Morse code (CW communication), cherished by amateur radio operators around the world, now comes to life in a whole new way. 

Invented in 1832 by Samuel Morse, this historic yet enduring method of communication—built from simple combinations of short and long tones—still captivates enthusiasts today. 

With this Android app, you can enjoy the iconic “dit-dah” tones of Morse code using modern smartphone technology. It receives Morse code in real time, converts it into text, and displays it instantly. High-precision, sample-level signal processing ensures exceptionally accurate decoding for an authentic and reliable experience.

Main Features

★ High-Precision Real-Time Decoding
・Speed range: 5–50 WPM (automatic speed and threshold adjustment)
・Fully automatic frequency detection: 400 Hz – 900 Hz (automatically locks onto the strongest signal)

★ Advanced Signal Processing Technologies
・Band-Pass Filter: Removes unwanted noise with a narrow-band filter
・AGC (Automatic Gain Control): Automatically compensates for signal strength fluctuations to maintain stable reception
・Noise Blanker: Eliminates spike noise using an MAD (Median Absolute Deviation)-based algorithm
・State Stabilization: Prevents false detections caused by noise through multi-sample buffering

★ User Interface & Customization
・Font Settings (Change font type and size) Note: This feature is exclusive to the Full Version (paid add-on).

Perfect For

★ Morse Code Beginners Ideal for those curious about Morse code but unsure where to start. Visual aids help you understand the structure of Morse code, significantly enhancing learning efficiency.

★ Amateur Radio Operators
・Improve CW practice: Compare decoded output with what you hear to identify weak points
・Contest support: Practice copying high-speed CW and check your logs
・Portable operations: Use as a decoding aid in mobile or field environments

★ Advanced Operators & Contest Enthusiasts The real-time visual feedback makes this app a powerful tool for improving high-speed CW reception and monitoring during contests. Even under weak-signal or noisy conditions, visual assistance enhances decoding accuracy.