PrivScanner - Batch Scan & OCR

Produttività

Solo per iPhone

Gratis · Acquisti in‑app · Progettata per iPhone

iPhone

PrivScanner: Next-Generation Offline AI Scanning Tool PrivScanner is an intelligent application that integrates document scanning, PPT photo processing, and text extraction. It supports one-click batch conversion of document photos and PPT photos into PDF, and text extraction into Word, making your work more efficient. Unlimited scanning functionality, free to use without limits. Key Features - High-Precision Offline Recognition: Optimized algorithms for recognizing PPT screens and documents, achieving high-precision and fast recognition without the need for internet. - Smart Cropping and Correction: AI technology automatically performs cropping, perspective correction, image alignment, and text extraction, delivering professional results. - Batch Text Extraction to Word: Extracts text from over 50 images at once, with beautiful automatic formatting, placing one image per page. - Batch Image to PDF Conversion: Quickly converts multiple images into high-quality PDF files for easy storage and sharing. - Fast Export to PDF and Word: Exports high-quality PDF and Word files, supporting one-click sharing to social platforms or local storage. User Experience Principles - Privacy First: Never uploads user photos or any personal data, all processing is done locally on the device. - Ad-Free Experience: Minimalist UI design with no ads or notifications, focusing solely on your user experience. - Exceptional Performance: The app is highly compact, developed natively for superior performance. Problems We Aim to Solve - Scanning Sensitive Documents: Worried about data leaks? PrivScanner uses advanced offline AI technology to keep your files safe. - Classroom and Meeting Notes: Need to manually crop photos of lecture slides and PPTs? PrivScanner automatically detects PPT screen areas, saving you time and effort. - Bulk Document Processing: Processing 100-page documents one by one is time-consuming? PrivScanner handles large numbers of images in one go, quickly and easily. We Value Your Feedback If you have any suggestions or issues, please contact us via email: - afforwork@outlook.com Terms of Service and Privacy Policy - https://www.apple.com/legal/internet-services/itunes/dev/stdeula/ - https://thinkworld.club/privacy6.html Thank you for choosing PrivScanner and experiencing the next generation of intelligent scanning!

  • L’app non ha ricevuto un numero sufficiente di valutazioni o recensioni per poter mostrare una panoramica.

- Fixed the issue of not being able to access the paywall in mainland China

Lo sviluppatore, 颖 胡, ha indicato che le procedure per la tutela della privacy dell’app potrebbero includere il trattamento dei dati descritto di seguito. Per scoprire di più, consulta l’informativa sulla privacy dello sviluppatore .

  • Dati non raccolti

    Lo sviluppatore non raccoglie alcun dato da quest’app.

    Le procedure per la tutela della privacy potrebbero variare, ad esempio in base alle funzionalità che utilizzi o alla tua età. Scopri di più

    Lo sviluppatore non ha ancora indicato le funzioni di accessibilità supportate dall’app. Scopri di più

    • Dimensioni
      • 6,4 MB
    • Categoria
      • Produttività
    • Compatibilità
      Richiede iOS 16.0 o versioni successive.
      • iPhone
        Richiede iOS 16.0 o versioni successive.
      • Mac
        Richiede macOS 13.0 o versioni successive e un Mac con chip Apple M1 o versioni successive.
      • Apple Vision
        Richiede visionOS 1.0 o versioni successive.
    • Lingue
      Cinese Semplificato e altre 2 lingue
      • Cinese Semplificato, Giapponese, Inglese
    • Età
      4+
    • Acquisti in-app
      • Pro_Annual 19,99 €
      • Pro_Monthly 2,99 €
      • Pro_Lifetime 34,99 €
    • Fornitore
      YING HU
      • YING HU non si identifica come operatore commerciale per questa app. Se ti trovi all’interno dello Spazio economico europeo, i diritti dei consumatori non si applicano agli accordi tra te e il fornitore.
    • Copyright
      • © 2024 Hu Ying