Skill Detail
Enrich Paperless-ngx documents with AI-generated titles tags and correspondents using paperless-gpt
Take an OCR archive that already exists in Paperless-ngx and push smarter titles, tags, and document metadata back into it.
Data Extraction & TransformationMulti-Framework
Data Extraction & Transformation
Multi-Framework
Security Reviewed
⭐ 2.3k GitHub stars
INSTALL WITH ANY AGENT
npx skills add agentskillexchange/skills --skill enrich-paperless-ngx-documents-with-ai-generated-titles-tags-and-correspondents-using-paperless-gpt
Works best when you want a reusable capability, not another fragile one-off prompt.
At a glance
Tools required
Paperless-ngx instance access, paperless-gpt runtime, supported LLM provider credentials, OCRed document archive
Install & setup
Deploy paperless-gpt with the repository Docker or local runtime path, connect it to the target Paperless-ngx instance and model provider, then run the documented metadata enrichment workflow against existing documents.
Author
icereed
Publisher
Individual
Last updated
Apr 15, 2026
Quick brief
Use paperless-gpt when an agent needs to improve document metadata inside an existing Paperless-ngx archive instead of using Paperless-ngx as a general document management system. The operator workflow is narrow and clear: inspect OCRed documents, call an LLM-backed enrichment pass, and write back better titles, tags, correspondents, and related metadata. That keeps the scope on archive enrichment, not on listing the Paperless platform itself.