Manje ngezilimi eziyi-108

Skena ngokuhlakanipha, phila kalula.

Beka ikhamera yakho kunoma yisiphi isidlo. I-SkinnyScan ikunika ama-calories, ama-macros kanye nesilinganiso sempilo esisekelwe kwesayensi A–E — bese ikusiza ngokuthula ukufinyelela imigomo yakho.

Thola i-SkinnyScan Bheka isayensi
Yakhelwe ucwaningo lokondleka oluhlolwe ngabelane. Idiary yakho ihlala kudivayisi yakho.
I-dashboard yakho yansuku zonke
A

Lokhu ucwaningo luthola

Ukuzibheka kuyisikhombisa esinamandla sokuphumelela ekwehliseni isisindo.

2×
isikhathi esiningi sokwehlisa isisindo ngabantu ababhala ukudla uma kuqhathaniswa nalabo abangabhali.
Burke et al., 2011
86%
wabalandeli abajwayelekile babika izinguquko ezibalulekile emikhubeni yabo yokudla phakathi nesikhathi esingama-1.
Harvey et al., 2019
66 days
isikhathi esijwayelekile sokwakha umkhuba omusha wansuku zonke, ezimweni zangempela.
Lally et al., 2010
Bona lokhu kusebenze

Uhambo oluholwa — ngolimi lwakho

Ukuphuma okufanayo, kugcwele ukuhumusha: skana ukudla, funda isikhumbuzo sokuphila, futhi ubuke usuku lwakho lonke luhlangana.

  1. Scan
    Bheka kunoma yisiphi isidlo
    Ukubona kwe-AI kubiza ukudla kwakho cishe emizuzwini emibili.
  2. Grade
    Thola isikhumbuzo sokuphila se-A–E
    Ukudla ngakunye kuhlolwa ngokushesha lapho kuqapheleka.
  3. Track
    Usuku lwakho lonke, ngeso elibukhali
    Amakhalori, ama-macros kanye namanzi kuzogcwaliswa ngokuzenzakalelayo.
  4. Guide
    Yazi ukuthi kufanele udle ini elandelayo
    Iziphakamiso ezithambile zikusiza ufinyelele umgomo wakho.
Izici

Yakhelwe ukudla kwansuku zonke

Izici eziyisithupha ezithulelayo ziguqula izinsuku ezinhle zibe imikhuba emihle.

AI

AI Food Scanner

Thatha isithombe sanoma iyiphi ukudla bese uthola ukudla okusheshayo. Akusekho ukusola ngezilinganiso noma ukufuna imenyu.

Nutri-Score

A–E Health Score

Ukudla konke kuthola ibanga elicacile leleta elisekelwe ezimisweni ezifanayo ne-Nutri-Score yaseYurophu — ngeso elibukhali, uyazi ukuthi yini enempilo nokuthi yini engelona.

Mifflin–St Jeor

Inhloso ye-calorie eyenziwe ngezifiso

Izinhloso zansuku zonke zibalwa kusukela kumphumela we-Mifflin-St Jeor BMR, umsebenzi wakho, umgomo wakho, kanye nesivinini osikhethile.

Evidence-based

Ama-macros alinganisiwe

Izinhloso ze-protein, ama-carbs kanye namafutha alinganisiwe ukuze uqinisekise ukuthi uyaneliseka — i-protein yokwaneliseka, ama-carbs ukuze uthole amandla, amafutha ukuze uthole ama-hormones.

Habit science

Izikhawu & impumelelo

Ukwakha imikhuba okuvikelwe ucwaningo lwe-gamification: izikhawu zansuku zonke, ama-badges, kanye nezikhuthazo ezithulelayo ezihlanganisa ushintsho olwenziwayo.

Inclusive

Izilimi eziyi-108

Kusuka kwisiNgisi kuya kwiSwahili kuya kwiHawaiian. Ukusekelwa okuphelele kokuhamba kwesokudla kuya kwesobunxele kwe-Arabhu, isiHebheru, isiPheresi, isi-Urdu nakakhulu.

Izikrini zangempela

Lena i-app yangempela

Ayikho imifanekiso. Izithombe zangempela ezivela ku-SkinnyScan esebenza ku-iPhone.

Ukubingelela okuthule, komuntu
Ukubingelela okuthule, komuntu
I-dashboard yakho yansuku zonke
I-dashboard yakho yansuku zonke
Isikhumbuzo se-A–E sokudla ngakunye
Isikhumbuzo se-A–E sokudla ngakunye
Idayari yokudla ecacile, ethambile
Idayari yokudla ecacile, ethambile
Imikhuba egcina ikuhambisa phambili
Imikhuba egcina ikuhambisa phambili
Kusebenza kanjani

Izinyathelo ezintathu ukuze kube nezinsuku ezingcono

01

Skena

Vula i-SkinnyScan bese ubeka ikhamera yakho kunoma iyiphi ukudla, isiphuzo, noma ukudla okuphakanyisiwe.

02

Qonda

Thola ama-calories, ama-macros, i-fiber, ushukela kanye nosawoti — kanye nesilinganiso sempilo esicacile se-A–E kanye nesayensi engemuva kwaso.

03

Finyelela

Bheka umjikelezo wakho wansuku zonke closes in. Izikhawu, izitayela zesisindo kanye nezinsiza ziqhubeka zikuholela emgomweni wakho.

Isayensi

Izici zonke zisekelwa ucwaningo oluhlolwe ngababukeli

Asikwenzi. Sihumusha iminyaka eminingi yesayensi yokudla kube uhlelo lokusebenza oluthule — futhi sikhumbula imithombo yethu.

Tracking

Abantu abalandela ukudla kwabo bahlula isisindo esiphindwe kabili.

Self-monitoring in weight loss: A systematic review of the literature
Burke LE, Wang J, Sevick MA · Journal of the American Dietetic Association · 2011 · 111(1):92–102
DOI: 10.1016/j.jada.2010.10.008
Frequency

Ukuthi ulogi njalo, uthola okuningi.

Log Often, Lose More: Electronic Dietary Self-Monitoring for Weight Loss
Harvey J, Krukowski R, Priest J, West D · Obesity · 2019 · 27(3):380–384
DOI: 10.1002/oby.22382
Health Score

Izinga leleta eliphakeme lisiza abantu ukwenza izinqumo eziphilayo ezweni nasemiphakathini.

Objective understanding of front-of-package nutrition labels: An international comparative experimental study across 12 countries
Egnell M, Talati Z, Hercberg S, Pettigrew S, Julia C · Nutrients · 2018 · 10(10):1542
DOI: 10.3390/nu10101542
Macros

Ukudla okunama-protein aphezulu kuthuthukisa ukwaneliseka futhi kuvikele imisipha emincane ngesikhathi sokwehlisa isisindo.

The role of protein in weight loss and maintenance
Leidy HJ, Clifton PM, Astrup A, et al. · The American Journal of Clinical Nutrition · 2015 · 101(6):1320S–1329S
DOI: 10.3945/ajcn.114.084038
Pace

Ukunciphisa kancane, kancane kuvikele ukusebenza kanye nemisipha emincane kangcono kunokudla okuphakanyisiwe.

Effect of two different weight-loss rates on body composition and strength and power-related performance in elite athletes
Garthe I, Raastad T, Refsnes PE, Koivisto A, Sundgot-Borgen J · International Journal of Sport Nutrition and Exercise Metabolism · 2011 · 21(2):97–104
DOI: 10.1123/ijsnem.21.2.97
Hydration

Ukuphuza amanzi ngaphambi kokudla kuthuthukisa ukwehlisa isisindo kancane kodwa ngokungaguquki.

Water consumption increases weight loss during a hypocaloric diet intervention in middle-aged and older adults
Dennis EA, Dengo AL, Comber DL, et al. · Obesity · 2010 · 18(2):300–307
DOI: 10.1038/oby.2009.235
Habits

Imikhuba ithatha isikhathi esijwayelekile esingu-66 days sokuphindaphinda ukuze ibe yizinto ezizenzakalelayo — ukubekezela kubalulekile.

How are habits formed: Modelling habit formation in the real world
Lally P, van Jaarsveld CHM, Potts HWW, Wardle J · European Journal of Social Psychology · 2010 · 40(6):998–1009
DOI: 10.1002/ejsp.674
Streaks

Ukudizayina kahle kwe-gamification (izikhawu, ama-badges, inqubekela phambili) kuthuthukisa imiphumela yokuziphatha kwezempilo.

Gamification for health and wellbeing: A systematic review of the literature
Johnson D, Deterding S, Kuhn KA, Staneva A, Stoyanov S, Hides L · Internet Interventions · 2016 · 6:89–106
DOI: 10.1016/j.invent.2016.10.002
Adherence

Izinhlelo zokusebenza zokulandela ezitholakala ku-smartphone zikhuthaza ukulandela okukhulu kunamadiyari ephepha — futhi ukulandela yikho okushintsha umphumela.

Adherence to a smartphone application for weight loss compared to website and paper diary: pilot randomized controlled trial
Carter MC, Burley VJ, Nykjaer C, Cade JE · Journal of Medical Internet Research · 2013 · 15(4):e32
DOI: 10.2196/jmir.2283
Mindful eating

Ukudla ngokunaka — kancane, ngaphandle kokuphazamiseka — kunciphisa kakhulu ukuphuza okuphelele.

Eating attentively: A systematic review and meta-analysis of the effect of food intake memory and awareness on eating
Robinson E, Aveyard P, Daley A, et al. · The American Journal of Clinical Nutrition · 2013 · 97(4):728–742
DOI: 10.3945/ajcn.112.045245
Portion accuracy

Ukulinganisa isikhumbuzo sokudla kuyindlela ehamba phambili yokuphutha ama-calorie — amathuluzi azenzakalelayo anciphisa amaphutha kakhulu.

Image-based dietary assessment ability of dietetics students and interns
Ho DKN, Tan LJ, Bandral M, Chan YM, Skouteris H · Nutrients · 2020 · 12(4):1224
DOI: 10.3390/nu12041224
Goals

Ukubeka imigomo eyenziwe ngezifiso kumuntu ngamunye kuyisithako esiyinhloko sokuphumelela kwezinguquko zokuziphatha.

A taxonomy of behavior change techniques used in interventions
Michie S, Ashford S, Sniehotta FF, Dombrowski SU, Bishop A, French DP · Health Psychology · 2011 · 30(6):690–701
DOI: 10.1037/a0023440
Izilimi eziyi-108

Indlela ethule yokudla — ngolimi olwakho lonke

I-SkinnyScan iletha ukuhumusha okuphelele nokwakhiwa kwesokudla kuya kwesobunxele kwezilimi ezingaphezu kwekhulu, kusuka ezilimini ezikhuluma kakhulu kuya kwezincane. Ukuhlanganiswa akuyona isici — kuyiphansi.

I-app eyodwa, zonke izilimi

Isikrini esifanayo, ngama-108 izilimi

I-interface egcwele ukuhumusha — enesakhiwo sangempela sokuhamba kwesokudla. Nansi kulezi eziyisithupha.

SkinnyScan — English
🇬🇧 English
SkinnyScan — العربية
🇸🇦 العربية
SkinnyScan — हिन्दी
🇮🇳 हिन्दी
SkinnyScan — 简体中文
🇨🇳 简体中文
SkinnyScan — 日本語
🇯🇵 日本語
SkinnyScan — Français
🇫🇷 Français
🇬🇧 English 🇪🇸 Español 🇨🇳 简体中文 🇹🇼 繁體中文 🇮🇳 हिन्दी 🇸🇦 العربية 🇵🇹 Português 🇧🇩 বাংলা 🇷🇺 Русский 🇯🇵 日本語 🇩🇪 Deutsch 🇫🇷 Français 🇵🇰 اردو 🇮🇩 Bahasa Indonesia 🇮🇹 Italiano 🇰🇷 한국어 🇹🇷 Türkçe 🇻🇳 Tiếng Việt 🇵🇱 Polski 🇺🇦 Українська 🇳🇱 Nederlands 🇹🇭 ไทย 🇮🇷 فارسی 🇷🇴 Română 🇬🇷 Ελληνικά 🇨🇿 Čeština 🇸🇪 Svenska 🇭🇺 Magyar 🇮🇱 עברית 🇩🇰 Dansk 🇫🇮 Suomi 🇳🇴 Norsk 🇸🇰 Slovenčina 🇧🇬 Български 🇭🇷 Hrvatski 🇷🇸 Српски 🇱🇹 Lietuvių 🇸🇮 Slovenščina 🇱🇻 Latviešu 🇪🇪 Eesti 🇲🇾 Bahasa Melayu 🇵🇭 Filipino 🇰🇪 Kiswahili 🇮🇳 தமிழ் 🇮🇳 తెలుగు 🇮🇳 मराठी 🇮🇳 ગુજરાતી 🇮🇳 ಕನ್ನಡ 🇮🇳 മലയാളം 🇮🇳 ਪੰਜਾਬੀ 🇮🇳 ଓଡ଼ିଆ 🇮🇳 অসমীয়া 🇳🇵 नेपाली 🇱🇰 සිංහල 🇲🇲 မြန်မာ 🇰🇭 ខ្មែរ
Ukusekelwa okuphelele kwe-RTL kwe-Arabhu, isiHebheru, isiPheresi, isi-Urdu, isiPashto, isiSindhi, isiYiddish ne-Dhivehi.
Ubumfihlo ngokwakhiwa

IDiary yakho ihlala kudivayisi yakho

IDiary yakho yokudla, umlando wesisindo kanye nemigomo zigcinwa endaweni yakho kudivayisi — akukho akhawunti, akukho sync ye-cloud, akukho ukulandelela. Uhlelo lusebenza offline ngokuhlonza kudivayisi; kuphela ukuhlaziywa kwe-AI kwezithombe kuthumela isithombe ukuze kutholakale ukudla kwakho.

FAQ

Imibuzo evame ukubuzwa

I-SkinnyScan inezinhlelo ezimbili. I-Pro ibiza $4.99/ngenyanga noma $29.99/ngonyaka futhi ihlanganisa ukuskena ama-barcode kanye nolwazi lokudla kudivayisi ngokwayo. I-AI Pro ibiza $9.99/ngenyanga noma $99.99/ngonyaka futhi yengeza ukuskena izithombe zokudla nge-AI okungenamkhawulo. Azikho izikhangiso futhi akukho ukulandelela.
Ukuhlonza ukudla kwethu kusekelwe kudathabhezi yokondleka ehleliwe futhi kubonisa kahle isikhumbuzo sayo sokuzethemba. Ungakwazi njalo ukulungisa isikhumbuzo noma ushintshe ube ukudla okuthile. Kwemikhiqizo epakishwe, ukubheka kwe-barcode kuyiqiniso.
IDiary yakho, umlando wesisindo nezilungiselelo zihlala endaweni yokugcina yedivayisi yakho — akukho sync ye-cloud, akukho analytics. Iphutha elilodwa kuphela ngu-AI photo analysis: lapho uthwebula, isithombe sithunyelwa ngoxhumano oluvikelekile ukuze kutholakale ukudla, futhi asigcinwa noma xhumana nawe.
Cha. I-SkinnyScan iyithuluzi lemfundo elisekelwe kwesayensi yokondleka. Uma unesimo sezempilo, umlando wezinkinga zokudla, noma ukhulelwe, sicela usebenze nomprofessional ofanelekayo.
Yebo. IDiary yakho, ukuqonda kanye nokuhlonza ukudla kudivayisi konke kusebenze ngaphandle kokuxhumeka. Ukuhlaziywa kwe-AI kwezithombe kudinga i-inthanethi — uma ungaxhunyiwe, i-scanner izobuyela ngokuzenzakalelayo ekuhlonzeni kudivayisi.
Ngoba isayensi yokondleka akufanele ibe ngesiNgisi kuphela. Sihumushe uhlelo lwethu ezilimini ezingaphezu kwama-100 ukuze umqondo ufike kubantu abaningi ngangokunokwenzeka — kuhlanganise nezilimi eziningi ezihamba phambili eziningi zazo.

Kulungele uma ungena.

Kuyimfihlo, kungenazikhangiso, futhi kusohlangothini lwakho ngokuthula.

Thola i-SkinnyScan Funda isayensi