Claude has rapidly developed a reputation for its strong performance with long documents, especially in the context of PDF uploads, persistent workspace projects, and in-depth question answering. The core of Claude’s strength lies in its long-context model design and its explicit support for file uploads in both chat and developer APIs. However, the practical limits of what Claude can do with long PDFs are shaped by a combination of strict file size and page count constraints

Google Gemini is emerging as a leading platform for AI-driven document understanding, offering a sophisticated mix of computer vision and large language modeling that promises broad support for reading, extracting, and analyzing scanned documents. Yet the real-world experience of using Gemini for OCR (Optical Character Recognition) is shaped by its underlying multimodal architecture, the product environment in which it is deployed, and the specific demands of the workflow—ran