# Convert dense PDFs into LLM-ready text and page-aligned markdown with olmOCR

> Use olmOCR when an agent needs to turn scanned or layout-heavy documents into clean markdown or text before chunking, search, extraction, or citation workflows.

- Skill: `agentskillexchange/convert-dense-pdfs-into-llm-ready-text-and-page-aligned-mark` (Agent Skill)
- Install (CLI): `npx skillmds@latest add agentskillexchange/convert-dense-pdfs-into-llm-ready-text-and-page-aligned-mark`
- Raw SKILL.md: https://api.skillmd.com/api/skills/agentskillexchange/convert-dense-pdfs-into-llm-ready-text-and-page-aligned-mark/raw
- Safety review: pending (external: skill-scanner PASS, skillspector PASS)
- Works with: Claude Code, Claude.ai, OpenAI Codex
- Category: AI & ML
- Author: agentskillexchange (https://skillmd.com/u/agentskillexchange)
- Updated: 2026-09-08
- Page: https://skillmd.com/skills/agentskillexchange/convert-dense-pdfs-into-llm-ready-text-and-page-aligned-mark

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# Convert dense PDFs into LLM-ready text and page-aligned markdown with olmOCR

Use olmOCR when an agent needs to turn scanned or layout-heavy documents into clean markdown or text before chunking, search, extraction, or citation workflows.

## Prerequisites

Python 3.11, pip or conda, poppler-utils, optional NVIDIA GPU for local inference

## Installation

Use the upstream install or setup path that matches your environment:
- conda create -n olmocr python=3.11
- conda activate olmocr
- pip install olmocr
- pip install olmocr[gpu] --extra-index-url https://download.pytorch.org/whl/cu128

Requirements and caveats from upstream:
- (Based on a 7B parameter VLM, so it requires a GPU)
- June 17, 2025 - v0.1.75 - Switch from sglang to vllm based inference pipeline, updated docker image to CUDA 12.8.
- May 23, 2025 - v0.1.70 - Official docker support and images are now available! [See Docker usage](#using-docker)

Basic usage or getting-started notes:
- #### System Dependencies
- You will need to install poppler-utils and additional fonts for rendering PDF images.
- bash

- Source: https://github.com/allenai/olmocr
- Extracted from upstream docs: https://raw.githubusercontent.com/allenai/olmocr/HEAD/README.md

## Documentation

- https://github.com/allenai/olmocr#readme

## Source

- [Agent Skill Exchange](https://agentskillexchange.com/skills/convert-dense-pdfs-into-llm-ready-text-and-page-aligned-markdown-with-olmocr/)