# LING HUI vs Misty Faces

The clearest difference is in-app purchases: LING HUI at none against Misty Faces's 1. LING HUI also leads on iOS requirement (12.0 vs 17.0). On price, ads and device support there is nothing between them.

Both are free to download. Misty Faces sells 1 one-off in-app purchase. LING HUI asks for nothing beyond the download.

## The numbers

| Metric | LING HUI | Misty Faces |
| --- | --- | --- |
| Price | Free | Free |
| Positive reviews | — | 83.3% of reviews |
| In-app purchases | **No** | Yes |
| Ads | No | No |
| Update frequency | — | Every 4 days |
| Monetization | — | Free |
| Size | 68 MB | 28 MB |
| Requires iOS | **12.0** | 17.0 |
| Devices | iPhone, iPod | iPhone, iPad |
| Age rating | 4+ | 4+ |
| Developer | [Shenzhen EASYWAY Technology Co., Ltd.](https://appshunter.io/developer/1525814132) | [Lunabee Studio](https://appshunter.io/developer/991749261) |

## What reviewers say

### LING HUI

[App page](https://appshunter.io/ios/app/ling-hui/id6746353923)

**Features:** macOS Compatibility

**In-app purchases:** none


### Misty Faces

[App page](https://appshunter.io/ios/app/misty-faces/id6766627637)

Automatically blur faces in photos for enhanced privacy before sharing. This on-device tool offers fast, manual, and per-face blur adjustments, with smart export options to remove metadata.

**Highlights:** Automatic face detection and blurring, Manual blur zone drawing, Per-face blur level control, Metadata stripping on export, 100% on-device processing, Fast and native iOS performance

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

**In-app purchases (1)**

| Purchase | Price | Billing |
| --- | --- | --- |
| Unlimited Misty Faces | Free | one-time |


## Frequently asked questions

### Is LING HUI free?

LING HUI is free to download, with no in-app purchases.

### Is Misty Faces free?

Misty Faces is free to download, with in-app purchases available.

### Do LING HUI or Misty Faces have ads?

Neither LING HUI nor Misty Faces 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.*