# 图片转文字 vs 数独数字

The clearest difference is iOS requirement: 图片转文字 at 13.0 against 数独数字's 15.6. On price, ads, in-app purchases and device support there is nothing between them.

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

## The numbers

| Metric | 图片转文字 | 数独数字 |
| --- | --- | --- |
| Price | Free | Free |
| Rating | **[4.9 (30 ratings)](https://appshunter.io/ios/app/pdf/id1544434255/reviews)** | — |
| Number of ratings | **30** | — |
| Positive reviews | 100.0% of reviews | — |
| In-app purchases | No | No |
| Ads | Yes | Yes |
| Update frequency | Every 3 weeks | — |
| Monetization | Ad-supported | — |
| Size | 30 MB | 17 MB |
| Requires iOS | **13.0** | 15.6 |
| Devices | **iPhone, iPad, iPod** | iPhone, iPod |
| Age rating | 4+ | 17+ |
| Developer | [德优 林](https://appshunter.io/developer/1481154278) | [Shenzhen Duoxiang Technology Co., Ltd](https://appshunter.io/developer/1534573413) |

## What reviewers say

### 图片转文字

[App page](https://appshunter.io/ios/app/pdf/id1544434255)

This free scanning tool uses OCR technology for highly accurate text recognition from images. It supports multiple languages, batch processing, and various export formats including PDF, DOCX, and XLSX. It also offers document scanning with smart filters and editing capabilities.

**Highlights:** High-precision OCR text recognition, Multi-language support (Chinese, English, Japanese, etc.), Batch image processing, Export to PDF, DOCX, TXT, XLSX, Document scanning with smart filters, Handwriting recognition, Selectable text regions

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

**In-app purchases:** none


### 数独数字

[App page](https://appshunter.io/ios/app/id6744307812)

**Features:** macOS Compatibility

**In-app purchases:** none


## Frequently asked questions

### Is 图片转文字 free?

图片转文字 is free to download, with no in-app purchases.

### Is 数独数字 free?

数独数字 is free to download, with no in-app purchases.

### Do 图片转文字 or 数独数字 have ads?

Both 图片转文字 and 数独数字 show 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.*