# Dig in (디긴)

Selon la télémétrie OpenAITools.app vérifiée le 2026-11-11, Dig in (디긴) (digin-ns.com) est une plateforme d'IA indexée sous Reconnaissance d'images IA générant 0 visites mensuelles avec un delta de trafic mensuel de +0 (0 %). Son marché géographique principal est Global (— de part de trafic), et elle fonctionne selon un modèle tarifaire Gratuit. Les principales alternatives concurrentes par volume mensuel incluent FoodIntake (1 k visites/mois), Calorie AI (Calcounter) (15,78 k visites/mois), POS Dish (2,37 k visites/mois).

Dig in is a Korean reward app that logs your restaurant meals from a single food photo, analyzes your dining patterns, and pays you back in rewards you can redeem for gift cards.

## Télémétrie et spécifications clés

| Métrique | Valeur |
| :--- | :--- |
| Nom de l'outil | Dig in (디긴) |
| Identifiant | dig-in |
| Status | active |
| Origin | independent |
| Maintenance | active |
| Domaine officiel | digin-ns.com |
| URL du site web | https://www.digin-ns.com |
| Catégories | Reconnaissance d'images IA, IA pour l'analyse de données, Assistant IA |
| Modèle tarifaire | Gratuit |
| Visites mensuelles | 0 |
| Variation du trafic mensuel | 0 |
| Taux de croissance mensuel | 0 % |
| Marché principal | Global |
| Part de marché | — |
| Visites directes | 0 |
| Visites de recherche organique | 0 |
| Visites sociales | 0 |
| Visites par référencement | 0 |
| Visites par e-mail | 0 |
| Score d'avis | 4 |
| Nombre d'enregistrements | 0 |
| Plateformes prises en charge | Site web |
| Plateformes de facturation |  |
| Attributs | Fonctionnalités: Site web; Tarification: Gratuit |
| Étiquettes | Application de récompenses, Suivi des dépenses de restaurant, Authentification par photo de plat, AppTech, Budget restauration, IA, Chèque-cadeau, Réduction des dépenses |

## Aperçu

Dig in is a Korean reward app that logs your restaurant meals from a single food photo, analyzes your dining patterns, and pays you back in rewards you can redeem for gift cards.

## Tarifs et offres

Dig in is free to download and use. Instead of charging a subscription, it pays users: dining photo verifications accumulate rewards that can be redeemed for gift cards.

## Fonctionnalités clés et capacités

- **AI food photo verification:** Photograph your meal and Dig in's AI-assisted verification turns the image into a logged dining entry, so recording a meal takes seconds instead of a form.
- **Rewards you can cash out:** Every verified dining record earns rewards, which accumulate into gift cards — turning routine meal logging into a light form of app-based earning.
- **Dining goal setting and tracking:** Set a monthly target for how much you want to spend eating out and watch your progress against it as each meal is recorded.
- **Spending pattern analysis:** Dig in analyzes the dining data you build up and surfaces your own eating-out patterns, helping you find where the budget is leaking.
- **Crews and shared dining space:** Eat together in crews where rewards grow with participation, and browse a community space of fellow diners.

## Cas d'usage principaux

- **Keep the monthly dining budget on track (Budget-conscious diner):** Set a target for eating-out spending, log each meal with a photo, and check progress so a restaurant habit does not quietly blow the month's budget.
- **Turn everyday meals into small rewards (App-tech earner):** Collect verified dining records during meals you were going to eat anyway, then redeem the accumulated rewards for gift cards.
- **Discover your own eating-out patterns (Habit tracker):** Let the app aggregate months of dining data so you can see how often you eat out, where, and which habits cost the most.
- **Eat and earn with a crew (Social diner):** Invite friends into a crew, eat together, and let the rewards and shared space add a social reason to keep recording.

## Forces

- Free to use, with rewards rather than a subscription as the incentive model
- Recording a meal takes only a photo, so the effort per entry is very low
- Combines expense tracking and reward earning in one app
- Pattern analysis is built on your own real dining data
- Crew features add a social reason to keep logging meals

## Limites

- Interface and support are primarily in Korean
- Google Play listing was not reachable at audit time, so Android availability should be confirmed directly
- Reward rates and gift-card redemption details are not published on the marketing site
- Core value depends on how consistently you remember to photograph meals

## Questions fréquentes

### What kind of app is Dig in?
Dig in is a Korean dining-rewards app. You verify meals with a food photo, the app records them as dining entries, and you collect rewards while it tracks your eating-out spending patterns.

### How does the photo verification work?
You take a picture of your meal and AI-assisted verification confirms it as a dining record. That record becomes both a spending entry in your budget tracking and a source of rewards.

### Are there other ways to earn rewards besides dining photos?
Dig in's marketing highlights dining photo verification as the main earning path, and mentions that rewards also grow through crew participation. Specific bonus methods vary, so check the app for what is currently available in your region.

### What can I do with the rewards?
Rewards accumulate and can be redeemed for gift cards, letting you convert tracked meals into something you can actually spend.

### How does it help me spend less on eating out?
You set a monthly dining-spending target, log meals against it, and Dig in analyzes the accumulated data to reveal patterns in your eating-out habits so you can adjust what costs you the most.

### Quel est le trafic mensuel et la tendance de croissance de Dig in (디긴) ?
Dig in (디긴) reçoit actuellement 0 visites mensuelles, avec une variation de trafic mensuelle de +0 (taux de croissance de 0 %). Son marché source principal est Global (— de part), dont 0 visites directes/mois et 0 visites de recherche organique/mois.

### Dig in (디긴) est-il gratuit ? Quel est son modèle tarifaire ?
Dig in (디긴) fonctionne selon un modèle tarifaire Gratuit. Dig in is free to download and use. Instead of charging a subscription, it pays users: dining photo verifications accumulate rewards that can be redeemed for gift cards. Les plateformes de facturation et de paiement prises en charge incluent : non répertorié.

### Quelles sont les meilleures alternatives à Dig in (디긴) en 2026 ?
Sur la base du trafic de catégorie et de l'adéquation des fonctionnalités sur OpenAITools.app, les cinq principales alternatives à Dig in (디긴) sont : 1. FoodIntake (1 k visites/mois); 2. Calorie AI (Calcounter) (15,78 k visites/mois); 3. POS Dish (2,37 k visites/mois); 4. metrical (1,01 k visites/mois); 5. Meals.Chat (4,54 k visites/mois).

### Quelles plateformes et capacités d'IA principales Dig in (디긴) prend-il en charge ?
Dig in (디긴) est classé sous Reconnaissance d'images IA, IA pour l'analyse de données, Assistant IA, prend en charge les plateformes suivantes : Site web, et ses étiquettes de capacités principales incluent : Application de récompenses, Suivi des dépenses de restaurant, Authentification par photo de plat, AppTech, Budget restauration, IA.

## Alternatives

| Nom de l'outil | Visites mensuelles | Modèle tarifaire | Comparer |
| :--- | :--- | :--- | :--- |
| [FoodIntake](https://openaitools.app/fr/tool/foodintake) | 1 003 | Freemium | [Comparer](https://openaitools.app/fr/compare/dig-in-vs-foodintake) |
| [Calorie AI (Calcounter)](https://openaitools.app/fr/tool/calorie-ai) | 15 778 | Freemium | [Comparer](https://openaitools.app/fr/compare/calorie-ai-vs-dig-in) |
| [POS Dish](https://openaitools.app/fr/tool/pos-dish) | 2 366 | Freemium | [Comparer](https://openaitools.app/fr/compare/dig-in-vs-pos-dish) |
| [metrical](https://openaitools.app/fr/tool/metrical-fit) | 1 009 | Freemium | [Comparer](https://openaitools.app/fr/compare/dig-in-vs-metrical-fit) |
| [Meals.Chat](https://openaitools.app/fr/tool/meals-chat) | 4 542 | Freemium | [Comparer](https://openaitools.app/fr/compare/dig-in-vs-meals-chat) |
| [Track Calories](https://openaitools.app/fr/tool/track-calories-com) | 259 | Freemium | [Comparer](https://openaitools.app/fr/compare/dig-in-vs-track-calories-com) |
| [Recipe Lens](https://openaitools.app/fr/tool/recipe-lens) | 4 151 | Freemium | [Comparer](https://openaitools.app/fr/compare/dig-in-vs-recipe-lens) |
| [EOS Data Analytics](https://openaitools.app/fr/tool/eos-data-analytics) | 720 760 | Tarifs sur demande | [Comparer](https://openaitools.app/fr/compare/dig-in-vs-eos-data-analytics) |
| [Pl@ntNet](https://openaitools.app/fr/tool/plantnet-org) | 439 904 | Gratuit | [Comparer](https://openaitools.app/fr/compare/dig-in-vs-plantnet-org) |
| [Botan : Identification des plantes](https://openaitools.app/fr/tool/botan-app) | 12 363 | Freemium | [Comparer](https://openaitools.app/fr/compare/botan-app-vs-dig-in) |
| [CalPulse](https://openaitools.app/fr/tool/calpulse) | 164 | Payant | [Comparer](https://openaitools.app/fr/compare/calpulse-vs-dig-in) |
| [Journable](https://openaitools.app/fr/tool/journable) | 2 005 | Gratuit | [Comparer](https://openaitools.app/fr/compare/dig-in-vs-journable) |

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Source : https://openaitools.app/fr/tool/dig-in