4.8
5,801 条评分
★★★★★
2026年4月23日
2020年11月22日
更新内容
v1.33.4minor bugs are fixed.
应用信息
- 开发者
- VoyagerX, Inc.
- 分类
- Productivity
- 价格
- 免费
- 版本
- 1.33.4
- App ID
- 1540238220
简介
An Ultra-convenient, Lightning-fast, High-quality scanning app vFlat. Main features of vFlat Auto-Recognizing of Scan Area vFlat automatically recognizes borders of documents or book pages to scan. You can get clear-cut scan results from any angle without manual cropping. Automatic Capturing It recognizes the scan target and captures automatically without having to press the button repeatedly. Scanning is quicker and easier when capturing hundreds of book pages or a lot of paperwork. Flattening Curved Pages It automatically straightens the curved surface of book pages. vFlat Scans as if they were captured with a professional book scanner, without having to taking pieces of the book. Two-page Capturing The left and right pages of a book are captured with a single click and they are automatically divided and saved. Get fast results, even when scanning thick books. Free Text Recognition (OCR) It converts scanned images to text for free through text recognition. You can copy the converted text and easily share it with friends or colleagues. Exporting to various formats (PDF, JPG, TXT) You can convert scanned images into PDF files and image files(JPG) and text files(TXT). You can convert the file into a format suitable for your purpose. Terms of Use and Privacy Policy vFlat does not collect your personal information and scan data without your explicit consent. · Terms of Use https://vflat.page.link/terms_en · Privacy Policy https://vflat.page.link/privacy_en Information on access rights · Camera: Camera access is required to take a document. · Photo Library: Access permission is required to save captured images to the photo library. (Optional) We look forward to hearing from you! If you like vFlat, please leave a review. Please send your comments and suggestions about vFlat to the channels below. · Email: support@vflat.com
下载量预测
预估总下载量
6K
低 / 月
9K
预估 / 月
17K
高 / 月
基于评分数量 ÷ 类别评分率估算,实际下载量误差可达 ±50%,与 Sensor Tower 方法一致。
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