Send.Morse vs Morse Decoder AI

Morse with your eyes. Blink short for a dit, long for a dah, and Send.Morse turns it into text. Then send your message on as light, sound and vibration. BLINK INSTEAD OF TYPING The front camera follows your eyes, so you can key Morse completely hands-free. Frames stay on your device and are never recorded. SEE EVERY DIT AND DAH Send with the screen flash, the torch, a tone and haptics. The live preview marks the character going out and the exact signal within it. DECODE BY TAPPING ALONG Spotted a flashing light or heard a tone? Tap along on the pad, and Send.Morse turns your rhythm into letters. SOS IN ONE TAP The distress signal starts at once, in full screen. PRIVATE AND TUNED TO YOU Key the word PARIS once and the app calibrates to your rhythm. No ads, no account, no data collected. Also inside: an in-app Morse keypad for writing with dits and dahs, freestyle keying and the full character table. In English, German, Spanish and Croatian.

The Morse Decoder AI is an application for decoding Morse code signals using artificial intelligence. The application is designed for use by amateur radio enthusiasts for educational purposes. The Morse decoder listens to the audio stream through the microphone or line input and, upon detecting Morse code signals, decodes them into text. The neural network of the application is trained to decode signals with a speed ranging from 10 to 40 words per minute within a frequency range of 200 Hz to 900 Hz. The application supports two modes of operation: direct (default) and tone filtering mode. In direct mode, the neural network will attempt to decipher Morse code signals in the audio range of 250 Hz to 900 Hz. This mode is suitable for confident reception of Morse code at levels of 7db-9db on the S-meter. The tone filtering mode is ideal for decoding Morse code from noisy weak signals in the presence of radio interference. The audio input signal is first filtered using band-pass filters before being passed to the neural network for decoding. This mode allows for the decoding of faint signals, but it requires the accurate specification of the signal's tone frequency. Each radio amateur selects their own CW tone frequency in the transceiver settings, and it is important to tune precisely to the carrier frequency using the ZIN/SPOT button in YAESU transceivers, or the AUTOTUNE button in ICOM transceivers. There are 3 band-pass filter options available: 25Hz, 50Hz, 150Hz. If you can accurately determine the CW signal tone frequency, using the 25Hz filter, you can decode very faint Morse code signals. The application offers two neural network options: A and B, which can be easily switched in the interface. Network A is recommended for use with stable signal transmission with a constant duration of dots and dashes, while network B is recommended when using a straight key, where the duration of dots and dashes may vary. You have the ability to switch between these networks in real time and observe how each network hears and decodes Morse code. It is important to monitor the level of the incoming audio signal, for which the application provides a sound level indicator. Ensure that the signal is not too quiet or too loud. It is recommended to maintain the signal around -7db, which is sufficient for decoding. Keep in mind that higher audio frequencies are quieter than lower frequencies. Additionally, the application provides various color themes, allowing radio enthusiasts to customize the appearance of the application for comfortable use.