识热量
惠琼 曾 Health & Fitness iPhoneiPadiPod touch
识热量 is a free Health & Fitness app for iPhone and iPad by 惠琼 曾. Rated 5.0/5 from 1 ratings. Requires iOS 15.1. Updated June 23, 2026.
- Rating
- 5.0
- 1 ratings
- Price
- Free
- on the App Store
- Size
- 29 MB
- Age 4+
- Updated
- Jun 23
- 2026 · v1.0
Screenshots
About 识热量
识热量(SnapKcal)是一款 AI 食物热量识别工具。只需拍一张照片,即可自动识别菜品、估算分量,计算热量和蛋白质、脂肪、碳水、纤维等营养数据。 【全类型覆盖】 中餐、西餐、日料、韩餐等各种类型食物都能精准识别。尤其是中餐——炒、炖、红烧、干锅、清蒸等复杂烹饪方式,多种食材混合的菜品也能逐道拆分辨认。连复杂的都能搞定,简单食物自然更不在话下。 【核心功能】 • 拍照识别:对准菜品拍摄,AI 逐道拆分食物并估算热量和营养 • 结果可编辑:识别有偏差时,可手动修改食物名称和克重,自动重新计算 • 历史记录:保存最近 7 天识别记录,随时回顾饮食数据 • 账号同步:使用 Apple ID 登录,次数跨设备同步不丢失 【费用说明】 新用户使用 Apple ID 首次登录即赠送 3 次免费识别。后续可按需购买 ¥3.00/30 次识别包,永久有效,无订阅、无广告。 【免责声明】 识别结果为 AI 估算,仅供日常饮食记录参考,不构成医疗、诊断或减重建议。
App privacy
The developer, 惠琼 曾, reported these privacy practices to Apple.
Data Linked to You
The following data, which may be collected and linked to your identity, may be used for the following purposes:
- Health & Fitness: Health, Fitness
- Purchases: Purchase History
- User Content: Photos or Videos
- Identifiers: User ID
Used for: App Functionality
Alternatives to 识热量
Looking for apps like 识热量? Here are 6 similar apps on the App Store. The highest rated is 热卡-AI拍照识别热量&饮食记录工具 (5.0/5), and all 6 are free to download.
-
SnapKcal: Calorie Tracker
-
食悦 - AI拍照饮食记录与卡路里计算
-
热卡-AI拍照识别热量&饮食记录工具
5.0
-
Stand Up! Drink Water!
-
千卡记-AI减肥热量识别&饮食记录打卡&轻断食&食谱&减脂
4.0
-
Many - Count Anything Tally
4.7
| App | Rating | Price | Last updated | Compare |
|---|---|---|---|---|
| 识热量 | 5.0 / 5 (1 rating) | Free | June 23, 2026 | |
| SnapKcal: Calorie Tracker | – | Free | Aug 10, 2026 | Compare |
| 食悦 - AI拍照饮食记录与卡路里计算 | – | Free | Oct 9, 2026 | Compare |
| 热卡-AI拍照识别热量&饮食记录工具 | 5.0 / 5 (2) | Free | Jul 6, 2026 | Compare |
| Stand Up! Drink Water! | – | Free | Oct 23, 2026 | Compare |
| 千卡记-AI减肥热量识别&饮食记录打卡&轻断食&食谱&减脂 | 4.0 / 5 (1) | Free | Oct 20, 2026 | Compare |
| Many - Count Anything Tally | 4.7 / 5 (15) | Free | Sep 13, 2026 | Compare |
Compare 识热量 with the top alternatives: ratings, updates, ASO score and keyword gaps →