Image Analyzer Testing With TestMu AI

TestMu AI tests an image agent by submitting prompts or images and scoring the returned output against the prompt and any criteria you define. Each image gets a Quality Score from 0 to 100, plus a breakdown of what matched and what did not. It covers image generation, content moderation, and photo validation.

You upload images by file or URL, define what a correct image looks like, and the platform scores them. A single run analyzes up to 50 images, which suits regression testing after a model update.

Features

Image Analysis. Upload single images or batch-process up to 50 at once, by file upload, URL, or drag and drop. Supported formats are JPG, JPEG, PNG, GIF, WEBP, and BMP, with a maximum of 20 MB per image.

Custom Evaluation Criteria. Score images against your own rules, in three types, each toggleable active or inactive:

Brand guidelines: allowed and prohibited colors, required fonts, and logo requirements.
Technical specifications: dimensions (width by height), aspect ratio, allowed formats, maximum file size, and minimum resolution.
Custom rules: freeform rule text and checklist items.

All criteria support create, edit, delete, and search by name, description, or type.

Analysis History. Search past analyses by image name or prompt, track status (Pending, Completed, Failed), open any analysis for full results, and bookmark important ones.

Analytics Dashboard. View overall statistics (average, highest, and lowest score, and total count), a 30-day quality trend with a daily bar chart, and the top 20 prompts ranked by average score.

Metrics

Each image is scored on a single Quality Score from 0 to 100, plus a set of qualitative outputs.

Metric	Scale	What it measures
Quality Score	0 to 100	Overall image quality and prompt adherence
Matches	List	Elements that correctly match the original prompt
Discrepancies	List	Missing or incorrect elements versus the prompt
Overall Assessment	Text	Summary of how well the image matches the prompt
Detailed Observations	Text	In-depth analysis of specific image aspects

Quality Score bands: 90 to 100 excellent, 80 to 89 good, 60 to 79 fair, and 0 to 59 poor. For each active custom criterion, results show a Pass, Fail, or Partial status with compliance details.