Scan a meal from a photo
Use AI food recognition to identify what is on the plate and produce a practical starting estimate—without scrolling through a long database first.
AI calorie scanner for iPhone
Snap a photo to estimate calories and macros, then turn each meal into useful progress with BiteLume—your quick, visual food tracker.
Less logging. More learning.
BiteLume removes the most tedious part of a food diary. Capture what you ate, review the estimate, and keep the bigger picture in view.
Use AI food recognition to identify what is on the plate and produce a practical starting estimate—without scrolling through a long database first.
See calories, protein, carbohydrates and fat together, so a number becomes a more useful view of the meal.
Set a personalized direction, track weight and streaks, and look back across daily, weekly and monthly progress.
Bring food, water intake and logged activity into the same routine, with health metrics and progress insights available when you need them.
How BiteLume works
Photo estimates can never see every ingredient or exact portion. BiteLume makes the result useful by giving you a fast starting point to review and track.
Fit the full plate in the frame with clear light. A visible, separated meal gives the scanner more context.
Check the recognized foods, portion assumptions, calories and macros. Correct anything the photo could not show.
Add the meal and use your dashboard to focus on trends over time—not perfection in a single scan.
Inside the app
Explore the current App Store screenshots: photo scanning, nutrition detail, wellness metrics and progress views.






These are authentic screenshots from the current listing. Some still display the outgoing Zwintji or Calzen name while the BiteLume update is prepared.
Practical nutrition guides
Search-friendly, human-first walkthroughs for counting calories from a photo, tracking macros and building a routine you can actually keep.
A practical photo-to-calorie method that explains what the camera can estimate, what you still need to review, and how to get a more useful result.
Read the guide 02Turn an iPhone meal photo into a reviewed calorie entry, with practical fixes for poor light, mixed dishes, sauces and incomplete plates.
Read the guide 03Use a meal photo to start a protein, carbohydrate and fat log, then review the details that make macro estimates more useful.
Read the guide 04A dependable recipe method for homemade meals, plus a faster photo workflow when you need a practical estimate rather than exact ingredient math.
Read the guide 05Start with published menu nutrition when it exists; otherwise break the plate into components and turn a BiteLume scan into an honest estimate.
Read the guide 06A lower-friction calorie-counting method using food photos and familiar portions, with selective weighing only when it teaches you something useful.
Read the guide 07There is no universal accuracy number: food recognition, portion size, recipes and nutrient matching all affect a photo-calorie estimate.
Read the guide 08Create a visual meal record that is quick to maintain and useful to review, with optional calorie and macro estimates in BiteLume.
Read the guide 09A daily tracking method that separates your planned calorie gap from the real trend and accounts for uncertain food and activity estimates.
Read the guide 10Turn an estimated energy need into a practical daily goal, monitor it without rigid perfection and adjust from evidence rather than guesswork.
Read the guideFrequently asked
Yes. An AI calorie scanner can recognize visible foods and estimate portions, calories and macros from a photo. The result is a starting estimate: review ingredients, serving size, oils and sauces before adding the meal.
Learn moreOpen BiteLume, photograph the full meal in clear light, then review the foods and nutrition estimate it returns. Correct anything the camera could not see before saving the meal to your day.
Learn moreA clear meal photo can support an estimate of protein, carbohydrates and fat after the foods and portions are identified. Mixed recipes and hidden ingredients need extra review because the camera cannot measure them directly.
Learn moreFor the most controlled estimate, total the ingredients used in the recipe and divide by the portions served. A BiteLume photo scan can give you a faster starting point when you do not have the complete recipe.
Learn moreUse the restaurant’s published nutrition when it matches your order. Otherwise, photograph the whole plate, identify calorie-dense extras such as oil and sauces, and treat the final number as a reasonable range rather than an exact measurement.
Learn moreYes. Visual portions, package servings, recipe yields and meal photos can all create useful estimates without a scale. Weighing is more precise, but a repeatable lower-friction method is often easier to maintain.
Learn moreAccuracy varies with image quality, food visibility, recipe complexity and portion assumptions. AI scanners are most useful as quick estimates that you review, not as laboratory measurements or medical nutrition tools.
Learn moreA photo food diary records meals visually so you can remember what, when and how you ate. BiteLume adds estimated calories and macros to that visual record, making patterns easier to review over time.
Learn moreStart with a sensible calorie target, log food consistently and compare intake with the target across a week. Body weight naturally fluctuates, so use multi-week trends and adjust gradually instead of reacting to a single day.
Learn moreA daily calorie goal begins with an estimate of your energy needs, then changes according to whether you want to maintain, lose or gain weight. Health conditions and individual needs can require advice from a qualified professional.
Learn moreThe BiteLume journal
Interesting, evidence-aware reads on photo food tracking, calorie estimates, macros, portion clues and everyday consistency.
Calories describe energy; macros describe the protein, carbohydrate and fat that supply most of it. Here is how to decide what deserves your attention.
Keep reading Tracking methodsNo logging method wins every meal. Use a barcode for the exact packaged product, manual search for known portions, and a photo for visual speed and context.
Keep reading Calorie trackingA useful food log does not need laboratory precision. It needs consistent portions, honest extras and enough context to explain the pattern.
Keep reading Everyday nutritionThe ingredient most likely to change a meal estimate may be the one spread thinly across it. Use recipe clues, texture and a quick extras check.
Keep reading BiteLume tipsA clear, complete photo gives a food scanner better visual evidence. Frame the whole meal, separate components and supply the context the camera cannot see.
Keep reading Meal trackingFor a known recipe, calculate the whole pot and divide by finished yield. For an unknown mixed dish, identify its base, protein, sauce and portion.
Keep readingYour next meal is enough to start
Download BiteLume on iPhone and turn everyday meals into a clearer view of calories, macros and progress.
The App Store may temporarily show the outgoing name “Zwintji” while the BiteLume update rolls out.