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Paperless-ai System Requirements (CPU, RAM, Disk)

System requirements for Paperless-ai: CPU, RAM, and disk space.

Paperless-ai is an intelligent automated document analyzer that integrates directly with Paperless-ngx to automatically analyze, tag, and categorize your documents using AI. It supports multiple AI backends including OpenAI API, Ollama (local LLMs), Deepseek-r1, Azure OpenAI, and any OpenAI-compatible API. The tool features a RAG-ready setup with vector database integration, full-text search capabilities, and multi-language document analysis. It can generate contextual tags, detect document types, recognize content patterns, and automatically organize incoming documents into the right categories. Paperless-ai runs completely self-hosted via Docker, ensuring your document data never leaves your infrastructure. With 5.8K GitHub stars and 5.7M Docker pulls, it is a mature, well-adopted solution for automating document workflows.

Requirements · Paperless-ai

Min vCPU
1
Min RAM
1,024 MB
Min Disk
10 GB
Rec vCPU
2
Rec RAM
2,048 MB
Rec Disk
20 GB

See the full tool page: Paperless-ai →