Adobe Inc.
VoyagerX, Inc. · Public App Store profile
Comparison fields grouped by how AppPulse uses them. The first group keeps only derived ASO signals that are not duplicated elsewhere.
| Field | Current value | Comparison use |
|---|---|---|
| Title search terms | vflat scan pdf scanner ocr | |
| Description support terms | book pages text automatically without scanning documents capturing document captured images files access fast recognizes results having curved they recognition scanned jpg txt convert | |
| Detected intent signals | Document editing | |
| Unique metadata terms | vflat scan pdf book pages text scanner ocr automatically without scanning documents capturing document captured images files access fast recognizes |
| Field | Current value | Comparison use |
|---|---|---|
| App Store ID | 1540238220 | |
| Bundle ID | com.voyagerx.scanner | |
| Title | vFlat Scan - PDF Scanner, OCR | |
| Subtitle | No subtitle captured | |
| Developer | VoyagerX, Inc. | |
| Developer ID | 1477811798 | |
| Developer URL | https://apps.apple.com/us/developer/voyagerx-inc/id1477811798?uo=4 | |
| Category | Productivity |
| Field | Current value | Comparison use |
|---|---|---|
| Current version | 1.33.6 | |
| Original release date | Nov 22, 2020 | |
| Current version release date | May 28, 2026 | |
| Release notes | minor bugs are fixed. |
| Field | Current value | Comparison use |
|---|---|---|
| Rating | 4.8 | |
| Rating count | 5,848 | |
| Price | Free | |
| In-app purchases | No data | |
| App Store URL | https://apps.apple.com/us/app/vflat-scan-pdf-scanner-ocr/id1540238220?uo=4 |
| Field | Current value | Comparison use |
|---|---|---|
| App size | 232.6 MB | |
| Age rating | 4+ | |
| Languages | AR, CS, NL, EN, FR, DE, HI, ID, IT, JA, KO, MS, NB, FA, PL, PT, RU, ZH, SK, ES, SV, TH, ZH, TR, UK, VI | |
| Screenshots tracked | 18 |
Raw public description text captured from Apple. Derived keyword signals are summarized in App characteristics.
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
Current unique App Store screenshots captured by AppPulse. Showing 8 of 18.
Public App Store fields grouped by update date. Text, icon, and screenshot changes open inline, so the detail stays next to the update.
Ranked by source-relative App Store metadata, functional intent, ASO terms, and category context.
Ranked by source-relative App Store metadata, functional intent, ASO terms, and category context.
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