OpenAI API Now Works with PDF Files: A Game-Changer for Document Processing

March 25, 2025

2 minutes

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OpenAI announced that its API now supports PDF files as direct input. This new feature, available for vision-capable models like GPT-4o, GPT-4o-mini, and o1, allows developers to leverage AI for more comprehensive document analysis and information extraction.

How the PDF Support Works

According to OpenAI's documentation, when a PDF is processed, the system intelligently extracts both the text content and visual information from each page. This dual-input approach enables the models to interpret diagrams, charts, and other visual elements that might contain crucial information not captured in the text alone.

"This is particularly useful when diagrams contain key information that isn't represented in the text," explains OpenAI in their official documentation, highlighting the feature's value for technical documents, research papers, and illustrated reports.

Implementation Options for Developers

OpenAI provides two primary methods for developers to utilize this new capability:

  1. File upload API: Users can upload PDF files through OpenAI's Files API or dashboard, receiving a file ID that can be referenced in subsequent API calls.

  2. Base64 encoding: Alternatively, developers can directly include Base64-encoded PDF data within their API requests, eliminating the need for separate file storage.

Both methods integrate seamlessly with OpenAI's existing Chat Completions endpoint, maintaining compatibility with current workflows while expanding input capabilities, as confirmed in the platform's technical documentation.

Technical Considerations and Limitations

While this feature represents a significant advancement, OpenAI has outlined several important considerations for implementation:

  • Token usage: Because the system processes both text and images from each page, PDF inputs can consume significantly more tokens than plain text, affecting pricing and usage limits. Developer forum posts confirm this increased consumption is a key consideration for implementation planning.

  • File size constraints: Current limitations restrict uploads to 100 pages and 32MB total content per request across all file inputs, as specified in OpenAI's platform guidelines.

  • Model compatibility: Only models with multimodal capabilities (text and image processing) support PDF inputs, including GPT-4o, GPT-4o-mini, and o1, consistent with capabilities announced during OpenAI's model releases.

Industry Impact and Context

This development comes amid increasing industry demand for AI systems that can process real-world documents in their native formats. Previously, developers needed to implement custom extraction systems to convert PDFs into text or images before processing with AI models.

Valeriia Kuka

Valeriia Kuka, Head of Content at Learn Prompting, is passionate about making AI and ML accessible. Valeriia previously grew a 60K+ follower AI-focused social media account, earning reposts from Stanford NLP, Amazon Research, Hugging Face, and AI researchers. She has also worked with AI/ML newsletters and global communities with 100K+ members and authored clear and concise explainers and historical articles.


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