---
title: "Enrich Paperless-ngx documents with AI-generated titles tags and correspondents using paperless-gpt"
description: "Take an OCR archive that already exists in Paperless-ngx and push smarter titles, tags, and document metadata back into it."
verification: "listed"
source: "https://github.com/icereed/paperless-gpt"
author: "icereed"
publisher_type: "individual"
category:
  - "Data Extraction & Transformation"
framework:
  - "Multi-Framework"
tool_ecosystem:
  github_repo: "icereed/paperless-gpt"
  github_stars: 2256
---

# 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.

## Prerequisites

Paperless-ngx instance access, paperless-gpt runtime, supported LLM provider credentials, OCRed document archive

## Installation

Choose whichever fits your setup:

1. Copy this skill folder into your local skills directory.
2. Clone the repo and symlink or copy the skill into your agent workspace.
3. Add the repo as a git submodule if you manage shared skills centrally.
4. Install it through your internal provisioning or packaging workflow.
5. Download the folder directly from GitHub and place it in your skills collection.

Install command or upstream instructions:

```
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.
```

## Documentation

- https://github.com/icereed/paperless-gpt

## Source

- [Agent Skill Exchange](https://agentskillexchange.com/skills/enrich-paperless-ngx-documents-with-ai-generated-titles-tags-and-correspondents-using-paperless-gpt/)