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Scale For Grams: Digital Scale

Scale For Grams: Digital Scale

AVLABS DIJITAL HIZMETLER ANONIM SIRKETI

Utilities免费v1.2.6
App Store
评分

4.5

3,073 条评分

星级

★★★★★

最近更新

2026年1月8日

发布日期

2025年5月24日

更新内容

v1.2.6

minor bug fix

应用信息

开发者
AVLABS DIJITAL HIZMETLER ANONIM SIRKETI
分类
Utilities
价格
免费
版本
1.2.6
App ID
6746168792

简介

Turn Photos into Precise Weight Estimates — Instantly Estimate the weight of any object using just your camera. Our advanced AI-powered app transforms your phone into a smart digital scale, helping you determine the approximate weight of food, furniture, decor, tools, and more — all with a single photo. Whether you're weighing a slice of cake, a gold necklace, a package, or a potted plant, just snap a picture. No physical scale needed. Core Feature: AI Weight Estimation • Photo-to-Weight in Seconds Snap a photo and get an instant weight estimate using computer vision, object detection, and a continually learning weight database. • Supports a Wide Range of Categories Works across food, household items, decor, tools, and more — from small objects to large furniture. Bonus Tools — All-in-One AI Utility • Measure Length from Photo Estimate item size and dimensions directly from images. • Instant Text Translation Translate menus, packaging, or signs using your camera. • Calorie & Nutrition Detector Get quick nutrition estimates by snapping your meal. Why It's Different: Designed for Accuracy: Built specifically for visual weight estimation No Hardware Needed: Use your camera instead of a scale Simple & Fast: One-tap operation with instant feedback Multi-Tool Power: One app for weight, length, translation, and more Always Improving: Machine learning improves estimates over time Your smart camera scale — and so much more. Take a photo. Get answers. Instantly. https://www.focuseedapp.com/weight-scaleai-terms-of-use.html https://www.focuseedapp.com/weight-scaleai-privacy-policy.html

下载量预测

专业 · 预览

预估总下载量

307K205K615K
保守估计乐观估计

17K

低 / 月

26K

预估 / 月

51K

高 / 月

基于3,073 条评分
假设评分率1.0%
应用年龄12 个月

基于评分数量 ÷ 类别评分率估算,实际下载量误差可达 ±50%,与 Sensor Tower 方法一致。