Lilly - Private AI Note taker
Confedential AI meeting notes
About
Record, transcribe, and summarize meetings locally on your device. This app ensures complete privacy by processing all data on-iPhone, with no servers or cloud involvement. It's ideal for sensitive discussions where confidentiality is paramount.
What's New in Lilly
1.0
June 8, 2026
Developer apps
FAQ
What is Lilly?
Lilly is a private AI note-taker that records, transcribes, and summarizes your meetings entirely on your iPhone. It prioritizes user privacy by processing all data locally, without using servers or the cloud.
Does Lilly require an internet connection?
After an initial one-time download of AI models (approximately 3.3 GB), Lilly works fully offline. No internet connection is needed for recording, transcription, or summarization.
How does Lilly ensure privacy?
Lilly processes all audio and transcripts on-device, meaning your data never leaves your iPhone. It also avoids analytics, telemetry, and crash reporting with content, making it highly secure for confidential meetings.
What are the device requirements for Lilly?
Lilly requires an iPhone 16 or later with an A18 chip, running iOS 18. This ensures the device has the necessary processing power for on-device AI operations.
How does Lilly identify speakers?
Lilly uses speaker diarization to identify and label different speakers in your recordings. You can name them after the meeting, and these names will be applied consistently throughout the transcript and summary.
What is the price of Lilly?
Lilly is a paid application, available for a one-time purchase of $0.99. This price grants you access to all its features without any recurring subscription fees.
How often is Lilly updated?
Lilly was last updated on June 8, 2026, with version 1.0. As a new application, future updates will likely focus on performance improvements and feature enhancements based on user feedback.
Does Lilly have ads?
No, Lilly is ad-free. As a paid application, it does not contain any advertisements, ensuring an uninterrupted user experience.
