Local Minder vs Pagecrisp

ocalMind is a privacy-first AI task manager that runs entirely on your device. Capture ideas with voice or text — the on-device AI parses them into structured tasks with due dates, priorities, and tags. No cloud. No account. No data ever leaves your phone. KEY FEATURES - Quick Capture: Voice or text input turns natural language into tasks instantly - On-Device AI: Smart parsing powered by on-device LLM — works without internet - 100% Offline: All data stays on your device, encrypted at rest - Rule-Based Parsing: Free tier extracts dates, priorities, and tags automatically - Task Management: Today view, upcoming tasks, priority sorting - Notes: Capture thoughts that aren't tasks - Daily Summary: Optional notification to review your day - Export: Share tasks as JSON (Premium) PRIVACY BY DESIGN LocalMind doesn't just promise privacy — it enforces it by architecture. There are no servers, no accounts, no analytics, and no network calls. Your data is encrypted locally with SQLCipher and never transmitted anywhere. FREE VS PREMIUM Free: Full capture, rule-based parsing, task management, notes, daily summary Premium: On-device LLM for smarter parsing, JSON export, priority support Get premium with a one-time purchase or monthly subscription. BUILT FOR YOU Whether you're a privacy-conscious professional, a student capturing lecture notes, or someone who just wants a fast, reliable task manager — LocalMind gets out of your way and lets you focus on what matters. Terms of use: https://www.apple.com/legal/internet-services/itunes/dev/stdeula/

Turn separate scans into a navigable document packet. Choose saved PDFs, arrange sections and build a separate PDF with a cover, linked contents page and section bookmarks. HOW IT WORKS 1. Open the library → Build document packet. Enter a packet title and add saved PDFs. 2. Edit section titles and use Edit to reorder or remove sections. 3. Build the packet and review the total page count and PDF preview. 4. Export the packet PDF or share an assembly receipt with input and output hashes. The source scans remain unchanged. 5. Changing the title or sections clears the frozen result. Build again to refresh it. Use the existing camera, import, OCR and local PDF-library tools to prepare source documents, then assemble a packet for handoff without altering those originals. WHAT TO KNOW Up to 16 documents, 200 source pages, 50 MB per input and 100 MB combined. Encrypted or copying-restricted PDFs are rejected. Existing text and page orientation are preserved, but image-only pages do not gain OCR from packet assembly. Newly generated contents links and section bookmarks target the packet; verify pre-existing source links separately. The packet is exported as a separate file and is not automatically added to the scan library. Built for iPhone and iPad. No account required for this workflow.