You are
Your goal
Upload one photo and this free AI body rater returns a 1-100 score, broken into body fat, muscle, proportions, and goal fit - with the one change that would move it most.
Read a physique check
A physique check combines a headline score, four sub-scores and written feedback about the submitted photo. The body-fat sub-score is a rating of visible leanness; it is not a body-fat percentage. Read the feedback with the image and its confidence level.
For the next check-in, keep the same pose, camera height, light direction and selected goal. Review several comparable dates before interpreting a small score movement. Use the progress-photo pose guide to make that repeatable, or read a real app report with its fields explained.
The scale
These labels describe the bands used by this tool. They are not population percentiles or health thresholds. We have not published a representative study showing how most lifters score.
Method
Body fat scores how lean you read, anchored to your sex - female ranges sit roughly 8-10 points higher than male ranges at the same visual leanness, which is why picking your sex changes the result more than anything else you can set.
Muscle judges development for your frame - shoulder cap, chest fullness, arm and back thickness - independently of how lean you are, so a genuinely thick build scores well here even under a softer layer. Proportions reads taper, upper-to-lower balance, and symmetry. Goal fit asks whether your current physique is positioned for the goal you picked: someone lean who wants to build muscle scores high, someone who should cut first scores lower.
The overall score weights body fat and muscle most heavily, then proportions, then goal fit. It is the same four-part framework the app score guide explains. The app also offers separate, detailed estimates for 12 muscle groups across the relevant poses.
Honesty
A casual photo carries real error. Lighting changes visible definition, a slight camera angle changes your apparent taper, and clothing can hide most of what the score depends on. That is why the bands are wide and the confidence rating exists.
The number is a snapshot, and a snapshot is the least useful form of this measurement. What actually tells you something is the same score, same pose, same lighting, week over week - which is exactly why photos taken inconsistently mislead you and why the app scores every check-in instead of once.
If you want the underlying number rather than the composite, the AI body fat estimator reads body fat percentage from the same kind of photo.
Questions
Upload a photo for a 1 to 100 physique score with four sub-scores, without signing up. This browser tool provides three free ratings, limited to one per day. The iOS app supports ongoing scored check-ins within its current free allowance; Pro expands access.
The AI reads four things from your photo and scores each 1-100: body fat (how lean you read for your sex), muscle (visible development for your frame), proportions (taper, balance, symmetry), and goal fit (how well your current physique suits the goal you picked). The overall score is a weighted blend, weighted most toward body fat and muscle.
This tool labels scores of 51 to 70 Solid, 71 to 85 Impressive, and 86 to 100 Elite. These are bands in a product rubric, not population percentiles. Compare your own consistent check-ins and read the sub-scores alongside the photo before drawing conclusions.
Directionally useful, not precise. A single casual photo carries real error from lighting, angle, posture, and clothing, so the score is deliberately banded rather than exact. Its value is as a repeated measure: the same method on the same pose every week shows change that a one-off number cannot.
Your selected photo is sent to the AI service to generate the rating. GainFrame does not store the photo on its servers. This is remote inference, so the rating is not computed entirely on your device. The separate photo-comparison tool processes images locally in your browser.
Yes. Pick female before uploading and the body fat sub-score is anchored to female ranges, which sit roughly 8-10 points higher than male ranges at the same visual leanness. Scoring against the wrong sex is the single biggest source of a misleading result, so it is worth setting.
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