How accurate is Lose It? Its food sources, budget math and eight studies

Is Lose It accurate for a food entry or a whole day?

Lose It's Incorrect Food Data help article describes USDA generic foods, member uploads, member-entered barcode nutrition and foods verified by its team. Lin's 2022 single-food comparison reported mostly excellent agreement with NDSR, while Griffiths in 2018 and Fallaize in 2019 found several nutrients lower in full-day records, with no significant calorie difference in either study.

Those tests measured different things and do not combine into one accuracy figure. We assign no accuracy figure. Lin 2022 and Wharton 2014 were read as abstracts only, and the other six papers were read in full.

USDA foods, member additions and the green checkmark

Lose It's food help articles were checked October 15, 2026. Its Incorrect Food Data article describes these routes into the database.

The How to Log Food in Lose It article calls team-added and updated foods accurate and more likely to have complete nutrition. The Incorrect Food Data article still allows corrections to verified foods by opening the entry and selecting Edit Nutrition. It describes editing during logging and scanning too. The checked help articles describe this edit route, without describing a report route for incorrect entries.

In Custom Foods, Lose It says a new food can begin with an unmatched barcode or manual entry in the app or on its website. Share with the Community makes it available to other members. Its Tracking Nutrients article describes supplying missing values from the package, then an AI validation tool reviewing the submitted data before a global database update.

The Macronutrient Calculation article names three reasons calorie totals calculated from macros may differ from logged calories. The label may be inaccurate, a member may have entered macros incorrectly, or macro data may be absent.

Lose It's 9 Advantages of Switching to the Lose It App blog post claims its database is among the world's largest, most complete and most accurate, and says it prioritizes verified entries. The checked company pages supply no database test, audit or error rate. They also do not identify the food database team or describe the checks behind the green mark.

The published sizes differ. Membership Tiers and Pricing says more than 50 million foods, Tracking Nutrients says more than 60 million, and About Lose It says millions of global foods. How It Works gives both more than 50 million foods and exercises and over 32 million foods and exercises. The switching blog post gives 63 million food items.

About Lose It describes a verified food database and lists restaurant items without naming their nutrition source. Incorrect Food Data instead describes popular uploads receiving verification and other uploads potentially containing errors. Both descriptions are published by Lose It.

Lose It's food data explanation names one outside database, USDA, beside member uploads, while our Cronometer accuracy article goes through the ten database names Cronometer gives for its food data. The How to Use Snap It article says its photo tool suggests matches from Lose It's food database.

The calculation behind a Lose It daily budget

In How the Calorie Budget is Calculated, Lose It starts with basal metabolic rate, or BMR, calculated from weight, height, age and sex. It multiplies BMR by one of four physical activity levels to estimate daily energy use, then subtracts a deficit linked to the selected weekly pace. The article uses 3,500 calories per pound as its basis.

That budget calculation article pairs half a pound per week with a daily deficit of 250 calories, 1 pound with 500, 1 and a half pounds with 750, and 2 pounds with 1000. Its worked example subtracts 500 from an estimated daily burn of 2,500 to give a 2,000 calorie budget for the 1 pound weekly setting.

Lose It's calculation caveat says the result depends on estimating daily burn accurately, which can vary with metabolism or activity. It says the budget and activity level can be adjusted.

How to Change My Activity Level describes Not Active as minimal movement such as less than 1.5 miles of daily walking. Somewhat Active corresponds to about 3 miles, Highly Active to more than 6 miles and Extremely Active to over 10 miles. Lose It describes these levels using the daily routine excluding optional exercise.

The input lists differ between two articles. How to Edit Your Calorie Budget lists age, gender and height for BMR. How the Calorie Budget is Calculated also includes weight. The Calorie Bonus calls BMR multiplied by activity level Estimated Energy Requirement, or EER. About Lose It uses Total Daily Energy Expenditure, or TDEE, to describe the budget's basis.

In Reasons Your Budget Might Change, Lose It says recorded weight losses gradually reduce the budget and weight gains increase it. Its blog post on whether a budget is set correctly warns that overestimating activity can affect the goal. The checked budget and activity articles name no BMR equation and give no numeric activity multipliers. Our Lose It review covers the contents of its free and Premium plans.

Why exercise and tracker syncing can change the budget

Lose It's blog post on eating back exercise calories says logging a workout can add its burned calories to the budget. How to Log Exercise Without Adding Calorie Burn to Your Budget describes excluding that burn, with manual activation required for manually entered exercises.

The exercise calorie blog post calls these calories estimates rather than precise values. Its blog post on eating back the Calorie Bonus also says trackers are imperfect and the bonus is an estimate. Should I Eat Calories From Exercise leaves eating those calories back to the member.

A bonus begins above the Target Burn

The Calorie Bonus help article defines Target Burn as Lose It's estimate of daily burn, equal to the budget for maintaining the current weight. Bonuses can come from steps or total calorie burn. Exercise credit stays at 0 until burn exceeds the target, after which the excess appears in the log's Exercise section. The checked pages do not describe reducing the budget for a tracker reading below Target Burn.

For tracker connections, The Calorie Bonus says total burn already includes workouts. Synced workout calories appear crossed out and do not separately add exercise credit, to avoid counting them twice. The example in Using Fitbit with Lose It has 2,595 total calories reported by Fitbit and a Target Burn of 2,102, producing a 493 calorie bonus.

Step thresholds and Apple Watch energy

According to Automatic Steps Tracking, BMR and activity level determine the step target. The listed targets are 5,000 for Not Active, 7,750 for Somewhat Active, and 10,000 for both Highly Active and Extremely Active. Credit begins after the target is passed. A connected Apple Watch replaces the Steps Bonus with credit based on total daily burn.

Using Apple Watch with Lose It says Lose It receives resting calories estimated by Apple Health and active calories recorded by the Watch. The company calls syncing both the most accurate way to track calorie burn. That is Lose It's claim.

Apple Watch Bonus is Changing describes a projection that pulls resting and active energy from Apple Health and multiplies it by the percentage of the day remaining. Missing Apple data can produce low or inconsistent bonuses. Lose It says a bonus cannot be updated retroactively once that day has passed.

Why Your Apple Watch Calorie Burn Might Be Changing says the feature expects the Watch to be worn most of the time. When it is removed, Apple Health uses a general resting-calorie estimate. Lose It says this can underreport burn and reduce the bonus.

The company's warnings about inflated burn

Apple Watch Calories Seem Too High says another app sending resting energy can add to the Watch's resting calories. Errors in Apple Health then reach Lose It. Why Is My Calorie Bonus Higher Than Normal also describes connected trackers overreporting total energy, most often resting energy but sometimes active energy. It says a previous day's bonus cannot be directly edited.

Which connections require Premium

Using Apple Watch with Lose It describes a free feature limited to iOS. Fitbit syncing and Garmin syncing require Premium, with membership details covered in our Lose It Premium cost guide. The Fitbit article says Lose It reads only total burn. The Garmin article says the bonus is enabled by default and calls its total-burn sync the most accurate way to track burn and calculate exercise credit. That wording is the company's claim.

The Calorie Bonus article allows turning off the bonus for Fitbit and Garmin. For Apple Watch or Steps from iPhone, it says stopping bonuses requires disconnecting the connection entirely.

Using Health Connect With Lose It describes Lose It reading activity written by other apps and wearables to Health Connect. Using Google Fit with Lose It says new connections and reconnections ended in March 2026 as Google ended support, and points to Health Connect. The Lose It home page still advertises connecting Apple Health and Google Fit.

The Custom Exercises article permits an exercise name, duration and calories burned when no matching exercise is available. The checked exercise articles do not explain how Lose It calculates burn for an exercise selected from its own database.

Eight research designs and their Lose It results

Research checked October 15, 2026. The accounts of Lin 2022 and Wharton 2014 use only their abstracts. The other six accounts use full papers.

Lin 2022 looked up frequently eaten foods

Lin and colleagues, 2022, Journal of the Academy of Nutrition and Dietetics, compared four commercial apps with NDSR version 2017. An investigator selected the 50 foods most often reported in a 2017 Chicago study, representing 22 percent of its reported foods. The comparison was between database values for those foods, not foods logged by participants. The foods were mostly unprocessed or minimally processed.

Lin's abstract assessed energy, macronutrients, total sugars, fiber, saturated fat, cholesterol, calcium and sodium. It describes Lose It's agreement as mostly excellent. Its good to excellent intraclass correlation range of 0.89 to 1.00 is shared with MyFitnessPal, rather than supplied as a Lose It-only range. Only the abstract was read. Our MyFitnessPal accuracy article covers what Lin 2022 and Griffiths 2018 reported for MyFitnessPal.

Griffiths 2018 re-entered recalled days

Griffiths, Harnack and Pereira, 2018, Public Health Nutrition, used recalls from 30 lower-income adults. Each recall covered 24 hours. A researcher transferred the foods into five free apps accessed in October 2016, then compared daily nutrient calculations with NDSR.

Griffiths reported significant shortfalls for Lose It in protein, fat, sodium, sugars, cholesterol and saturated fat. Table 3 gives these daily means and p values.

The Griffiths energy difference was not significant. Lose It's correlations ranged from 0.57 to 0.89. The authors explicitly did not evaluate accuracy when people entered their own foods and amounts.

Fallaize 2019 used previously weighed daily records

Fallaize and colleagues, 2019, JMIR mHealth and uHealth, compared five UK apps available in January 2016 with Dietplan6. One trained researcher entered 20 records from earlier University of Reading studies, and a second checked the entries. Each record covered 24 hours of weighed food.

Fallaize found Lose It significantly underestimated 5 of 7 outputs. Carbohydrate, protein, fat, fiber and sodium estimates were significantly lower. The energy and saturated fat differences were not significant. The energy means were 1850 kcal in Dietplan6 and 1704 kcal in Lose It. Its p value of 0.022 exceeded the study's corrected significance threshold of 0.01. The mean gap of 146 kcal below Dietplan6 was the largest among the five apps.

In Fallaize's appendix, Dietplan6 and Lose It means were respectively 232.3 and 158.3 g carbohydrate, 72.3 and 51.6 g protein, 71.1 and 55.2 g fat, and 2355 and 1044 mg sodium. The authors identified the small sample of 20 and the use of previously collected records as limitations.

A 2019 Business Insider article by Aria Bendix said the study found Lose It the least accurate. The study it links is Fallaize 2019, whose conclusion was least comparable with Dietplan6. That paper did not find a significant energy difference.

Ho 2024 compared several entries for each food

Ho and colleagues, 2024, JMIR mHealth and uHealth, searched Lose It in English as part of a comparison of four consumer apps and one academic app against two national references. Researchers chose the first five relevant codes for each food and standardized amounts to 100 g. The 42 foods produced 190 Lose It codes, compared with USDA FNDDS.

Ho's Figure 2A shows mean energy 9.7 percent below USDA without a significance mark. Total fat was 22.4 percent below, saturated fat 19.3 percent below and cholesterol 28.3 percent below, all marked significant. The paper reports transparent sourcing for 71 of the 190 Lose It codes, or 37.4 percent. Its mean coefficient of variation for saturated fat was 83.6 percent, describing variation between the five entries for a food.

Ferrara 2019 paired diaries with three sample foods

Ferrara, Kim, Lin, Hua and Seto, 2019, JMIR mHealth and uHealth, reviewed seven apps found in April 2017. Three college-aged authors with nutrition training and technology experience each completed an estimated three-day food diary using each app. They also entered foods into USDA Food Composition Databases for comparison of energy and nutrients.

Ferrara described a slight protein underestimate for Lose It in the diary comparison, without printing a Lose It number for that result. The paper separately reports the following calories for three single foods.

In Ferrara's single-food table, the bar and sandwich matched their labels in Lose It, while the banana matched USDA.

Zhang 2019 built Dutch recipes from raw ingredients

Zhang, Nawijn, Boshuizen and Ocké, 2019, Nutrients, used recipe tools in 12 apps, including Lose It version 9.4.5. The researchers entered raw ingredients for three Dutch recipes, boerenkool stamppot, which is mashed potato with kale, a pizza with salami, tomato and mushrooms, and hachee, a beef and onion stew. The reference used the Dutch NEVO database and accounted for nutrient retention during cooking.

Zhang found less fat in Lose It for all three recipes. For one portion, energy was 16 kcal below the 472 kcal reference for stamppot, 42 below 483 for pizza and 119 below 316 for hachee. Fat was respectively 3.7 g below 10.9 g, 2.9 below 25.9 and 8.8 below 17.9. Hachee protein was 11.2 g below the 23.3 g reference.

Zhang's table flagged differences above 5 percent of daily reference intake, corresponding to 100 kcal, 3.5 g fat or 2.5 g protein. Lose It's flagged results were stamppot fat, pizza protein, and hachee energy, fat and protein. The recipe micronutrient rubric gave Lose It 1 of 4, meaning no micronutrient information was available.

Li 2024 separated diet-plan totals from photo recognition

Li and colleagues, 2024, Nutrients, assessed apps from Australian stores. Dietitians created Western, Asian and Recommended dietary patterns, each covering three days. The plans were entered into 16 manual logging apps, including Lose It version 16.2.000, and their results compared with the plans analyzed in FoodWorks.

Li's Asian diet results show carbohydrate at 46 percent of energy in the food records and 29 in Lose It. The paper describes this as a 17 percent underestimate. Total fat shares were 34 against 15, and saturated fat shares 10 against 5. Li describes both fat shares as about half the reference. For the Western diet, the paper reports comparable shares across all apps.

Li's energy figure places Lose It 697 kJ above the Western records, 689 kJ above the Asian records and 422 kJ below the Recommended records.

In the separate Li photo recognition test, 22 food and drink photos containing 39 components went into seven apps. Lose It recognized 18 of 39, reported as 46 percent, and Table 8 marks it as not automatically estimating calories from recognized food. Our Cal AI accuracy article discusses research on calorie estimates from photos.

Wharton 2014 observed the habit of recording

Wharton, Johnston, Cunningham and Sterner, 2014, Journal of Nutrition Education and Behavior, was read only as an abstract. During eight weeks, participants recorded intake with Lose It, smartphone memos or paper and pencil. This measured logging consistency, not nutrient accuracy.

Wharton reported more consistent records among 19 app users than among 15 paper users, with p 0.042. The app group did not record more consistently than the memo group of 13.

Food lookups and complete records point different ways

For single-food lookups, Lin found mostly excellent agreement with NDSR, while Ho found significant fat, saturated fat and cholesterol differences from USDA. Ferrara's bar and Big Mac matched labels, and its banana matched USDA. These results refer to selected food entries.

For full days entered into apps, Griffiths and Fallaize found several nutrients lower without significant calorie differences. Fallaize still reported Lose It's largest mean calorie gap among the apps studied. Li's diet plans gave energy differences in both directions. For recipes, Zhang found lower fat in all three. For photos, Li measured recognition separately from calorie estimation.

The Griffiths and Fallaize app tests date to 2016, while Li tested version 16.2.000 in its 2024 paper. Lose It's cited help articles were updated in 2026. Our most accurate calorie tracker article sets these findings beside tests of other apps, without combining them into a score.

Details to compare with a package or USDA record

1. The green checkmark and verified-only search filter identify entries the team has added or checked, according to Incorrect Food Data. How to Log Food in Lose It describes those entries as more likely to contain complete nutrition.
2. A barcode entry's values can be placed beside the package numbers. Lose It's Incorrect Food Data article says member-entered data can be mistaken or become outdated when a brand changes its nutrition.
3. Calories calculated from macros can be compared with logged calories. In Macronutrient Calculation, Lose It attributes mismatches to inaccurate labels, incorrectly entered macros or absent macro data.
4. For generic food, the entry can be compared with a matching record in USDA FoodData Central. Lose It names USDA as a source for many generic foods in Incorrect Food Data.
5. The entry's Edit Nutrition option is the correction route described in Incorrect Food Data, including for a verified food.

References can differ too. In Ferrara's Big Mac row, both Lose It and the label gave 540 calories, against USDA's 585. Our guide to calorie trackers that show their sources compares what six apps display beside a food.

The sources used for TrueCal estimates

TrueCal's product reference requires every nutrition number to come from a source or the user. Homemade meals use ingredients with sources. These include USDA FoodData Central, FatSecret, Open Food Facts and published restaurant and brand information. Barcode entries use nutrition databases, and label photos read the package directly.

The TrueCal features description says estimates can use food databases, brand labels and restaurant menus, and shows a source label beside each item. The product reference's estimate limits say results can be wrong and depend on supplied meal details, including portions and ingredients.

Questions about Lose It food and exercise numbers