SlipCase

Dokumentų valdymo ir elektroninio parašo įrankiai

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A local-first document management and organization tool designed for iPhone users to securely capture, store, and retrieve important papers, certificates, receipts, and contractual documents. It offers features such as scanning with the camera or importing digital files, local optical character recognition (OCR) for in-text searching, biometric security with Face ID or Touch ID, customizable categorization and tagging, and the ability to export documents in PDF or PNG formats with optional watermarks for clarity and purpose, all while prioritizing user privacy by ensuring data remains solely on the device with optional encrypted cloud sync. This application aims to solve problems related to document clutter, secure storage, quick retrieval, and privacy concerns for individuals who need to manage personal or professional paperwork efficiently and securely.

SlipCase galima rasti Document Management & eSignature Tools kategorijos.

Panašiausi į SlipCase produktai yra šie:

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SlipCase Pagrindinės savybės

• Watermarking
  Add special labels or custom watermarks to your documents before sharing for clear purpose identification.
• Export Options
  Save documents as PDF or PNG, combine pages, customize settings, and add watermarks or passwords.
• Organizing Tools
  Sort documents into folders, categories, tags, and mark favorites or archive them.
• Privacy Approach
  All data stays on your device, and the app does not use third-party trackers or servers.
• Sync with iCloud
  Your documents can be safely synchronized with iCloud using Apple’s private CloudKit when available.
• Biometric Locking
  Use Face ID or Touch ID to lock individual documents or the app for more privacy.
• On-device OCR Search
  Find text within documents by searching recognized text stored on your device.
• Local Document Wallet
  Keep important copies of documents organized, searchable, and easy to export.
• Scanning and Importing
  Use your camera or import images and PDFs from Photos and Files to add documents.
• Supported Languages for OCR
  Recognizes and searches text in Simplified Chinese, Traditional Chinese, English, and Japanese.

Ženkleliai

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