Upload a physique photo and get an AI-estimated body fat percentage with muscle group assessment — no calipers or DEXA needed.
Privacy: Your photo is sent directly to the AI for analysis and is not stored on our servers.
Best results with a front or side pose in form-fitting or minimal clothing, good lighting.
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JPEG, PNG, or WebP — max 10MB
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Body fat percentage is the proportion of your total body weight that is fat tissue. The rest — muscle, bone, organs, water — is called lean body mass. Unlike body weight alone, body fat percentage gives you a clearer picture of your actual body composition and fitness level.
Two people with the same height and weight can look and perform very differently depending on their body fat percentage. A person with 15% body fat is leaner and typically more muscular than one at 25%, even if the scale shows the same number.
The ranges below are based on widely accepted fitness standards from the American Council on Exercise (ACE):
The AI analyzes visual cues in your photo that experienced coaches use to estimate body fat:
Visible skin folds, softness around the waist and hips, and overall body roundness.
Striations, separation between muscle groups, and vascularity indicate lower body fat.
Where fat is stored (abdominal, hip, thigh) relative to overall body frame and sex.
Gold standard. Measures bone, fat, and lean tissue separately. Requires a clinic visit.
Highly accurate underwater weighing. Requires specialized equipment and a lab.
Measures subcutaneous fat at specific body sites. Needs a skilled technician for accuracy.
Home scales with BIA are convenient but affected heavily by hydration levels.
Free and instant. Uses AI visual analysis similar to how a trained coach assesses physique.
Harsh side lighting or shadows can exaggerate muscle definition and make body fat appear lower. Natural daylight or even indoor lighting is ideal.
Loose or baggy clothing hides your actual body shape. Shorts and a fitted top, or swimwear, give the AI the most information to work with.
Flexing or tensing muscles hides subcutaneous fat and makes the estimate inaccurate. A relaxed front or side stance is preferable.
For tracking changes, use the same time of day (morning after waking), same pose, same lighting, and similar camera distance each time.
Visual AI body fat estimation typically has a margin of error of ±3–5 percentage points, similar to trained coaches doing visual assessments. Accuracy improves with better photo quality, appropriate lighting, and minimal clothing.
A front or side-profile standing pose in form-fitting or minimal clothing, under good even lighting. Avoid flexing, harsh shadows, or baggy clothes as these significantly affect the estimate.
No. Your photo is sent directly to Google Gemini for AI analysis and is not stored on BiteKit servers. The image is processed in real-time and discarded immediately after.
For males: Essential fat (2–5%), Athlete (6–13%), Fitness (14–17%), Average (18–24%), Obese (25%+). For females: Essential fat (10–13%), Athlete (14–20%), Fitness (21–24%), Average (25–31%), Obese (32%+). These ranges follow American Council on Exercise standards.
DEXA scans and hydrostatic weighing are the most accurate at ±1–3% error. Skinfold calipers and AI photo estimation are both in the ±3–5% range. Photo estimation is less accurate than lab methods but is completely free and instantly accessible.
Yes — for tracking trends, consistency is key. Use the same lighting, pose, time of day, and camera distance each time. Even with some absolute measurement error, consistent methodology shows you the direction and magnitude of change reliably.
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