New: Cookbooks and AI ExplanationsStep-by-Step recipes to solve problems connected to Roadmaps and Cheat Sheets. Need more details? Use AI buttons for structured and simple explanations with concrete examples throughout the whole platform.Take a look
A chart label too small to read, and the model just guessing at what it says.
What you'll have at the end
A tool the model can call to crop and magnify a region, tested on a label it first read wrong.
You need
You already have a vision-capable model wired into your own code that takes an image and a question and returns a text answer, and you know how to give that model a tool it can call mid-conversation and hand a result back to.
Not covered
Running a separate text-detection or OCR model outside the vision model entirely, a different fix worth reaching for when nearly every reading on the chart is small, well beyond the one or two labels a targeted crop can reach.
Leans on
Cut a vision call's token cost by resizing images first
when the whole image is oversized rather than one small region being illegible, resize the whole photo down instead of building a zoom tool for it.
A vision model gets the chart's arithmetic confidently wrong
when the model reads every number on the chart fine and only the arithmetic on them goes wrong, the fix is doing the math in code, not zooming into anything.
Checked 15 Aug 2026
Part of the Multimodal AI cookbook