# ScanScan(白描) vs 图片转文字

The clearest difference is in-app purchases: 图片转文字 at none against ScanScan(白描)'s 5. 图片转文字 also leads on review sentiment (100% vs 87%) and update cadence (every 3 weeks vs every 2 months). ScanScan(白描)'s advantage is ads (none vs shown) and ratings volume (349 vs 30). On price, rating and device support there is nothing between them.

Both are free to download. ScanScan(白描) sells 5 one-off in-app purchases. 图片转文字 asks for nothing beyond the download.

On the App Store both sit at effectively the same score — 4.8 for ScanScan(白描) against 4.9 for 图片转文字. That said, the two scores are not equally well evidenced: ScanScan(白描) has 349 ratings behind it against 30, so its average is the more settled of the two. Written reviews are what separate them: 87% of ScanScan(白描)'s written reviews are positive against 100% of 图片转文字's.

ScanScan(白描) ships an update every 2 months, 图片转文字 every 3 weeks. The most recent releases landed on November 11, 2026 and November 3, 2026 respectively.

## The numbers

| Metric | ScanScan(白描) | 图片转文字 |
| --- | --- | --- |
| Price | Free | Free |
| Rating | [4.8 (349 ratings)](https://appshunter.io/ios/app/scanscan-ocr-text-scanner/id1249901692/reviews) | **[4.9 (30 ratings)](https://appshunter.io/ios/app/pdf/id1544434255/reviews)** |
| Number of ratings | **349** | 30 |
| Positive reviews | 86.7% of reviews | **100.0% of reviews** |
| In-app purchases | Yes | **No** |
| Ads | **No** | Yes |
| Update frequency | Every 2 months | **Every 3 weeks** |
| Monetization | **Free** | Ad-supported |
| Size | 47 MB | 30 MB |
| Requires iOS | 15.0 | **13.0** |
| Devices | **iPhone, iPad, iPod, Mac** | iPhone, iPad, iPod |
| Age rating | 4+ | 4+ |
| Developer | [新乐 陶](https://appshunter.io/developer/826439308) | [德优 林](https://appshunter.io/developer/1481154278) |

## What reviewers say

### ScanScan(白描)

[App page](https://appshunter.io/ios/app/scanscan-ocr-text-scanner/id1249901692)

Extract editable text from images and documents, convert them to PDF, and translate content. This powerful scanner app uses machine learning for accurate OCR and supports batch processing for efficient document management.

**Highlights:** Accurate OCR with machine learning, Scan documents to PDF, Edit and export OCR results (.txt, .docx), Multi-language text recognition and translation, Batch processing for images and documents, PDF to image conversion, Automatic document boundary detection

**Features:** Vision Pro support

**In-app purchases (5)**

| Purchase | Price | Billing |
| --- | --- | --- |
| Provide food for cat | $2.99 | one-time |
| 普通会员(永久) | $3.99 | one-time |
| 普通会员(优惠) | $3.99 | one-time |
| 黄金会员(优惠) | $3.99 | one-time |
| Senior VIP (Permanent) | $5.99 | one-time |


### 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


## Frequently asked questions

### Is ScanScan(白描) free?

ScanScan(白描) is free to download, with in-app purchases available.

### Is 图片转文字 free?

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

### Which has better reviews, ScanScan(白描) or 图片转文字?

图片转文字 is rated higher. ScanScan(白描) averages 4.8 out of 5 from 349 ratings, while 图片转文字 averages 4.9 from 30 ratings.

### Do ScanScan(白描) or 图片转文字 have ads?

图片转文字 shows ads; ScanScan(白描) does not.

### Which is updated more often, ScanScan(白描) or 图片转文字?

ScanScan(白描) ships an update every 2 months, and 图片转文字 every 3 weeks. Most recently, ScanScan(白描) was updated on November 11, 2026 and 图片转文字 on November 3, 2026.

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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.*