Combine Images for ChatGPT Vision Analysis

GPT-4o's vision capabilities are state-of-the-art, but the user experience has a critical limitation: images uploaded separately are analyzed independently, not relationally. When you ask 'compare these two designs,' the model sees two disconnected inputs rather than one unified visual context. A merged grid solves this at the input layer. MergeFrame composites 2–9 images into one grid that GPT-4o processes as a single image with rich spatial structure. The model can now compare, contrast, and identify relationships between panels naturally. Proven use cases: UI design comparison (2×2 grid of mockups), data visualization analysis (1×3 grid of charts), product quality inspection (3×3 batch), document analysis (1×2 side-by-side pages). For best results, add visible cell borders (1–2px) and describe the grid layout in your prompt: 'This is a 2×2 grid showing four UI mockups. Top-left is the current design, top-right is variant A...'. All processing happens locally — your images never leave your device.