Image Tiler FAQs

Question 1

How does Image Tiler preserve image detail for AI models?

Accepted Answer

It reads your image dimensions and the target LLM's vision configuration, then calculates an optimal grid. It extracts these smaller tiles, ensuring each one stays within the model's maximum input resolution. This way, the LLM processes each tile at its original detail, preserving text and fine UI elements.

Question 2

Which LLM models does Image Tiler support for optimization?

Accepted Answer

Image Tiler supports major LLM vision models including Claude, OpenAI (specifically GPT-4o and o-series), and Gemini (including Gemini 3). It provides model-specific tiling parameters and vision token estimates, allowing you to choose the best configuration for your use case.

Question 3

Can I use Image Tiler to capture and analyze full web pages?

Accepted Answer

Yes, Image Tiler can capture full-page screenshots from any URL, automatically handling scroll-stitching for extremely long pages. After capture, it offers the same tiling and token estimation process, allowing you to feed detailed web page content to your LLM for comprehensive analysis.

Question 4

What is Image Tiler and why is it necessary for LLMs?

Accepted Answer

Image Tiler is a tool designed to prevent LLM vision models (like Claude, GPT-4o, and Gemini) from downscaling large images and screenshots. When you send oversized images to an LLM, they are often compressed, losing critical details. Image Tiler ensures every part of your image is processed at full resolution by intelligently splitting it into smaller, LLM-optimized tiles.

Question 5

Does Image Tiler estimate token costs for tiled images?

Accepted Answer

Absolutely. A key feature is its ability to compare and estimate tile counts and vision token costs for various supported LLM models. This helps you understand the impact on your token budget and select the most efficient model and tiling strategy for your detailed image analysis.

Image Tiler

Image Tiler

Key Features

Use Cases

Key Features

Use Cases