Hit Record and Forget
Capture the entire jam or rehearsal session, then let FR-1 do the hard work.
Find the Music
Automatically detect music clips, speech are also transcribed. Play the music only, like a live album.
Play at Variable Speeds
Slowdown or speedup playback for review and practice.
Document Your Tunes
Location tagging, metadata editing. Traditional Tune Name reference database.
No Ads or Subscription
Free download, one-time purchase to unlock advanced features.
Private by Design
All analysis and transcription run locally on your device.
FR-1 Pro
FR-1 is free to download and use. FR-1 Pro is a one-time purchase of $4.99. Upgrading to Pro supports future development and unlock the following features:
- Clip Editor: edit, split and merge clips
- Import Audio Files from Voice Memo and other sources
- Variable speed playback
- Starring clips for reference
To make the app accessible to all, limited number of free upgrade codes are also available upon request, please email me.
Support
Feedback is welcome via email. As the sole developer, I will try to read all comments but cannot respond to all.
Privacy Policy
FR-1 does not collect any data from you. Any data and settings are saved to your device only.
Your device's microphone is used to record audio. All analysis and speech transcription run locally and privately on your device — your audio is never uploaded or sent anywhere.
When you enable location tagging, FR-1 uses your phone's location once during each recording to tag the recording; location metadata is only stored alongside your recording and never leaves your phone.
Traditional Tune Sources
Traditional tune names compiled from the following sources. Last updated: 2026.9
The Session
Community website dedicated to Irish traditional music
ODC Open Database License (ODbL)
The Traditional Tune Archive
The Semantic Index of North American, British and Irish traditional instrumental music with annotations
Creative Commons BY-SA 4.0
Version History
1.1.1
- Mini player to keep the recording playing while navigating in the app
- Bugfixes for iPad
1.1 — Initial release
LLM Usage
LLM-based ("AI") tools were used in the programming of this app under human review. >95% of the code was generated using LLM.
All graphics & human interface was created and designed by hand.
Tune database was compiled manually, and not processed by LLM.