Best apps to track body fat with photos

Yes, apps can estimate body fat percentage from photos, and MeThreeSixty, Spren, ZOZOFIT and GainFrame are the four names that keep showing up when you search for one. Each works differently, from a single quick selfie to a guided 360-degree scan, and none of them replaces a clinical scan like DEXA for a lab-grade number. What follows: how each one actually captures your body, what it claims, the one specific accuracy claim worth reading skeptically, and where GreekBody, an app for men who lift, not a training program, fits in with its own free photo check-ins.

What counts as a real photo body-fat estimate

A photo body-fat estimate is an estimate, never a measurement. A photo body-fat app works one of two ways: a single quick photo or selfie run through a computer-vision model that estimates body fat and other stats directly from that one image, or a guided sequence of photos, sometimes a full 3D scan, that builds a silhouette or avatar and reads composition from that shape instead. BodyIQ works from one photo, ScanFit from a front and a side photo, and FitCommit from a set of guided photos, each returning a body-fat, lean-mass or BMI figure. Photo-based and AI estimates are for general wellness and fitness tracking: they vary with lighting, posture and clothing, and they do not replace a clinical scan like DEXA. That limit applies to every app below, including the ones that don’t say so themselves.

Quick pick

App	How it captures your body	What it claims	One caveat
MeThreeSixty	Front and side photos build a 3D silhouette	Tracks 14+ measurements, body fat and lean mass, kept private on-device	We found no independent accuracy test for MeThreeSixty
Spren	One quick photo or selfie, no extra hardware	Its own App Store listing says results are comparable to DEXA scans	That claim is Spren’s own, not independently verified here
ZOZOFIT	360-degree full-body scan	Tracks body shape and fat percentage across 12 key body areas	More setup than a single selfie
GainFrame	Photo-based AI analysis	Its own roundups rank GainFrame first	Read that ranking knowing who published it

No price column: no price is listed here because none of the four states one on the pages we checked. No GreekBody row either, since this site publishes it. More on that below.

Four apps that keep coming up

MeThreeSixty, Spren, ZOZOFIT and GainFrame are the four names that keep coming up. Each entry below covers the same three things: what it does, what it claims, and one caveat worth knowing before you install it.

MeThreeSixty

MeThreeSixty builds a 3D body avatar from front and side photos, then tracks more than 14 body measurements from it, including body fat percentage and lean mass. Its own pitch leans on privacy: it scans your outline instead of storing the raw photo, and keeps that data on your device. That’s a stated design choice, not a number you can check independently. We found no outside test of how close MeThreeSixty’s body-fat estimate lands to a DEXA or InBody reading, so none is claimed here. Use it for the avatar and the measurement trend it’s built to track, not as a substitute for a lab scan.

Spren

Spren skips the avatar step entirely: one quick photo or selfie, read by the app’s own algorithm, with no wearable or extra hardware required. That makes it the fastest capture of the four. It’s also the boldest claim of the four: Spren’s own App Store listing states its results are comparable to DEXA scans. That’s Spren’s claim about itself, not an outside test, and we found nothing that independently confirms it. Read it the way you’d read any vendor’s own accuracy claim: a marketing statement to weigh, not a verified fact to repeat.

ZOZOFIT

ZOZOFIT works the other way from Spren: a guided 360-degree full-body scan instead of one photo, using its own scanning process to capture shape from every side. That scan tracks body shape, body fat percentage, and changes across 12 key body areas, shown as side-by-side color visuals, so a change between check-ins is something you can see instead of a number alone. The trade-off is setup: a full scan asks more of you than a single selfie, both in time and in following the capture steps correctly each time.

GainFrame

GainFrame estimates body fat from photos using AI image analysis, and layers on FFMI and a muscle-group breakdown across a running timeline of scans. Worth naming directly: GainFrame also publishes its own roundups of these same apps for related searches, and each one ranks GainFrame first. That’s not disqualifying on its own: a company can build a genuinely useful app and also market it. It’s still the kind of conflict worth knowing before trusting a “best app” verdict, including the one in either of those roundups.

A few more names worth knowing

Three more apps show up in the same searches, each with only its own store listing to go on, not enough to give a full entry the way the four above got. BodyIQ analyzes a single physique photo with computer vision and scores each major muscle group alongside its body-fat estimate. FitCommit asks for a set of guided photos and returns body-fat percentage, lean mass, fat mass, BMI, BMR and TDEE from that single capture. ScanFit takes a front and a side photo, combines that with your entered weight, and calculates an estimated body-fat percentage and BMI from the two. None of the three has an independent review or a competing claim to weigh against its own listing, so treat each the same way as any single-source claim: plausible, unverified, and worth a try, not worth trusting outright.

How accurate are these, really

None of the apps compared above publishes an error margin or accuracy percentage on its listing or site: not MeThreeSixty, not ZOZOFIT, not GainFrame, and not the three smaller names in the section above. The one specific accuracy claim in the whole set is Spren’s own: its App Store listing says results are comparable to DEXA scans. That’s the app’s own marketing copy about itself, not an independent test, and we found nothing that backs or contradicts it, which is itself worth noticing: a claim that specific and that bold would normally come with a cited study behind it, beyond the listing’s own word.

The clearer framing, and the one GreekBody’s own Body tab already uses, is a range and a direction instead of a single precise number. GreekBody applies the same rule to its other photo-based feature, photo calories: never claim precision from a photo. A photo, however it’s captured, is still an indirect read on body composition, inferring from visible shape what a clinical scan measures directly. That’s why the tape-measurement and impedance-scale methods covered elsewhere on this site carry the same caveat as the photo apps above: useful for tracking a trend over weeks, not for pinning down a number that matters for one decision today. When a precise baseline actually matters, a real scan is still the more reliable way to get one.

Where GreekBody fits

GreekBody isn’t on the list above for the same reason it doesn’t get a table row: this site publishes it, and a publisher shouldn’t rank its own app. That’s a fact about who is writing, not a hedge on the feature itself. The Body tab already does the same category of thing the apps above do, and it’s built around the same range-based framing this post argues you should use for all of them: a range, not a verdict.

The Body tab tracks weight and waist trends and shows body fat as a range. The range does not come from the photos. It comes from the tape: waist, neck and height through the U.S. Navy formula (Hodgdon and Beckett, 1984, cited in the app under Settings > Sources), one point either side of the estimate. The photos do the other job. Check-ins are taken on an on-screen framing guide, so every one stands on the same mark, and Compare puts any two side by side with the weight and waist on each date under them. That sits in the free tier alongside the rest of the app’s tabs, no upgrade required to use it.

That split is a choice, and it follows from everything above. None of the four apps publishes an error margin for a body-fat number read from a photo, so GreekBody does not produce one. A tape reading is an estimate too, but it is a stated formula with a published source, and it is the same formula every time. The photo shows what the number cannot: where the change actually happened.

If you want the tape-measurement and impedance-scale methods this post didn’t cover, estimating body fat without calipers walks through both. If you’d rather see the photo check-ins for yourself, the app is on the App Store; the link is below.

Four apps answer “track body fat with photos” most consistently: MeThreeSixty for a 3D avatar and measurement trend, Spren for the fastest single-selfie capture, ZOZOFIT for a full 360-degree scan, and GainFrame for a photo-based AI read, with its own conflict of interest worth remembering. None states a plain accuracy figure, and the boldest claim in the set, Spren’s DEXA comparison, is the app’s own marketing copy, not an outside test. Read all four the same way: a range and a direction, checked the same way each time, not a number to chase. GreekBody’s Body tab works from the same range-based framing, with the number from the tape and the photos beside it, free. Download it on the App Store to try it.