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CwGet v2.55 is a software application for amateur radio operators designed to decode Morse code (CW) signals into text using a standard computer sound card, eliminating the need for specialized hardware. The program features a customizable interface with a spectrum display for visualizing signal frequencies and peaks, an oscillogram for monitoring signal presence and setting detection thresholds, and a received symbols window for displaying decoded text. Key functionalities include Automatic Frequency Control (AFC) to lock onto signals, adjustable FIR and IIR filters for noise reduction, and a burst filter to mitigate short noise impulses. It also supports automatic CW speed detection, multiple character sets, and the ability to record and replay received audio. Integration with logging software like AALog is facilitated through double-click word transfer, and transceiver frequency control is possible via the Omni-Rig interface, allowing for automatic tuning of the radio's VFO or RIT. The multi-channel decoder feature can simultaneously decode up to five strong signals within a 1600 Hz bandwidth, displayed in a separate Multi-RX Window with an adjustable squelch. CwGet also offers the capability to decode signals from pre-recorded WAVE files and can function as a narrow-band sound DSP filter for aural decoding. This is a commercial version and it has been tested on latest MS Winows versions.

CW Decoder provides a robust solution for amateur radio operators aiming to decode Morse code directly on their computer. The software processes incoming audio, presenting the decoded CW as text on the screen, which can be particularly useful during crowded band conditions or for those refining their copying skills. Additionally, it offers the capability to generate a sidetone, allowing operators to monitor the decoded audio in real-time. The application features a **spectrum display** of the audio input, complete with a sliding cursor. This visual aid enables precise selection of a specific audio frequency for decoding, helping to isolate desired signals from QRM. My field experience with similar decoders confirms that a clear visual representation of the signal greatly improves decoding accuracy, especially when dealing with weak signals or multiple stations. Beyond decoding, the program integrates a **keying function**, allowing users to transmit CW directly from their keyboard. This feature supports full CW break-in operation, which is essential for efficient contesting and DXing, providing immediate switching between transmit and receive modes without manual intervention.

MRP40, a successor to the well-regarded MRP37, offers robust Morse code decoding capabilities by processing analog audio signals via a sound card and displaying the decoded text on a computer monitor. My own field tests with similar sound card decoders confirm that the quality of the audio input and proper signal conditioning are paramount for achieving reliable decoding, especially with _weak signals_. The program also facilitates CW transmission, converting keyboard input into Morse code to key a transceiver, a feature I've found useful for practicing sending or for quick contest exchanges. Beyond its core CW functions, MRP40 incorporates a convenient mini-logbook, which automatically checks for prior contacts and allows for quick logging by double-clicking callsigns in the receive window. This integration streamlines the logging process, a significant advantage during busy operating sessions where every second counts. The software also generates Morse tones using the sound card, a handy utility for testing tone sequences or for basic code practice. Additionally, the suite includes a DTMF decoder and generator, which can be used for decoding telephone dial tones or data transmissions over amateur radio frequencies. It also features MF-TeleType, a sound card-based audio data modem for transmitting text via radio, utilizing a principle similar to DTMF for encoding and decoding, offering a simple method for digital text communication.

DOS Freeware popular program for ham radio communications, supports reception and transmission of radio teletype RTTY, AMTOR ARQ/FEC, SITOR A/B, NAVTEX and Morse code (CW) signals. A decoder for SHIP and SYNOP reports from weather stations is also included. This program is discontinued and unsupported. Originally developped by Schroeder DL5YEC

CW Player version 4 is a simple freeware program generates Morse characters and Q codes. It needs a sound card and at least Windows XP. It can generate morse code from text files, and it includes also a simple decoder function. This is a useful piece of software if you want to learn morse code reception.

RadioRaft decodes 10 different ARQ modes, 8 different FEC modes, Packet, Baudot, CW... It works with a Hamcomm interface or a radiomodem. RadioRaft offers automatic detection of modes, speeds and shift. It comes with a frequencymeter/baudmeter included, it has signal frequency tracking and a bit by bit display mode. Very easy to use. practical and fast.

A free soundcard application supporting PSK31, PSK63, RTTY, CW, and Phone operation. It can decode all PSK QSOs within a 4 KHz segment, maintaining a sorted list of heard callsigns; it can simultaneously decode RTTY via soundcard and an external modem, generates CW directly or via WinKey, and includes a voice keyer. WinWarbler interoperates with the free Commander, DXKeeper, and SpotCollector for transceiver control, logging, and spotting.

Digital modes decoding software for the macintosh. Decodes CW, RTTY, WEFAX, SATFAX, ACARS, DTMF, SSTV

EhoCw is a freeware morse keyer software and a morse code generator and even a morse code decoder. It runs on your PC under windows (from NT to Vista, windows 7). This software can be used efficiently by any telegraphist, confirmed or beginner who wants to use his personnal computer as a memory keyer, you can use it to learn morse code and you can use it to decode morse code

CWLab02 demonstrates a Windows-based software solution for Morse code enthusiasts, enabling both CW and CCW (Computer-Generated CW) sending and receiving within a single, integrated window. The program incorporates an improved CW interface, aiming to simplify the process of decoding and generating Morse code signals. It provides a straightforward method for hams to practice their CW skills or integrate computer-generated code into their operations, supporting real-time interaction with Morse code transmissions. The software's design focuses on ease of use for CCW operations, allowing operators to quickly generate and transmit code. While specific technical details on its decoding algorithms or WPM range are not provided, the emphasis on an "improved CW" suggests refinements in its signal processing capabilities. The ability to send and receive in the same window streamlines the user experience, offering a practical tool for training, casual QSOs, or integrating into a digital shack setup.

Demonstrates an online **CW** audio decoder tool, currently under active development, designed for analyzing and decoding Morse code. Users can upload audio files containing Morse code or record live audio input via a microphone, with processing handled entirely in JavaScript using the Web Audio API. The software analyzes the audio, attempting to determine the pitch and speed, and then decodes the message, providing options to compare the decoded output against a predefined message or a perfectly timed version. The interface allows for setting optional comparison messages, character speed in WPM, and Farnsworth speed. It also features interactive charts for visualizing the audio analysis, where users can zoom with the mouse wheel and pan by dragging. Specific buttons highlight different element types such as intra-character space, inter-character space, extra elements, missing elements, and replaced elements, aiding in detailed signal analysis. Built-in test files are available for immediate analysis, allowing users to quickly evaluate the decoder's performance. The tool is noted to work with specific browsers and is presented as a testing platform for user feedback, indicating ongoing refinement of its decoding algorithms and user interface.

Argo, developed by I2PHD and IK2CZL, functions as a specialized freeware viewer for various weak signal modes, specifically MTHELL, Slow CW, QRSS, and DFCW. It processes audio input to visualize and decode these extremely low-speed transmissions, which are often imperceptible to the human ear. The software's capabilities extend to EME (Earth-Moon-Earth) operations, where its sensitivity to weak signals is particularly advantageous for detecting faint lunar reflections. The application provides a visual representation of the received signals, allowing operators to discern patterns and decode information from signals buried deep within the noise floor. Its design focuses on extracting data from signals with very narrow bandwidths and long integration times, characteristic of QRSS and similar modes. This tool is distinctively useful for experimenters and DXers engaged in challenging weak signal communication, offering a dedicated platform for modes not typically supported by general-purpose digital mode software. Its specialized focus on _Slow CW_ and _MTHELL_ makes it a niche but effective utility for specific operating scenarios.

A site devoted to Amateur Radio Homebrewing, CW-decoder, CW QRP Transceiver for the 40 & 20 meters band, CMOS reader

A program to decode Morse code via sound input of PDA to text. No additional hardware required - your need only receiver and PDA with sound input. Built-in microphone of device can be used also.

The CW Decoder program facilitates copying Morse code with a computer, displaying decoded CW as text, and generating a sidetone. It incorporates a spectrum display of the audio, allowing operators to select a specific audio frequency for decoding via a sliding cursor. This utility also enables keyboard-based transmitter keying, supporting full CW break-in operation for efficient QSO management. Developed by WD6CNF, the software is a Windows-compatible application designed to assist amateur radio operators in their CW activities. Its features cater to both decoding received signals and transmitting via keyboard input, streamlining the CW operating experience. Functionality includes real-time audio analysis and signal processing, providing a visual representation of the CW signal. The program's integrated keying capability offers a direct interface for transmitting, enhancing its utility as a comprehensive CW station tool.

HotPaw MorseDecoder, an iOS application, provides real-time translation of Morse Code audio signals into plain text, leveraging the device's microphone or headset input. It incorporates a DSP narrow-band audio filter, adjustable from 300 to 2400 Hz, to mitigate background noise and QRM, enhancing signal clarity for decoding. The application offers both an automatic decoding mode and manual controls for fine-tuning parameters such as audio filter frequency, WPM dot/dash speed, noise threshold, and Farnsworth timing. The WPM detection automatically adapts from 8 to 40 WPM, with a QRQ High Speed mode extending this range to 30-80 WPM for faster code. A built-in spectrogram aids in identifying the precise audio frequency of the CW tones. User feedback indicates effective performance with various transceivers like the Yaesu FT-857 and Icom IC-R8600, particularly when manual settings are optimized. The app's ability to visually tune stations within the passband and decode speeds beyond an operator's manual capability has proven beneficial during contests and general QRP operation.

RSCW demonstrates a Linux/Unix command-line utility engineered for **Morse code** decoding via a computer's sound card. It specifically targets the extraction of weak CW signals from noise, operating on 8-bit, 8000 samples/second audio input, typically from `/dev/dsp`. The program outputs decoded characters to `stdout`, supporting user-specified speeds in words per minute (WPM) and carrier frequencies. While effective for machine-sent signals, it exhibits a 2-second decoding lag and requires manual speed input, making it less suitable for general-purpose, real-time contest operation. The resource details the program's components, including `rscw` (the main decoder), `rscwx` (an X11 graphical auxiliary for spectrum and internal signal visualization), `rs12tlmdec` (a specialized decoder for RS-12 amateur radio satellite telemetry), and `noisycw` (a utility for generating noisy Morse signals for testing). Installation instructions involve downloading a `.tgz` file, compiling with `Make`, and requiring the FFTW library (and GTK 2.0 for `rscwx`). Performance is illustrated with a .wav file example of a 12 WPM, 800 Hz CW signal at 12 dB Eb/N0, showcasing RSCW's near-error-free decoding of a test message. The site provides command-line examples utilizing `sox` for audio conversion and `noisycw` for signal generation, inviting comparisons with other decoding software and human operators, particularly for weak signal conditions.

Demonstrates CW Decoder Logic, a freeware application for Windows Vista SP2, 7, 8, and 10, designed to decode Morse code signals. The software incorporates an optimized 80 Hz DSP filter, enabling reception of CW signals across a speed range of 5 to 60 WPM. Key features include automatic signal tracking within a 3 KHz range, real-time speed detection, and an auto squelch function, enhancing decoder sensitivity and accuracy. The application provides station selection directly on a waterfall display and includes a "Tips" feature for word annotations. It supports sending decoded text to external logging software via UDP protocol, with a logger source code example provided for developers. Configuration options allow users to set speed limitations and customize interface elements. Released initially on October 17, 2016, with subsequent updates, the program requires Microsoft .NET Framework 4.5 or higher. Changelogs detail improvements such as increased program stability, code optimizations for speed, and fixes for display issues across different Windows versions.

Accessories for your hamshack, such as Band Decoders, various types of Antenna Switches, Antenna Stacking devices, special devices designed dedicated for the SO2R operating technique, USB Interfaces, cw keyers and many others

Presents the design and construction of the OK2FJ Bigatas, a portable, automatically tuned vertical antenna covering 80 through 10 meters. It details two distinct control systems: one utilizing BCD band data from Yaesu FT-857/897 transceivers, and another employing voltage level sensing for the Yaesu FT-817. The resource provides specific instructions for building the antenna's radiating element, loading coil with switchable taps, and the control circuitry, emphasizing the use of readily available components. The article outlines the physical construction of the antenna, including the use of duralumin tubes for the radiator and a PVC tube for the coil form. It specifies coil winding details, tap points, and the integration of radial wires for ground plane operation. The control electronics section provides schematics and component lists for both the BCD decoder (using a 74LS42 IC) and the voltage comparator (using an _LM3914_ bargraph driver), enabling rapid, automatic band switching without the minute-long tuning delays common in other systems. Crucially, the antenna achieves rapid band changes, with typical SWR values centered on common operating segments, such as **3.7 MHz** for 80m SSB. It also discusses modifications for CW operation on 80m and the trade-offs between antenna efficiency and full-range automatic tuning on higher HF bands, where manual adjustment of radiator length is suggested for optimal performance on 15m, 12m, and 10m. The resource includes construction photos and a discussion of cable requirements for reliable operation.

CW decoder project that automatically adapts itself to the CW rate and may be employed for learning purpose substituting the traditional tone generator and offering the capability of displaying the keyed code.

Deciphering weak or noisy **CW** (Continuous Wave) signals often presents a challenge for amateur radio operators, particularly in contest environments or during DXpeditions. CWLab04X addresses this by providing a software solution that leverages **DSP** (Digital Signal Processing) capabilities of a soundcard to decode Morse code. It functions as both a receiver and a sender, supporting traditional CW and a unique "CCW" mode designed to enhance copyability of signals struggling against high noise floors. The program offers two installation methods: a Windows-specific installer for straightforward setup or a zipped package compatible with Windows and Linux systems running Wine. Users must first download and review the accompanying PDF documentation, CWLab04.pdf and CWLab04_Hardware.pdf, which detail the software's operation and the necessary soundcard interface circuit. The hardware PDF outlines a direct connection from the receiver audio output to the soundcard input, with optional conversion of the soundcard output for hard-keying or microphone input. CWLab04X is intended as an operational aid rather than a replacement for skilled human copy, particularly highlighting the effectiveness of its CCW mode in adverse signal conditions. The software was last revised in April 2009, with installation requiring the LV Runtime 602.

CWRX, a freeware Windows application, decodes Morse code (CW) signals directly from a sound card's audio input, presenting the decoded text on screen. It supports various receive bandwidths and filtering options, allowing operators to optimize signal reception in different QRM conditions. The program's core functionality focuses on robust CW decoding algorithms, crucial for weak signal work and contesting environments. Developed by OZ1IVA, Lars Harbo, this utility provides a straightforward interface for real-time CW interpretation. It integrates basic logging capabilities, enabling users to record decoded transmissions for later review or contest submission. The software is specifically tailored for the Windows operating system, ensuring compatibility with common shack computer setups. Its design emphasizes ease of use for amateur radio operators seeking a dedicated CW decoding solution. The program's small footprint and direct functionality make it a practical tool for both casual listening and more intensive operating sessions, without requiring extensive system resources.

Enables users to convert plain text into _Morse Code_ and, conversely, decode Morse sequences back into readable text. This web-based utility provides a straightforward interface for rapid translation, proving useful for both learning and practical application. It processes input efficiently, displaying the corresponding Morse or text output instantly. Operators can leverage this tool for generating practice copy or for deciphering received CW signals, making it a handy resource for those honing their code skills. The translator handles various character inputs, converting them into standard International Morse Code elements. This simple utility supports quick lookups and real-time conversions, facilitating a better understanding of CW structure and timing. It operates entirely online, requiring no software installation.

Demonstrates the capabilities of CW_Shark, a dedicated 32-bit Windows application for Morse code operations. This software facilitates the analysis, decoding, and encoding of CW signals, providing hams with a versatile tool for various aspects of amateur radio communication. It supports four distinct modes: Decode Only, Keyboard QSO, Straight or Paddle Key QSO, and Straight or Paddle Key Practice, catering to different user needs from passive listening to active keying. Operators can utilize the Decode Only mode for signal analysis, while the Keyboard QSO mode allows for text-based interaction. The Straight or Paddle Key QSO mode offers a direct interface for traditional keying, enabling real-time communication. For skill development, the Straight or Paddle Key Practice mode provides a structured environment to hone Morse code proficiency. CW_Shark integrates essential functions for CW enthusiasts, supporting both learning and active participation in Morse code exchanges. Its focused design aims to assist operators in mastering and enjoying the art of _CW communication_.

The HotPaw Morse Code Decoder application for macOS processes audio input to transcribe Morse code characters into text. It presents both an audio spectrum graph and a tone amplitude graph, which aid in configuring a narrow band audio filter. Operators can set the audio filter for tone frequencies between 400 and 1600 Hz, optimizing reception for various CW signals. The software offers user-configurable settings, including WPM dot/dash speed detection, a noise threshold level, and the option to use Farnsworth timing for inter-character spacing. The Morse code WPM detection automatically adapts from approximately 8 to 40 WPM, with a lock feature for the estimated speed. A High Speed WPM Mode is available for code speeds ranging from 40 to 80 WPM, catering to faster CW operators. The application's decoding performance is influenced by signal level, signal-to-noise ratio, frequency and WPM stability, keying quality, and proper configuration, with an initial learning phase required for WPM estimation to stabilize. An external microphone or line-in may be necessary for optimal performance on some MacBook models to mitigate fan noise or room reverberations. Version 1.4.4, updated on November 11, 2021, includes compatibility improvements for newer macOS releases. The developer, Ronald Nicholson of HotPaw Productions, does not collect any user data from the application.

A PIC based morse code decoder circuit

If you want to build a cw decoder without using other active components than an atmel 328 - Arduino UNO , then this is sure something for you.

W5UXH version of OZ1JHM Morse Code decoder project

Easy to build CW decoder based on DSP Goertzel code. If you want to build a cw decoder without using other active components than an atmel 328, Arduino UNO, then this is sure something for you.

MorseExpert 1.15 decodes Morse Code audio to text, leveraging algorithms from CW Skimmer for optimal performance on weak, fading signals amidst interference on amateur radio bands. It processes audio from the device's built-in microphone or an external radio receiver via cable, optionally highlighting Ham callsigns and keywords. The application features a waterfall display with a bandwidth of 200-1200 Hz, decodes frequencies between 300-1100 Hz, and supports keying speeds from 12-45 WPM with automatic CW pitch detection. Recent updates include support for Android 15, edge-to-edge mode, improved stability, and a pause decoding button. A premium version offers an ad-free experience and user-selected text colors. Users can switch between General Text mode and Ham Radio QSO mode, which enhances word segmentation and highlights callsigns. The app also includes a frequency lock mode, text selection capabilities for copying, sharing, or saving decoded text, and provides guidance on reducing acoustic echo and constructing an audio attenuator for optimal radio interfacing.

CW Keyer Kit with capacitive touch paddle, with a lot of nice features. Easily expandable to a Morse code decoder

Operating the UoSAT-2 (OSCAR-11) satellite, launched in 1984, presents unique challenges due to its age and current eclipse schedule. This resource provides a historical archive of news, telemetry data, and specialized software for decoding its 145.826 MHz FM beacon. It includes tools like _CTERM_ for terminal emulation and capture, and U2TM for processing ASCII telemetry, enabling hams to analyze the satellite's health and performance. The site also offers audio samples of the beacon and S-band signals, along with details on hardware and software decoders. Reception reports are actively solicited for the satellite's intermittent transmissions, which occur for less than an orbit every 21 days during its eclipse period. The site details how to process raw telemetry data, including instructions for skipping initial frames to improve decoding accuracy with U2TM. It also provides software like SATILL for predicting solar eclipses and tools for determining the satellite's spin period from magnetometer or solar array telemetry, offering insights into its operational status despite its advanced age.

KComm, a logging and communication program, was specifically engineered for Elecraft K2, K3, and KX3 transceivers, leveraging the Lazarus cross-platform development tool. It operates natively on Windows XP and can be compiled for Linux, with potential for macOS, prioritizing low resource usage for casual DXers and contest participants. The software integrates with external applications like Fldigi for diverse digital modes and CW Skimmer for advanced Morse decoding, enhancing its functionality beyond basic logging. The design philosophy of KComm emphasizes utilizing the physical radio controls for operational adjustments, rather than replacing the transceiver's front panel. It facilitates keyboard CW operation via the Elecraft serial protocol and capitalizes on the K3 and KX3's built-in decoders for RTTY and PSK31. Additionally, KComm supports PSK31, PSK63, and PSK125 through the AE4JY PSK Core DLL on Windows and integrates with PSKReporter.info for spotting. While not a dedicated contest logging or award tracking program, KComm supports ADIF and Cabrillo export for casual use, allowing logs to be imported into other software. The author, G4ILO, ceased all software development, providing KComm "as is" without further support or updates; however, the source code is available under the GNU GPL for community continuation.

Next Generation Beacon hardware platform encompasses both analog and digital modes, i.e. CW FSK and MGM in a mixed mode configuration. The advantage of the mixed mode is that humans can decode the CW FSK by ear and the MGM can be decoded by computers way below what is audible. Therefore the MGM can be used for pre-human-conditions or early warning monitoring.

Monitoring extremely weak signals in the QRSS (Very Slow Morse) mode requires specialized receiving and processing capabilities to extract information below the typical noise floor. This project provides a software solution, _QrssPiG_, designed to run on a Raspberry Pi, enabling it to function as a dedicated QRSS grabber. It interfaces with various Software Defined Radio (SDR) devices, including the popular _rtl-sdr_ dongles and _HackRF_ units, to acquire raw I/Q data streams. The software then performs the necessary signal processing to visualize and decode these faint, long-duration CW transmissions, often operating with milliwatts of power. The system leverages the computational power of the Raspberry Pi for real-time signal analysis, allowing hams to participate in QRSS experiments and monitor distant beacons. It supports different SDR hardware, offering flexibility in setup and deployment for home stations or remote monitoring sites. The project includes detailed instructions for installation and configuration, making it accessible for those familiar with Linux environments. This grabber is particularly useful for tracking propagation on the LF and HF bands where QRSS activity is common, providing a visual representation of signal presence over extended periods.

The SDRcom platform provides a unique browser-native Software Defined Radio experience, emulating a traditional radio with a physical VFO dial, switches, and an analog meter. It integrates a high-resolution 64k FFT waterfall display, supporting essential modes like AM, FM, SSB, and CW. The **SDRcom Blue** version interfaces with SDRplay® receivers via a local WebSocket, while the free **Red Lite** version supports RTL-SDR V3/V4 dongles through WebUSB, including basic audio EQ and 100 memory slots, along with FT8 decoding. For advanced operators, the Red Pro version expands capabilities with 1000 memory slots, upgraded high-resolution waterfalls, and enhanced W4PAH FT8, FT4, and WSPR decoder engines. It also incorporates 4-band DSP noise reduction and an intelligent band scanner, proving beneficial for weak-signal work. The Network edition extends functionality to access hundreds of global remote SDRs, and an ADS-B aircraft decoding feature with 3D positioning and mapping is also available. All SDRcom applications are designed to run directly in a web browser, eliminating the need for any software installation. This approach simplifies access and setup for radio enthusiasts, from casual SWLs to dedicated digital mode operators, allowing immediate engagement with the airwaves.

The online Morse code translator and decoder provides functionality for converting plain text into Morse code and decoding Morse code back into text. Users can input text directly into a designated box for translation to Morse, with the tool ignoring characters that lack a Morse equivalent. Conversely, Morse code can be entered using periods for dots and minus signs for dashes, requiring a single space to separate letters and a forward slash to delineate words. The interface also supports direct Morse input via a button, where a half-second pause separates letters and a 1.5-second pause separates words. The resource details the historical context of Morse code, noting its invention by _Samuel F.B. Morse_ in the 1830s for telegraphy, and its continued use by amateur radio operators for recreational purposes and emergency signaling, such as the **SOS distress signal**. Guidance on learning Morse code suggests using online translators for practice and listening to amateur radio transmissions. The tool offers an audio playback feature for translated Morse, allowing users to hear the code at various words per minute (WPM) settings. It also includes a visual chart to aid in memorizing the dot and dash sequences for the alphabet.

While there are quite a few standalone Morse Code or CW decoders out there, I wanted to tackle the problem myself and end up with both a great Arduino learning project and a decent portable decoder for when I'm out in the field operating QRP

A homemade morse code decoder project, providing a detailed schematic and pictures

DecoDXLog is a station logbook application for Windows, designed to integrate seamlessly with the _Decodium_ family of software, as well as _WSJT-X_ and JTDX, by receiving QSOs via UDP. It operates around a local SQLite file, providing automatic callbook lookups from QRZ.com XML or HamQTH to complete log entries with name, QTH, and locator data. The software tracks 15 different awards, including DXCC, WAZ, WAS, WPX, IOTA, POTA, and SOTA, calculating progress in real-time and allowing confirmation via LoTW, paper cards, or eQSL. It also features comprehensive statistics, a world map displaying worked locators and cluster spots, and a built-in DX Cluster client that aggregates data from DX Spider/CC Cluster, Reverse Beacon Network, HamAlert, and POTA activations, providing alerts for new DXCC, band, or mode. The application includes a CW keyer/decoder, a contest mode with real-time scoring and Cabrillo export, and robust QSL management for LoTW, QRZ Logbook, eQSL, and Club Log. An optional DecoDXLog Cloud feature enables synchronization of QSOs, station profiles, and settings across multiple devices, ensuring a consistent operating environment. The software is open-source under the GPL-3.0 license, developed by IU8LMC and contributors, and supports lossless ADIF import/export, making it compatible with existing logs. It also integrates with _DecoRotor_ for antenna control, allowing operators to point their antenna directly from the logbook interface.

CW decoder using a PIC microcontroller. This is a morse code decoder made using a PIC(16F88) microcontroller, this project supports displays with multiple controller chips

The morsecodeworld.org web application provides an online Morse code decoder and encoder, facilitating real-time conversion between text and International Morse code. It supports adjustable transmission speed (Words Per Minute), sidetone frequency pitch (Hz), and output volume, allowing users to customize their learning and practice environment. The tool includes a quick reference chart for the Morse alphabet and focuses exclusively on International Morse, aligning with contemporary amateur radio licensing and on-air practices, distinguishing it from historical American Morse code. This web-based utility enables users to type text for encoding into Morse audio or paste Morse code for decoding into plain text, offering immediate feedback on timing and character spacing. It supports both visual and auditory learning by providing adjustable parameters for speed and tone. The platform is designed for self-assessment, encouraging users to practice copying and sending, and to identify and correct common errors in character recognition and timing.

Txtopia provides a browser-based Morse code translator that converts plain text to International Morse Code and decodes Morse back into text, supporting various Unicode dot and dash representations. The tool automatically detects translation direction, normalizes common input variations like middle dots (·), bullets (•), em dashes, and underscores, and explicitly flags unsupported characters or ambiguous sequences with visible placeholders rather than silently dropping them. It accepts spaces, tabs, newlines, and pipes as letter separators, and slashes or blank lines for word boundaries, recording collapsed separators for user review. Users can adjust playback speed from 5 to 40 WPM and tone frequency from 300 to 1000 Hz for CW practice, with playback adhering to international Morse timing. The application operates entirely client-side, ensuring user input remains in the browser without server transmission. It includes a comprehensive reference for the supported Morse alphabet, numbers, and punctuation, aiding in learning and verification. The tool is suitable for checking game clues, verifying tattoo designs, and transcribing messages for ham radio CW practice.

CW_Player is a freeware Morse code training program designed for aspiring and experienced radio amateurs. It generates Morse characters, Q codes, abbreviations, and random text, offering 20 customizable lessons for learning Morse code. The software includes a quiz for knowledge testing, CW signal monitoring to decode morse code live, and the ability to create personalized local characters. It generates .wav files for playback, supports Windows features like copy-paste, and integrates easily with transceivers for on-air training. Ideal for beginners, instructors, and hobbyists, CW_Player boosts confidence in CW operations.

One primary function of this online utility is to convert plain text into _Morse code_, presenting the output in either a visual dit-dah sequence or as a downloadable MIDI file for auditory practice. The tool also provides the reverse capability, allowing operators to input Morse code and receive a decoded text translation. This bidirectional functionality supports both encoding messages for transmission practice and decoding received signals for improved copy. Operators can utilize the web interface for quick translations, making it accessible without software installation. The resource focuses on the fundamental aspects of CW communication, aiding in both learning and practical application of the code. Its design emphasizes simplicity and direct utility for amateur radio enthusiasts working with CW.

The Morse Code Translator allows anyone to easily convert text into Morse code and vice versa. Simply enter the text to translate or Morse code to decode. This tool is useful for amateur radio operators, scouts, educators, or anyone interested in learning Morse code for educational, professional, or recreational purposes. Discover hidden messages, learn the Morse code alphabet, and practice decoding signals. The tool offers advanced options like adjusting frequency, words per minute, characters, and spacing. Experience Morse code visually with the light translator. Explore the history and uses of Morse code, from military and emergency communications to fun secret messages among friends.

M2 CW decoder Kit, is an Arduino based morse code decoder, kit produced and delivered by WB7FHC

The project details the construction of a small, portable **CW decoder** built around an Arduino Nano and an LM567 tone decoder circuit. It integrates an OLED display for output and is powered by a 1200 mAh Li-Po battery. The Arduino Nano is programmed with a modified version of the OST Morse Box firmware, originally based on Budd, WB7FHC's work, provided as a HEX file for flashing. The LM567 output connects to Arduino pin D2, while pins A6 and A7 are grounded due to the absence of potentiometers, simplifying the circuit. Standard I2C connections are used for the OLED: SDA to A4 and SCL to A5. The entire assembly, including the Arduino, OLED, and decoder circuit, is mounted on a perfboard to fit precisely within an old cassette tape box. This design emphasizes portability and compact form factor. Parameters for the decoder can be adjusted using a dedicated Windows Control program, offering flexibility in operation. The resource provides practical insights into adapting existing firmware for specific hardware constraints and achieving a self-contained, battery-powered **Morse code** decoding solution.

SWLTools, an iOS application for iPhone and iPad running iOS 17+, provides real-time decoding of various digital modes. It automatically locks onto CW tones, measures sending speed, and collects callsigns, distinguishing valid entries from misreads for a reliable log. For RTTY and SITOR-B, the app allows users to set shift and speed, then automatically tunes to the two tones for text reception, supporting marine bulletins, press agencies, and NAVTEX. The application also decodes WEFAX, building charts line by line for direct saving to the photo library, and processes ACARS aircraft messages, including CRC checks for data integrity and mapping of position reports. Beyond decoding, SWLTools integrates a GPU-accelerated FFT spectrum analyzer, a scrolling waterfall display with frequency cursors, and an adjustable FIR bandpass filter to isolate signals. It supports IQ signal analysis from receivers via two-channel audio interfaces, correcting mirror images. Flexible audio input options include the built-in microphone, USB audio dongles, and Bluetooth sources, with diagnostics for audio routing and buffer status. The app records audio, plays it back, and converts recordings into shareable videos, while decoded texts and charts are also savable and shareable, with all timestamps in UTC.