Take an OCR archive that already exists in Paperless-ngx and push smarter titles, tags, and document metadata back into it.
Scanned 6/8/2026
Install via CLI
openskills install agentskillexchange/skills---
name: "Enrich Paperless-ngx documents with AI-generated titles tags and correspondents using paperless-gpt"
slug: "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."
github_stars: 2256
verification: "security_reviewed"
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
Use the upstream install or setup path that matches your environment:
- git clone https://github.com/icereed/paperless-gpt.git
- docker build -t paperless-gpt .
- docker run -d \
Requirements and caveats from upstream:
- [](https://hub.docker.com/r/icereed/paperless-gpt)
- **Simple Docker Deployment**
- [Docker][docker-install] installed.
Basic usage or getting-started notes:
- A running instance of [paperless-ngx][paperless-ngx].
- Access to an LLM provider:
- **OpenAI**: An API key with models like gpt-4o or gpt-3.5-turbo.
- Source: https://github.com/icereed/paperless-gpt
- Extracted from upstream docs: https://raw.githubusercontent.com/icereed/paperless-gpt/HEAD/README.md
## 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/)
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