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

Name: Convert dense PDFs into LLM-ready text and page-aligned markdown with olmOCR
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Author: agentskillexchange

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.

agentskillexchange Updated Sep 8, 2026 28 repo stars

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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

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

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

File contents

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

Prerequisites

Installation

System Dependencies

Documentation

Source

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