GPT-4.5, like its predecessor GPT-4, is a powerful AI model developed by OpenAI. While GPT-4 has shown capabilities in handling both text and image analysis through its multimodal version, GPT-4 Vision, the standard GPT-4 and GPT-4.5 models are primarily text-based. They can process text within PDFs effectively but may struggle with analyzing diagrams or images directly.
GPT-4 Vision for PDF Analysis
GPT-4 Vision is specifically designed to handle both text and image inputs, making it suitable for analyzing PDFs that contain diagrams. It can describe images, summarize text from screenshots, and answer questions that include diagrams[1]. However, GPT-4 Vision is not the default model for GPT-4 or GPT-4.5; it is a specialized version.
Limitations of Standard GPT-4 and GPT-4.5
The standard GPT-4 and GPT-4.5 models are not optimized for image analysis. They can process text within PDFs but may not consistently understand or analyze diagrams or images. For tasks involving diagrams, users often rely on external tools like OCR (Optical Character Recognition) to convert images into text, which can then be analyzed by GPT-4 or GPT-4.5[1][3].
Approach for Analyzing PDFs with Diagrams
To analyze PDFs with diagrams using GPT-4 or GPT-4.5, you could follow these steps:
1. Convert Images to Text: Use OCR tools like Tesseract to convert images within the PDF into machine-readable text. This step is crucial for extracting information from diagrams or tables that contain text.
2. Integrate with LangChain: Utilize frameworks like LangChain to process and analyze the extracted text. LangChain can help in segmenting the text, storing it, and retrieving relevant information efficiently[1].
3. Use GPT-4 Vision: If possible, use GPT-4 Vision for tasks that require direct image analysis. This model can handle both text and images seamlessly, making it ideal for PDFs with diagrams[1].
In summary, while GPT-4.5 itself does not directly support the analysis of diagrams in PDFs, combining it with external tools like OCR and specialized models like GPT-4 Vision can provide a comprehensive solution for such tasks.
Citations:
[1] https://www.reveation.io/blog/gpt4v-for-pdf-analysis
[2] https://pmc.ncbi.nlm.nih.gov/articles/PMC11184879/
[3] https://www.reddit.com/r/ChatGPTPro/comments/1b84mlx/how_good_is_gpt4_or_gpt4_turbo_at_analyzing_pdf/
[4] https://aclanthology.org/2023.findings-emnlp.637.pdf
[5] https://cdn.openai.com/gpt-4-5-system-card.pdf
[6] https://community.openai.com/t/what-are-the-limitations-of-gpt-4-in-analyzing-pdf-text/534760
[7] https://platform.openai.com/docs/models
[8] https://community.openai.com/t/can-you-explain-how-to-analyze-a-pdf-file-in-gpt-4/107334