Privacy Policy — PrivyPDF (iOS)
Last updated: February 2026
PrivyPDF is a private, offline-first PDF Q&A application for iOS. We are committed to protecting your privacy. This policy explains how PrivyPDF handles—or does not handle—your data.
1. Core Principles
- Offline-first: Your PDF documents, vector indexes, and chat history are stored locally on your device.
- No data collection: We do not collect, transmit, or store any of your personal data on our servers.
- No tracking: We do not use any analytics, tracking, or advertising SDKs.
2. Data Storage
Local Storage
PrivyPDF stores the following data locally on your iPhone or iPad:
- Documents: PDF files you import into the app.
- Vector Indexes: Local embeddings generated from your documents for search and production of answers.
- Chat History: All questions and answers exchanged with the AI.
- App settings: Preferences such as theme selection, Ollama server URL, and model configurations.
3. AI Processing & Privacy
PrivyPDF uses Local Large Language Models (LLMs) to answer your questions.
- Local Network Only: The app connects to an Ollama
instance running on your local network (e.g., your Mac or Linux server)
via a LAN address you configure (e.g.,
http://192.168.1.x:11434). - No Cloud Processing: Your documents and questions are sent exclusively to your self-hosted Ollama instance. No data is sent to any external AI services (like OpenAI, Anthropic, or Google) or cloud endpoints.
Network Requests
PrivyPDF makes the following network requests:
- Ollama Connection: Requests to your configured local Ollama server to generate embeddings (for search) and chat responses.
- No other requests: The app does not connect to the internet for any other purpose.
4. What We Do Not Do
- We do not collect usage data or analytics
- We do not sell or share data with third parties
- We do not track your behavior
- We do not require registration or login
- We do not use ads or third-party SDKs
5. Third-Party Services
PrivyPDF does not integrate any third-party analytics, advertising, or tracking services. The PDF rendering and vector search logic run entirely locally.
6. Data Security
Because all data is stored locally, the security of your data depends on your device's security settings. We recommend:
- Setting a strong passcode or Face ID / Touch ID
- Keeping your iOS version up to date
- Ensuring your local network is secure when connecting to Ollama
7. Children's Privacy
PrivyPDF is not directed at children under 13. We do not knowingly collect personal information from children.
8. Policy Changes
We may update this privacy policy from time to time. Material changes will be communicated in-app or through other appropriate means.
9. Contact Us
For privacy-related questions, please contact:
- Developer: Ken Wang
- Bundle ID (Free): com.kenelite.privypdf.free
- Bundle ID (Pro): com.kenelite.privypdf.pro
- GitHub: github.com/kenelite/PrivyPDFIOS