# 电梯专家 vs 车牌识别Pro

The clearest difference is price: 电梯专家 at Free against 车牌识别Pro's $3.99. 电梯专家 also leads on iOS requirement (10.0 vs 15.0). On ads, in-app purchases and device support there is nothing between them.

电梯专家 is free to download; 车牌识别Pro costs $3.99 up front. Neither carries in-app purchases, so what you see is what you pay.

## The numbers

| Metric | 电梯专家 | 车牌识别Pro |
| --- | --- | --- |
| Price | **Free** | $3.99 |
| Rating | **[5.0 (3 ratings)](https://appshunter.io/ios/app/id949322687/reviews)** | — |
| Number of ratings | **3** | — |
| In-app purchases | No | No |
| Ads | No | No |
| Update frequency | Every 6 weeks | — |
| Monetization | — | Paid |
| Size | 24 MB | 48 MB |
| Requires iOS | **10.0** | 15.0 |
| Devices | iPhone, iPod | iPhone, iPod |
| Age rating | 17+ | 4+ |
| Developer | [Shenyang Bluelight Automatic Technology Ltd.](https://appshunter.io/developer/949322686) | [家 li](https://appshunter.io/developer/1737574994) |

## What reviewers say

### 电梯专家

[App page](https://appshunter.io/ios/app/id949322687)

**Features:** macOS Compatibility, Vision Pro support

**In-app purchases:** none


### 车牌识别Pro

[App page](https://appshunter.io/ios/app/pro/id6759660637)

This offline utility recognizes license plates from live camera feeds or photos without needing an internet connection. It offers real-time alerts for whitelisted or blacklisted plates and securely stores all data locally to protect user privacy. Ideal for parking and access control.

**Highlights:** Offline license plate recognition, Real-time camera and photo input, Whitelist and blacklist alerts, Local data storage for privacy, Recognition history, License plate origin lookup

**Features:** macOS Compatibility, Vision Pro support

**In-app purchases:** none


## Frequently asked questions

### Is 电梯专家 free?

电梯专家 is free to download, with no in-app purchases.

### Is 车牌识别Pro free?

车牌识别Pro costs $3.99, with no in-app purchases.

### Do 电梯专家 or 车牌识别Pro have ads?

Neither 电梯专家 nor 车牌识别Pro shows ads.

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*Compared by [AppsHunter](https://appshunter.io/) from daily US App Store data. Review summaries are generated from verbatim App Store reviews.*