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Scale For Grams: Digital Scale

Scale For Grams: Digital Scale

AVLABS DIJITAL HIZMETLER ANONIM SIRKETI

Utilities免費v1.2.6
App Store
評分

4.5

3,073 則評分

星級

★★★★★

最近更新

2026年1月8日

發佈日期

2025年5月24日

更新內容

v1.2.6

minor bug fix

應用資訊

開發者
AVLABS DIJITAL HIZMETLER ANONIM SIRKETI
分類
Utilities
價格
免費
版本
1.2.6
App ID
6746168792

簡介

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

下載量預測

專業 · 預覽

預估總下載量

307K205K615K
保守估計樂觀估計

17K

低 / 月

26K

預估 / 月

51K

高 / 月

基於3,073 則評分
假設評分率1.0%
應用年齡12 個月

基於評分數量 ÷ 類別評分率估算,實際下載量誤差可達 ±50%。