手机管家-图片压缩、文字识别

Name: 手机管家-图片压缩、文字识别 revenue & download estimates
Creator: AppCurrents

App Store·ReferenceFree + IAP★ 4.00 (1)launched 2.1y agoapp updated 6mo agocharts in 1 country

Scout Score

手机管家-图片压缩、文字识别 generates an estimated $1–$4/month in revenue from 1–4 downloads/month on the App Store, according to AppCurrents estimates (updated 2026-06-17).

Estimates updated 17.06.2026 · How we estimate · Ranges reflect model confidence, not exact figures.
Est. revenue / month	$1–$4
Est. downloads / month	1–4
Estimate confidence	medium
Pricing	Free + IAP
Rating	4.00 ★ (1 ratings)
Category	Reference
Released	07.05.2024
App last updated	26.11.2025
Platform	iOS

Est. downloads / mo

1–4

Est. revenue / mo

$1–$4

Rating velocity / day

Chart velocity

—

Peak rank

—

Days tracked

—

Modeled monthly estimate · rating velocity · medium confidence

About

手机管家：您的理想照片管理助手在数字时代，我们的照片和视频数量不断增加，整理和管理这些媒体文件可能变得相当繁琐。幸运的是，手机管家应用为您提供了一体化的解决方案，帮助您轻松管理和优化您的相册。以下是手机管家能够提供的一些关键功能：智能清理：通过先进的算法，快速识别出相似图片、模糊图片以及超大尺寸的图片和视频，让您一键清理，释放宝贵的存储空间。图片压缩：选择多张图片，一键压缩，有效节省存储空间，同时保持图片质量。文字识别：利用OCR技术，迅速从图片中提取文字，方便您快速获取图片信息或进行编辑。图片裁剪：自定义图片尺寸，轻松裁剪出您需要的部分，无论是用于社交媒体分享还是其他用途。云空间：提供便捷的云端备份选项，随时上传和下载图片，确保您的珍贵记忆得到安全存储，同时也便于跨设备访问。使用手机管家，您可以更加高效地管理您的移动设备，确保它始终保持最佳性能，同时也为您的数字生活带来…

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Trends & analysis

Chart rank trend

US · overall

Collecting rank history — no snapshots so far. Fills in twice daily.

Why it's surfacing

Scout 5

Newness

Breakout

Ratings & velocity

★ 0 in window

Total ratings

Jun 4Jun 17

New ratings / day

Jun 5Jun 17

Rating distribution

100% positive · 1 ratings

5★

4★

100%

3★

2★

1★

Geographic reach

best rank · 1 storefront

#48 category

Revenue & downloads trend

ARPU $1

Est. revenue / mo · $2

$2$0

Jun 4Jun 17

Est. downloads / mo · 2

Jun 4Jun 17

In-app purchases

2 tiers

手机管家$10

手机管家$23

Update history

1 update tracked

v1.56mo ago
优化图片裁剪，支持自定义大小。

手机管家-图片压缩、文字识别 — FAQ

How much money does 手机管家-图片压缩、文字识别 make?

According to AppCurrents estimates, 手机管家-图片压缩、文字识别 generates approximately $1–$4 per month (medium confidence), modeled from its the App Store chart performance, rating velocity, and monetization signals.