Comparison

TP vs 智能修复老照片

Price, ratings, monetisation and update history for both apps, side by side — with what reviewers say about each.

Head to head
About

TP

This app serves as a unified platform for managing TP-LINK smart IoT devices. It allows for both local network management and remote access via a TP-LINK ID, offering control over security cameras, routers, and smart home products.

Highlights
  • Unified management of TP-LINK smart devices
  • Remote management via TP-LINK ID
  • Real-time preview and recording of security cameras
  • Router setup and terminal management
  • Smart home device control (e.g., video doorbell)
Features
Read full description

TP-LINK物联APP是管理TP-LINK智能物联产品的统一平台。可在局域网内进行统一管理也可登录TP-LINK ID,随时随地远程管理。 主要功能: 1.管理TP-LINK安防监控产品,如网络摄像机、硬盘录像机等,支持监控画面实时预览、录像、截图、语音对讲、云台控制及录像回放等功能; 2.管理TP-LINK无线路由器,支持路由器上网设置、无线网络设置、上网终端管理等功能; 3.管理TP-LINK智能家居产品,如可视门铃、太阳能控制器等,支持访客记录、电量统计、设备联动等功能。

About

智能修复老照片

This utility app uses AI to intelligently restore old and blurry photos. It can also add color to black and white images, bringing faded memories back to life.

Highlights
  • Intelligent old photo restoration
  • Colorize black and white photos
  • AI-powered image enhancement
  • Restore blurry portraits and landscapes
Features
Read full description

智能修复老照片是一款能够智能修复老旧照片的实用app,通过内置的ai算法,可以将老旧照片、模糊照片修复到比较良好的状态,同时还可以对黑白照片进行上色,让尘封许久的回忆添上一份色彩! 产品主要功能: 1、老照片修复 智能修复模糊的人像,风景等老旧照片! 2、黑白照片上色 可以对黑白照片进行上色,使照片增添一抹色彩! 新产品刚上线,若有其他任何提意,请在应用内反馈功能反馈,我们会不断改进产品,给您更好的使用体验!

Screenshots

TP4 screens
智能修复老照片4 screens

Verdict

The call

The clearest difference is review sentiment: 智能修复老照片 at 100% against TP's 32%. 智能修复老照片 also leads on rating (5.0 vs 2.3) and iOS requirement (9.0 vs 14.0). TP's advantage is ratings volume (59 vs 2). On price, update cadence, ads and in-app purchases there is nothing between them.

Scored on Price · Rating · Positive reviews · Number of ratings · Update frequency · Ads · In-app purchases · Monetization · Best chart rank · Devices · Requires iOS

CostPrice · In-app purchases · Ads · Monetization

Both are free to download. Neither carries in-app purchases, so what you see is what you pay.

ReceptionRating · Positive reviews · Number of ratings

智能修复老照片 holds the better App Store score, 5.0 against 2.3. That said, the two scores are not equally well evidenced: TP has 59 ratings behind it against 2, so its average is the more settled of the two. Written reviews point the same way: 32% of TP's written reviews are positive against 100% of 智能修复老照片's.

UpkeepUpdate frequency

TP ships an update every 3 weeks, 智能修复老照片 every 5 weeks. The most recent releases landed on October 26, 2026 and October 22, 2026 respectively.

Scorecard4 real differences · 6 level
TP versus 智能修复老照片: the parameters behind the verdict, then further details
ParameterTP智能修复老照片
PriceFreeFree
Rating2.3 (59 ratings)5.0 (2 ratings) — better
Positive reviews31.7% of reviews100.0% of reviews — better
Number of ratings59 — better2
Update frequencyEvery 3 weeks — betterEvery 5 weeks
AdsNoNo
In-app purchasesNoNo
MonetizationFreeFree
DevicesiPhone, iPodiPhone, iPod
Requires iOS14.09.0 — better
Further details — not scored
Size261 MB81 MB
Age rating4+4+
DeveloperTP-LINKShanghai Lijie Information Technology Co., Ltd

Customer experience

TP

All ratings59 ratings
Positive25.4%
Neutral8.5%
Negative66.1%
Written reviews63 reviews
Positive31.7%
Neutral12.7%
Negative55.6%

智能修复老照片

All ratings2 ratings
Positive100.0%
Neutral0.0%
Negative0.0%
Written reviews1 reviews
Positive100.0%
Neutral0.0%
Negative0.0%

In-app purchases

None

TP

No in-app purchases

None

智能修复老照片

No in-app purchases

Questions

Is TP free?
TP is free to download, with no in-app purchases.
Is 智能修复老照片 free?
智能修复老照片 is free to download, with no in-app purchases.
Which has better reviews, TP or 智能修复老照片?
智能修复老照片 is rated higher. TP averages 2.3 out of 5 from 59 ratings, while 智能修复老照片 averages 5.0 from 2 ratings.
Do TP or 智能修复老照片 have ads?
Neither TP nor 智能修复老照片 shows ads.
Which is updated more often, TP or 智能修复老照片?
TP ships an update every 3 weeks, and 智能修复老照片 every 5 weeks. Most recently, TP was updated on October 26, 2026 and 智能修复老照片 on October 22, 2026.

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