Why these three
Lose It!, Yazio, and FatSecret all entered the calorie-tracking category before photo-AI matured and have each retained substantial user bases despite ceding the category-leader position to PlateLens and MacroFactor. Each retains a specific strength that, in the right client profile, makes it the best recommendation.
Lose It!
Strength. Apple Watch and wearable integration is among the strongest in the category. For clients whose program is built around wearable-tracked exercise (steps, structured workouts, heart-rate zones), Lose It!‘s integration with Apple Health and the Apple Watch first-party workout categories produces a smoother workflow than competing photo-AI tools.
Limitations. Database depth is meaningfully shallower than MyFitnessPal. Photo-AI capability is rudimentary. Subscription pricing for full feature access.
Client profile fit. Apple ecosystem clients with established wearable-tracked exercise patterns. Often a useful default for technology-comfortable clients who arrived via the Apple ecosystem rather than via dietitian referral.
Yazio
Strength. Intermittent-fasting integration is the strongest in the category. The fasting timer, fasting-window UI, and fasting-period educational content are well-integrated rather than bolted on. For clients with IF as a core protocol component [2], this matters.
Limitations. Database depth is regional (strongest in European markets). US-market brand coverage is weaker than MFP. Photo-AI capability is limited.
Client profile fit. Clients with IF as a structured protocol element, particularly clients who arrived at IF independently and want a tool that supports it natively rather than as an afterthought.
FatSecret
Strength. The strongest free-tier offering among major calorie trackers as of 2026. For unsubsidized clients who do not need photo-AI and can tolerate manual entry, FatSecret’s free tier is more capable than the equivalent MyFitnessPal or MacroFactor free tier.
Limitations. Photo-AI is limited. UI is dated by category standards. Less practitioner-facing infrastructure (no equivalent of the clinician portals offered by competitors).
Client profile fit. Cost-constrained clients who need a free tool, can tolerate manual entry, and do not need photo-AI. Useful for community-clinic and sliding-scale practice contexts.
Honest framing
None of these three should be a practitioner’s default first-line recommendation in 2026. Each retains a niche role for specific client profiles. The error to avoid is recommending any of these by inertia (because they were the right answer in 2020) without checking whether the client profile still matches.
References
[1] Burke LE et al. Self-monitoring in weight loss. DOI: 10.1016/j.jada.2010.10.008. [2] Patterson RE et al. Intermittent fasting and human metabolic health. DOI: 10.1016/j.jand.2015.02.018.
Peer reviewed by Sarah Wexler, RDN, CSSD, CDCES, Editor in Chief.