gptpdf is an AI Agents & Automation tool that uses large visual models like GPT-4o to parse PDF files into markdown. It can accurately convert typography, math formulas, tables, pictures, and charts with an average cost of $0.013 per page.
gptpdf is an open-source tool designed to parse PDF files into markdown format using advanced large visual models such as GPT-4o. It leverages the PyMuPDF library to identify and mark non-text areas within PDFs, which are then processed by the AI model to generate highly accurate markdown output. The tool is capable of preserving complex elements like typography, mathematical formulas, tables, pictures, and charts. With a simple Python API, users can integrate gptpdf into their workflows, providing flexibility for custom prompts and model selection. It supports various OpenAI API-compatible models and offers options for verbose output and parallel processing to enhance efficiency. The average cost for parsing a page is approximately $0.013, making it an efficient solution for document conversion.
Best used for
Ideal for developers and data scientists who need to programmatically convert PDF documents into structured markdown, extract data from complex layouts, and automate document processing workflows. Especially valuable for integrating advanced PDF parsing capabilities into custom applications or data pipelines.
Common actions
parse PDFs
convert documents
extract data
automate document processing
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Capabilities
Key features
PDF to markdown conversion
Parse typography
Parse math formulas
Parse tables
Parse charts
OpenAI API integration
Custom prompt support
Target Audience
developerdata scientist
Integrations
Not yet documented
Pricing & Plans
Open Source · Usage-based
Free
FAQs
What is the average cost to parse a PDF page with gptpdf?
The average cost to parse a single page using gptpdf is approximately $0.013. This cost is associated with the usage of large visual models like GPT-4o through the OpenAI API, which gptpdf leverages for its parsing capabilities.
Can gptpdf handle complex PDF elements like tables and math formulas?
Yes, gptpdf is designed to almost perfectly parse complex elements such as typography, mathematical formulas, tables, pictures, and charts. It uses a combination of PyMuPDF for initial parsing and large visual models for detailed conversion to markdown.
Can I use gptpdf with models other than GPT-4o?
Yes, gptpdf supports any OpenAI API formatted multimodal large model. You can specify different models like qwen-vl-max or GLM-4V, and even configure it to work with Azure OpenAI by adjusting the base_url and API key settings.
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