for optimal results with different document types
Find documents through natural questions instead of keywords: "When did I sign my rental agreement?"
Chat with your document archive and receive precise answers with source references
Perfect for companies with high document volumes and complex classification requirements
Secure access and access control for your installation
WireGuard, NetBird or Tailscale
Keycloak, Authentik, Azure AD
TOTP, WebAuthn, YubiKey
Fail2Ban, Rate Limiting, IP Whitelisting
We set up secure VPN access to your installation – ideal for remote work and external employees.
Full-service installation with no hidden costs
Paperless-AI extends Paperless-ngx with LLM capabilities. We develop custom pipelines for your specific document types.
Via the Paperless API we control the entire workflow: Document ingest, tag assignment, metadata extraction.
Custom hooks for post-processing: After AI analysis, further actions can be triggered (archiving, notification).
We optimize LLM prompts for your document types: Invoices, contracts, correspondence – each type needs specific prompting.
How we implement Paperless-AI development in practice.
Incoming invoices must be manually transferred to accounting. Error-prone and time-consuming.
LLM extracts structured data (amount, VAT, supplier, IBAN) and pushes to DATEV/SAP.
Lawyers must check every new contract for critical clauses. Not feasible at volume.
AI analysis automatically marking risk clauses (liability, notice periods, jurisdiction) and flagging for review.
Incoming mail (scanned) must be manually assigned to the right department.
AI classifies letters by content and routes automatically: Complaints to support, applications to HR, invoices to finance.
Open source enterprise-ready for productive workloads - we run your applications with highest security standards and enterprise support
Open source software for business-critical processes requires professional maintenance, continuous updates, and enterprise-grade support. With our Paperless AI Enterprise Managed Hosting, you get the necessary infrastructure and support to reliably operate open source in production environments. Backups, SLAs, telephone support, and personal contact - so you can focus on your core business.
We also offer customized Paperless AI Enterprise solutions for your specific requirements. Contact us for an individual quote.
Good choice – we'll help you get started or with operations.
As a Managed Service customer at WZ-IT, you have access to our exclusive portal: Monitor your infrastructure in real-time, schedule maintenance, request quotes, and get direct support – all in one central location.
Paperless-AI is an open-source extension for Paperless-NGX. It adds AI-powered functions to document management: automatic document analysis, intelligent tagging, semantic search, and question/answer functionality based on your documents.
Including: automatic detection of new documents, AI analysis of content, automatic assignment of metadata (title, tags, document type, correspondent), semantic search, chat/Q&A function across documents, manual and automatic processing modes, and support for many AI backends (local or cloud).
Paperless-AI is compatible with OpenAI and numerous OpenAI-compatible endpoints as well as local models via e.g. Ollama. This gives users the choice between cloud models and complete data sovereignty.
Yes — Paperless-AI extends Paperless-NGX. Without a running Paperless-NGX installation, Paperless-AI will not work.
Typically via Docker or Docker-Compose: You clone the Paperless-AI repository, configure the URL and API token of your Paperless-NGX instance, select an AI backend, and start the container. Once the system is running, automatic analysis and chat functions are available.
Yes — both newly imported documents and existing documents can be analyzed by Paperless-AI and provided with metadata.
Yes — in addition to auto mode, there is a manual mode via a web interface where you can specifically select and review documents.
Significantly less time spent on tagging and classification, better consistency in metadata, faster and more precise search, easy retrievability, and a higher degree of automation — ideal for large document volumes.
Yes — especially when using local models (e.g., via Ollama). This keeps your documents and metadata local, with no dependency on external cloud services. With our AI Cube, you can run AI inference completely locally in your network — fully GDPR compliant.
Yes — Paperless-AI can easily be operated on your own infrastructure. When you run document processing with Paperless-AI on your own hardware, e.g., with our AI Cube, all documents and analyses remain local in your network. This avoids cloud dependencies, maintains complete data sovereignty, and meets GDPR requirements.
Yes — Paperless-AI provides a modern web user interface where you can configure settings, manually process documents, and use the AI chat.
Yes — Paperless-AI can also be installed on a Synology NAS (if Docker is supported) and thus works in many home or small business environments.
When using cloud models, document contents are sent to external providers at least temporarily — this can be privacy-relevant. Local models are more privacy-friendly but require sufficient hardware resources. Our AI Cube provides the necessary GPU power for local AI inference. A backup before the first AI analysis is also recommended.
For companies, organizations, or individuals with large document collections who want to automate their processes — e.g., archives, law firms, accounting, insurance companies, or anyone who regularly processes documents.
Yes — with semantic search and the chat/Q&A function, you can ask questions to the document archive ('When was our last invoice from company X?', 'Which contracts expire next year?' etc.) — not just simple keyword search.
Very flexible — you can set rules for which documents are automatically analyzed, define output tags, choose the AI model, and select manual or automatic processing.
Paperless-NGX itself supports PDFs, images, texts, and Office documents; Paperless-AI takes over their content and analyzes it — allowing intelligent management of various document types.
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These solutions are often used together with Paperless AI
These solutions offer similar functionalities and can be evaluated together
Whether a specific IT challenge or just an idea – we look forward to the exchange. In a brief conversation, we'll evaluate together if and how your project fits with WZ-IT.
Trusted by leading companies
Timo Wevelsiep & Robin Zins
CEOs of WZ-IT
