SDR vs Morse Decoder AI
Price, ratings, monetisation and update history for both apps, side by side — with what reviewers say about each.
SDR
Control your Icom transceiver remotely or locally from your iPhone. Operate in all modes, log QSOs, and utilize integrated digital modes like FT8/FT4 and SSTV. No extra hardware is needed for global access.
- Remote transceiver operation
- All mode control
- Auto logging logbook
- Integrated FT8/FT4 tool
- Integrated SSTV receiver
- Integrated CW decoder and keyer
- DX-Cluster integration
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Software Defined Radio Client for Icom Transceivers and your iPhone SDR-Control Mobile is a full featured iPhone App to operate your Icom Transceiver at home or from around the world without additional Hard- or Software. Important: This App requires one of the following Icom Transceivers: IC-705, IC-7610, IC-9700, IC-7760 or the IC-R8600 Receiver or the new IC-7300 MK2 FACTS AND FEATURES: ■ Native iOS 26 app, backward compatible to iOS 17 ■ Compatible with any iPhone ■ Complete operation of your Icom Transceiver in all modes ■ Use the App local or to remote access of your Transceiver from any place without additional Hard- or Software ■ Logbook with auto logging, ADIF Im-/Export ■ UDP Log submission when using external logging software ■ Integrated full featured FT8 / FT4 Tool ■ Integrated SSTV receiver (NEW) ■ Integrated CW Decoder ■ Integrated CW Keyer ■ DX-Cluster integration ■ Call sign lookup integrated ■ Displays Calls on Map with heading and distance information ■ And much more... WHAT YOU NEED: - An Icom IC-705, IC-7610, IC-9700 or IC-7760 Transceiver or IC-R8600 Receiver or the new IC-7300 MK2 - The Transceiver needs to be connected to your Network (WiFi or LAN) - No USB cable needed or supported - An iPhone that runs at least iOS 17 Find out more here: https://ham-radio-apps.com Read the Manual: http://go-to.me/sdrcontrol-mobile-manual
Morse Decoder AI
This AI-powered tool decodes Morse code signals from audio input, ideal for amateur radio enthusiasts. It offers two modes and neural network options for various signal conditions and speeds, with customizable themes.
- AI-powered Morse code decoding
- Two operational modes (direct and tone filtering)
- Adjustable decoding speed (10-40 WPM)
- Two neural network options (A and B)
- Adjustable audio input monitoring
- Customizable color themes
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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.
Screenshots
Verdict
The clearest difference is review sentiment: SDR at 84% against Morse Decoder AI's 11%. SDR also leads on rating (4.5 vs 2.0) and ratings volume (64 vs 4). Morse Decoder AI's advantage is price ($2.99 vs $44.99) and update cadence (weekly vs every 2 weeks). On ads, in-app purchases and monetization model there is nothing between them.
Scored on Price · Rating · Positive reviews · Number of ratings · Update frequency · Ads · In-app purchases · Monetization · Best chart rank · Devices · Requires iOS
SDR costs $44.99 and Morse Decoder AI $2.99 up front. Neither carries in-app purchases, so what you see is what you pay.
SDR holds the better App Store score, 4.5 against 2.0. That said, the two scores are not equally well evidenced: SDR has 64 ratings behind it against 4, so its average is the more settled of the two. Written reviews point the same way: 84% of SDR's written reviews are positive against 11% of Morse Decoder AI's.
SDR ships an update every 2 weeks, Morse Decoder AI weekly. The most recent releases landed on October 11, 2026 and October 10, 2026 respectively.
| Parameter | SDR | Morse Decoder AI |
|---|---|---|
| Price | $44.99 | $2.99 — better |
| Rating | 4.5 (64 ratings) — better | 2.0 (4 ratings) |
| Positive reviews | 84.1% of reviews — better | 11.1% of reviews |
| Number of ratings | 64 — better | 4 |
| Update frequency | Every 2 weeks | Weekly — better |
| Ads | No | No |
| In-app purchases | No | No |
| Monetization | Paid | Paid |
| Best chart rank | #198 — better | — |
| Devices | iPhone | iPhone, iPad, iPod — better |
| Requires iOS | 17.6 | 12.0 — better |
| Further details — not scored | ||
| Size | 47 MB | 60 MB |
| Age rating | 4+ | 4+ |
| Developer | Marcus Roskosch | Yuriy Kvasha |
Customer experience
SDR
Morse Decoder AI
Bugs and requests
SDR
Reported bugs
12 issues- Dialogs do not scale with larger text setting
- Frequency display overlaps buttons
- FT8 decoding issues (lower signal levels than WSJTX)
- App crashes and leaves radio in transmit
- Logbook export not functional after update
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- Function button for horizontal scrolling not fully displayed
- FT8 decode is useless and unreliable
- Messed up radio, requiring reset
- RX audio unusable outside home network (prior to 1.5.1)
- Struggles with audio RX packets on remote cellular networks
- Cannot work over mobile data with certain carriers (EE)
- FT8 alerts sound but don't display
Requested features
14 requests- Develop for IC-7800
- CarPlay support
- Apple Watch add-on
- Windows version
- JS8call support
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- More digital modes
- Display memory bank names
- Initiate memory scan from app
- WSPR implementation
- Tool for WSPR
- More FT8/FT4 features (e.g., setting transmit frequency directly in FT8 view)
- Send image to unit
- KISS TNC support
- Control digital modes (reflectors, etc.)
Morse Decoder AI
Not enough reviews yet to summarise bugs or requests.
In-app purchases
SDR
No in-app purchases
Morse Decoder AI
No in-app purchases









