Blog · Calorie counter app

Why does food logging take 23 minutes a day at first?

Because every item is found, picked, portioned and fixed, four times a day: in a 2019 trial, dietary self-monitoring took 23.2 minutes a day in the first month, falling to 14.6 by month six, and how often people recorded, not how long, went with the outcome. IZeat removes the entry screen the journalers name as the barrier, and records from a sentence instead.

What did the trial actually measure?

Time on the record, from the record. In a 2019 trial by Harvey, Krukowski, Priest and West, published in Obesity, 142 adults kept an electronic food diary for 24 weeks, and the time they spent was read from the site's logs rather than asked. It came to 23.2 minutes a day in the first month, and 14.6 by month six.

The finding the authors put in their title was not the time. It was that how often people recorded, not how long they spent, went with the trial's outcome: "Log Often, Lose More". In the authors' analysis, the days with a record went with the outcome; the minutes spent did not, which is the sentence every page about food logging should start from.

Two cautions the trial itself carries. It measured an intervention with an electronic diary, not every tracker on the market, and the authors read the fall to 14.6 as experienced loggers getting fast; it does not report how many of the 142 had stopped by week ten. Another pair of trials answers that.

Where do the minutes go?

Into the entry, item by item. A meal of five foods is five searches, five lists of entries to pick from, five portions to set, and a correction when the entry was the wrong size. The arithmetic takes no time; the searching, picking and correcting are what the journalers describe, four times a day, which is why a month of it reads as a second job. The trial timed the recording as a whole, not each part of it, so how much of the 23 minutes each part took is not known.

The people who do it say so. Journalers studied by Cordeiro, Epstein and colleagues in 2015, 141 people and 5,526 forum posts, called the practice "too much effort", "time-consuming", "tedious", and named the database as a barrier in its own right: "multiple postings with all different information", "too many choices". In a 2019 study by Chen and colleagues, 80 percent of 43 adults rated MyFitnessPal easy to use and 20 percent said they would continue; the barriers were matching foods, portion size and time.

Easy and abandoned are not a contradiction. A tool can be easy to learn and still cost a quarter of an hour a day, and in two six-month trials fewer than half were still recording at week ten. The cost is highest in the first weeks, when the foods are new to the app and the habit is thin, which is where the barriers the journalers name do their damage.

Who gets fast, and who stops before they do?

The people who stay get fast: 14.6 minutes by month six is the time of someone who knows their foods and their app. The trouble is the ten weeks before that. In two six-month trials reported by Turner-McGrievy and colleagues in 2019, fewer than half the participants were still recording after week ten, whichever definition of adherence was used.

The studyWhat it measuredThe figureWhat it says about the keyboard
Harvey and colleagues, 2019, 142 adultsMinutes a day on an electronic diary, from its logs23.2 in month one, 14.6 in month six; frequency, not duration, went with the outcomeThe time measured was highest in the first month
Turner-McGrievy and colleagues, 2019, 124 participantsWho was still recording, week by weekFewer than half after week ten, on every definitionMost records end before the logger gets fast
Helander and colleagues, 2014, 189,770 downloadsActive use of a free photo-logging app2.58 percent used it actively: ten pictures, one weekOne free photo app did not keep its downloaders
Chen and colleagues, 2019, 43 adultsEase of use and intent to continue with MyFitnessPal80 percent easy to use; 20 percent would continue; barriers: matching foods, portion, timeEasy to learn is not cheap to keep
Cordeiro and colleagues, 2015, 141 journalersBarriers, in the journalers' words"Too much effort", "time-consuming", "tedious"; the database itself a barrierThe picking is part of the cost
Evenepoel and colleagues, 2020, 50 peopleEnergy recorded in MyFitnessPal with instructions on picking entries, against the Belgian table1.3 percent highThe database works when the right entry is picked; the pain is the picking
Six studies on the cost of food logging, what each measured and what each found; all read from their abstracts or full texts in September 2026.

Bottom line: the numbers are usable and the loggers who stay get fast; the barriers the journalers name are the entry, in the first weeks, not the arithmetic.

One more figure keeps the argument honest: with instructions on picking the right entry, 50 people recording four days in MyFitnessPal came out 1.3 percent high against the Belgian composition table, in a 2020 study by Evenepoel and colleagues. The database is not the problem. Picking from it, meal after meal, is.

What does one sentence cost instead?

A description, and a question when something is missing. "Lunch was 180 g of chicken breast, no oil, 150 g of cooked rice and a 125 g plain yoghurt" contains the weights and the fat, so little is left to ask, at most whether the chicken was weighed raw or cooked and which plain yoghurt; "lunch was chicken and rice" leaves the weights and the oil open, and IZeat's protocol has the assistant ask for them, in one message, before recording anything.

That is the whole cost, and this page prints no minutes figure for it: IZeat has measured no time saving and claims none. What was observed is a scene. On 7 September 2026 I corrected my lunch four times in fifteen minutes, a weight here, the cottage cheese down to 73 g there, and nothing was retyped: each correction was a sentence, and the record followed with a trace. I build IZeat with Seb, so that is a founder's day, not a customer's, and a description of one person's afternoon, not a measure of yours.

The effort that remains is real and worth naming: connecting the assistant once, saying a weight or a fat when you know it, answering a question when you do not, and reading the receipt back. What is gone is the part the trial's minutes went into, the search, the list of entries and the portion field, which is the part the journalers in the table named as the barrier.

How can you get through the first month, when the record is most likely to stop?

IZeat is the calorie tracker inside ChatGPT, Claude or any other assistant. Tell the assistant you already use what you ate instead of searching for foods and entering them one by one. The first month is where the time was highest in the 2019 trial, and in two other trials fewer than half were still recording by week ten; that is where the design aims: a record that is easier to keep while you work toward your goal, not one that is faster to type. Whether it is kept longer is the hypothesis, not a result we have measured.

Week one, the assistant asks more, because you have not yet said your weights and your fats: "how much rice, and what was the chicken cooked in?" You answer, and the receipt comes back with the rows, their sources and the day so far. Week three, the same breakfast is "like yesterday, without the egg": the assistant reads yesterday's from IZeat and records today's with the change. A snack is a sentence in the chat that is already open. A day you forgot is said the next day, with the day, and lands where it belongs. Nothing is scored, and a day with no record is shown as one.

  • You spend the first weeks saying your foods, not searching for them. For a dish you have already recorded, the assistant can read that meal from IZeat and record it again with the change, instead of asking its weights a second time; the entry is the sentence you were going to say anyway.
  • You record when the meal happens, where you already are. The chat is open; the snack is a sentence; the record follows the eating rather than a trip through an app.
  • You keep going after a missed day, because nothing was lost. A day with no record is a day with no record; the period's average is taken over recorded days only, and there is no series to protect.

The limit, plainly: how long you keep this record is not something IZeat has measured, and the trials above measured other tools. What the design removes is the entry screen the minutes went into; whether that is enough for you is what your own second month will say.

Frequently asked questions

Short answers to the questions people type, each one sourced above.

How long does it take to log food in a calorie app?

In the one trial that read the time from the app's own logs, Harvey and colleagues in 2019, dietary self-monitoring took 23.2 minutes a day in the first month and 14.6 by month six, for 142 adults over 24 weeks. Other apps were not timed the same way, and this page gives no figure for them. A 2019 study by Chen and colleagues found the barriers were matching foods, portion size and time, even among people who rated the app easy to use.

Does food logging get faster?

In the 2019 trial, yes: the time fell from 23.2 minutes a day to 14.6 by month six, and about two thirds of the participants were still logging time at month six. A separate pair of six-month trials, reported by Turner-McGrievy and colleagues with other interventions, found fewer than half still recording after week ten. The two studies measured different groups and cannot be laid end to end.

Why do people stop logging their food?

The people who stop say why: "too much effort", "time-consuming", "tedious", in a 2015 study of 141 journalers, and the database itself, "multiple postings with all different information". Solbrig and colleagues wrote in 2017 that continual self-monitoring sapped their participants' motivation. The trial that timed logging measured the highest time in the first month.

Is photo logging faster?

It is faster to take the picture and slower to get an honest number. Of 189,770 people who downloaded a free photo-logging app in a 2014 cohort, 2.58 percent used it actively, ten pictures in a week. A photo names the dish and cannot show the portion or the cooking fat, so the questions still have to be asked; in IZeat they are, before any number is recorded. A description with weights beats the picture.

Does a barcode scanner save time?

For packaged food, yes, and the figures are usually right: in a 2019 test of 100 supermarket products across seven apps, 96 percent were identified and 79 percent of the energy values were within 5 percent. The time it does not save is everything that is not packaged, the cooked dish, the restaurant plate, the portion. IZeat has no scanner; a label is a photo read back to you, and the rest is said.

How much time does IZeat save?

IZeat has not measured it and prints no figure. What can be said is what was removed, the search box, the list of entries and the portion field, and what remains, a description and a question when a weight or a fat is missing. A scene is not a measurement, and the trials above timed other tools.

Is it enough to log a few days a week?

The trial did not test it, so this page will not promise it. What it found is that how often people recorded went with the outcome, more than how long they spent, which argues for many light entries over a few heavy ones. A record kept on ordinary days and dropped on the odd one is still a record; IZeat averages a period over recorded days only, so a day without an entry is shown as such, never filled in.

Why does the first month matter so much?

Because it is where the cost peaks and the habit is thinnest: 23.2 minutes a day in month one against 14.6 in month six, and fewer than half still recording after ten weeks in two other trials. A tool that is cheap to keep in month one is the bet; whether it gets you to month six is not something IZeat has measured. That is the month IZeat's design aims at: the sentence instead of the entry, from the first meal.

The diary you don't type.

Start my 7-day free trialHow it works

Say what you ate to the assistant you already use, ChatGPT, Claude or any other. It is logged, every number says where it came from, and the whole day is on one screen. 7 days without a card.