When you upload four separate images to ChatGPT, it processes them sequentially. The model looks at image 1, formulates a partial response, then looks at image 2, and so on. Important: it does NOT hold all four images in its 'visual working memory' simultaneously. This means it can miss relationships between images — the exact thing you're trying to analyze.

A grid changes the game. By combining four images into one, you force the model to see everything at once. The spatial relationship between images becomes part of the visual context. It can compare, contrast, and cross-reference without the context-switching penalty.

Because MergeFrame runs entirely in your browser using the Canvas API, your images never leave your device. No upload to a server. No account. No watermark. Just the grid you need, ready for AI analysis.

**Optimal Resolution Per AI Model:** Different models handle images differently. Here's what actually matters: GPT-4o processes images at ~2048px internally — export your grid at 2048×2048px max. Claude 3.5 Sonnet/Opus handles up to ~3000px on the longest side. Gemini 1.5 Pro accepts up to 3072×3072px. For document-heavy grids, push to 3000px. Gemini 2.0 Flash is optimized for speed — keep grids simple, 2×2 max.

**Cost Reduction: From 27 API Calls to 3.** If you're using the API, sending 9 images individually to GPT-4o costs 9 API calls for input. With a 3×3 grid, the same workflow takes 3 calls. That's an 89% reduction in API costs. For teams processing dozens of images daily, this saves hundreds of dollars per month.

**AI Image Preparation Best Practices:** Label your images before combining — add a simple label at the top of each screenshot. Order them left-to-right, top-to-bottom in reading order. Use consistent 2-4px gap between images. Avoid dark mode screenshots on dark backgrounds — set a light background in MergeFrame. One grid, one task — don't cram unrelated images together.