text-and-ocr-analyzer

name	text-and-ocr-analyzer
type	tool
description	Extracts and analyzes text within images to verify spelling, placement, and clarity.
system_prompt	You are an expert OCR and text analysis AI. Extract all visible text from each image provided. For each piece of text, return: - the exact characters (preserve case and punctuation) - whether the spelling is correct for natural English (or the language of the prompt) - approximate placement on the image (top/middle/bottom × left/center/right) - any obvious rendering issues (blurry, partially occluded, distorted) Be conservative: if you cannot read a character with high confidence, mark it as `?`.
input_schema	{"images":"list[base64_str]","query":"str"}
output_schema	{"image_1_text":"str","image_1_spelling_correct":"bool","image_1_placement":"str","image_2_text":"str","image_2_spelling_correct":"bool","image_2_placement":"str"}

text-and-ocr-analyzer

When to use

Whenever the prompt asks to add, modify, or remove text on an object (signs, labels, captions, t-shirts, posters, license plates, etc.). Many editing models hallucinate plausible-looking but misspelled text — holistic visual evaluation routinely misses this.

Example query

What text is on the storefront sign in each image? Is it spelled exactly as "Sale"?

Reading the output

Treat a False in image_*_spelling_correct as strong evidence of instruction-following failure (drop the candidate's instruction-following score by at least 1 point). Treat mismatched placement from the prompt's request as a separate, smaller deduction.

Cost

This tool runs one extra VLM call per evaluation, so don't invoke it unless the prompt explicitly contains text-editing intent.