Comparison

图片转文字 vs Image to Text

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

Head to head
About

图片转文字

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
Read full description

图片转文字是一款对图片进行高精准的ocr文字识别的免费的扫描工具。 图片转文字集成以下功能: — 识别语言支持中/英,英文,日语,韩语,俄语,意大利,以及手写文字等多种语种识别。 — 它能便捷高效对图片进行批量拍照识别,支持识别结果进行pdf,docx,txt文档导出。 — 对文件高清扫描,智能滤镜,精准裁边,支持一键导出,打印。 — 扫描证件,添加水印,生活办公的好帮手。 — 图片高度还原excel,支持xlsx文件导出。 — 对识别结果能自由的通过涂鸦选中需要查看的文字区域。 — 扫描结果实时保存,方便小伙伴们查看结果,也可以看到是一款小型的文件存储软件。 还有更多功能需要小伙伴们去发现哦….. 希望小伙伴们能喜欢这款软件。

About

Image to Text

Convert images into editable text with advanced OCR technology. Recognize text from photos or your camera, edit, and export documents securely. Manage your recognized text history efficiently.

Highlights
  • Image to Text OCR recognition
  • Accurate cloud OCR engine
  • Intelligent segmentation
  • Document editing and copying
  • History management
  • Document security encryption
  • Card, ID, invoice recognition
Features
Read full description

Easily convert image to text. This is a powerful app to recognize any text from an image. Features - Image to Text Intelligent OCR text recognition,scan the text from an image taken with your phone's camera or photo gallery. - Accurate recognition Use cloud OCR intelligent recognition engine, fast recognition speed and high accuracy - Intelligent segmentation Intelligent segmentation of recognition results -Document editing and export - The recognized text can be edited and copied - History management The recognized historical files will be stored in an orderly manner, and can be edited any time. - Document security encryption Uploads of pictures, documents, etc. are encrypted, so there is no need to worry about privacy and security issues - Document scanning Support bank card, ID card, invoice, driver's license, driving license, business license, license plate number recognition Subscription instructions: 1. Subscription service: You can choose annual subscription 2. Subscription price: The subscription price depends on the selected subscription package, and the actual price shall prevail 3. Free trial: The free trial period is 3 days. After the free trial subscription ends, it will automatically renew. If you need to cancel the subscription, please cancel 24 hours before the renewal 4. Automatic renewal: Subscription will automatically renew unless you turn off automatic renewal at least 24 hours before the end of the current subscription period Privacy Policy:https://icreamapp.home.blog/2021/03/10/privacy-policy-11/ Terms of Use:https://icreamapp.home.blog/2021/03/10/terms-of-use-2/

Screenshots

图片转文字4 screens
Image to Text4 screens

Verdict

The call

The clearest difference is review sentiment: 图片转文字 at 100% against Image to Text's 10%. 图片转文字 also leads on rating (4.9 vs 4.4) and in-app purchases (none vs 3). Image to Text's advantage is ads (none vs shown). On price, ratings volume, device support and iOS requirement 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. Image to Text sells 3 in-app purchases, starting at $3.99 per 7 days. 图片转文字 asks for nothing beyond the download.

ReceptionRating · Positive reviews · Number of ratings

图片转文字 holds the better App Store score, 4.9 against 4.4. Both are backed by a comparable volume of ratings — 30 and 22 respectively. Written reviews point the same way: 100% of 图片转文字's written reviews are positive against 10% of Image to Text's.

UpkeepUpdate frequency

图片转文字 ships an update every 3 weeks, Image to Text every 10 months. The most recent releases landed on October 2, 2026 and October 4, 2026 respectively.

Scorecard6 real differences · 4 level
图片转文字 versus Image to Text: the parameters behind the verdict, then further details
Parameter图片转文字Image to Text
PriceFreeFree
Rating4.9 (30 ratings) — better4.4 (22 ratings)
Positive reviews100.0% of reviews — better10.0% of reviews
Number of ratings30 — better22
Update frequencyEvery 3 weeks — betterEvery 10 months
AdsYesNo — better
In-app purchasesNo — betterYes
MonetizationAd-supported — betterFreemium
DevicesiPhone, iPad, iPod — betteriPhone, iPod
Requires iOS13.012.0 — better
Further details — not scored
Size30 MB39 MB
Age rating4+4+
Developer德优 林婧 李

Customer experience

图片转文字

All ratings30 ratings
Positive100.0%
Neutral0.0%
Negative0.0%
Written reviews2 reviews
Positive100.0%
Neutral0.0%
Negative0.0%

Image to Text

All ratings22 ratings
Positive81.8%
Neutral4.5%
Negative13.6%
Written reviews10 reviews
Positive10.0%
Neutral0.0%
Negative90.0%

In-app purchases

None

图片转文字

No in-app purchases

3 purchases

Image to Text

Subscriptions2
  • OCR Weekly Subscription3 Days trial$3.997 Days
  • OCR Annual Subscription3 Days trial$19.991 Year
One-time1
  • Lifetime member$24.99

Questions

Is 图片转文字 free?
图片转文字 is free to download, with no in-app purchases.
Is Image to Text free?
Image to Text is free to download, with in-app purchases available.
Which has better reviews, 图片转文字 or Image to Text?
图片转文字 is rated higher. 图片转文字 averages 4.9 out of 5 from 30 ratings, while Image to Text averages 4.4 from 22 ratings.
Do 图片转文字 or Image to Text have ads?
图片转文字 shows ads; Image to Text does not.
Which is updated more often, 图片转文字 or Image to Text?
图片转文字 ships an update every 3 weeks, and Image to Text every 10 months. Most recently, 图片转文字 was updated on October 2, 2026 and Image to Text on October 4, 2026.

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