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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.

Audio Spectrum Analyser Spectrum Lab or Speclab started as a simple FFT program running under DOS a long time ago, but it is now a specialized audio analyzer, filter, frequency converter, hum filter, data logger and more. Can be used for MTHELL QRSS, DFCW, PSK, MSK, Castle. Spectrum Lab is a free audio analysis tool, lets you see the hidden world of sound. It analyzes live audio or recordings, showing you the exact frequencies present. Watch sounds change over time with a waterfall display. Need to clean up your audio? It can filter out noise in real-time. Even play with radio signals by decoding and creating special modes! While ideal for amateur radio enthusiasts, anyone can explore the science of sound for free.

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.

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.

Approximately 400 kHz is the primary frequency for Navtex broadcasts, a crucial maritime safety information system. This legacy software, _Frisnit Navtex Decoder_ version 2.1.5, provides a means to decode these messages directly from an amateur radio receiver's audio output, fed into a PC's microphone input. It operates by processing the audio stream, extracting the FSK (Frequency Shift Keying) data, and presenting the decoded text on a Windows platform. Despite being unsupported and no longer under active development, the application remains functional across a wide range of Microsoft operating systems, from _Windows 95_ through _Windows 11_. Its utility lies in offering a straightforward, no-cost solution for hams and SWLs interested in monitoring Navtex transmissions without specialized hardware. The software's design focuses on simplicity, allowing users to quickly set up and begin decoding maritime weather forecasts, navigation warnings, and other safety-critical information. It leverages the PC's sound card, making it accessible with minimal additional equipment beyond a receiver capable of tuning to the Navtex frequencies.

Easy to use Audio Spectrum and PSK31 decoding program specially designed for SWL's who don't need TX or for anyone who just like to monitor PSK31 or analyse signals. Adjustable DSP and Spectrum settings for audio and frequency spectrum to set for best decoding of PSK31.

Easy to use Audio Spectrum- and PSK31 decoding program specially designed for SWL's who don't need TX or for anyone who just like to monitor PSK31 or analyse signals. Adjustable DSP and Spectrum settings for audio and frequency spectrum analasys or to set it for best decoding of PSK31 signals. By ON6MU

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.

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_.

Processing a single RTTY signal from a transceiver's 3-kHz audio, GRITTY employs _Bayesian statistics_ for superior decoding accuracy compared to traditional trial-and-error methods. This approach not only decodes 5-bit Baudot codes but also calculates the probability of error for each bit, enabling features like color-highlighting unreliable characters and smart squelching based on error probability rather than signal amplitude. This allows decoding of very weak signals while suppressing strong, undecodable interference, resulting in minimal garbage text. The program intelligently analyzes decoded text, comparing similar callsigns bit by bit and merging probabilities using the Bayes formula. This often allows GRITTY to determine the correct callsign and place it on the call stack even when all received copies are corrupt. The same methodology is applied to correct errors in exchange numbers and CQ/DE keywords, and to fix incorrect shift states. GRITTY offers an open API interface, documented in its Help file, for integration with other programs, allowing them to receive decoded data and mouse click events.

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.

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.

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.

The OnAir SDR receiver application, hosted on GitHub, supports a broad range of digital and analog modes across macOS, Windows, and Linux platforms. It decodes various digital TV standards like DVB-T/T2, DVB-C, DVB-S/S2, ATSC, ISDB-T, and DTMB, alongside broadcast audio formats such as DAB+, FM, and DRM. For aviation enthusiasts, it processes ADS-B, ACARS, and VDL2 signals, while also offering satellite reception and GNSS capabilities. Amateur radio operators benefit from its support for modes including FT8, PSK31, and CW, in addition to general digital voice decoding and cell tower monitoring. A built-in spectrum analyzer provides visual analysis of received signals. The project demonstrates active development, evidenced by over **1,750 commits** to its codebase. OnAir is designed for compatibility with popular SDR hardware, including _HackRF_, RTL-SDR, Airspy, SDRplay, BladeRF, LimeSDR, Pluto, and USRP devices. This wide hardware support makes it a versatile tool for radio enthusiasts and professionals working with various SDR platforms.

Boasting an FM demodulation rate of **1,235 Msps** and a DMR speed of **369x realtime**, SDR-- is a software-defined radio application designed for patching together radio components across macOS, Windows, and Linux platforms. It facilitates connecting a receiver to various channels, which then feed into speakers, maps, or recorders. The software supports a wide array of audio modes including AM, NFM, SSB, CW, FM stereo, RDS, DMR, FreeDV, D-STAR, Fusion, NXDNP, P25, and dPMR, alongside decoding numerous events and messages such as ADS-B, ACARS, VDL2, HFDLA, AIS, NAVTEX, DSC, POCSAG, FLEX, ERMES, FT8, FT4, WSPR, APRS, RTTY, PSK, ISM sensors, and time signals. Beyond audio and data, SDR-- also handles video modes like SSTV, ATVDVB-S, and DVB-S2. It provides comprehensive displays including spectrum, waterfall, constellation, and map views, all integrated with decoded messages. Advanced features include scanning, signal identification, satellite tracking, direction finding, and passive radar capabilities. The application offers remote control options via REST, WebSocket, MCP, and event forwarding, allowing integration with external tools. It can operate on a desktop computer or be deployed on a server, such as a _Raspberry Pi_, for remote access, providing flexibility for shack setups or antenna-side installations.

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.

How-to decode and Display APRS Packets from WebSDR Audio using linux computer

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.

Operating in challenging RF environments, DeepCW provides real-time Morse code decoding capabilities through a neural network model. The software excels at robustly interpreting weak signals, mitigating the effects of QSB, and performing effectively in noisy conditions, a common issue for CW operators. It also supports multi-channel decoding, allowing for the simultaneous interpretation of multiple CW signals present in the audio stream. The application integrates audio pass-through functionality, enhanced with deep-learning-based noise reduction to clean up the incoming audio before decoding. Benchmarking data indicates a 0.00% error rate from 0 to -4 dB SNR, with errors remaining below 1.5% at -8 dB SNR and under 8% at -10 dB SNR across the full range of CW speeds. The project provides comparative analyses against established decoders such as _CW Skimmer_, _fldigi_, and _ggmorse_, utilizing publicly available CW QSO videos from YouTube to demonstrate its performance. DeepCW is designed for cross-platform deployment, supporting Windows, macOS, Android, and iOS operating systems. The core _DeepCW Engine_, which houses the decoding model and a reference implementation, is available separately, offering Python and Node.js examples for decoding from WAV audio files.

Analyzing 433 MHz radio signals from common wireless devices, such as temperature sensors and remote controls, involves understanding **On-Off Keying (OOK)** modulation. This resource details the process of capturing these signals using a Software Defined Radio (SDR) like Gqrx and then visually inspecting the captured audio data in a sound editor such as Audacity. It differentiates between **Pulse Width Modulation (PWM)** and Pulse Position Modulation (PPM) encoding schemes, illustrating how to identify and decode binary data by eye based on pulse and gap durations. The article provides a step-by-step walkthrough for decoding a wireless thermometer's data, correlating bit patterns with known temperature, humidity, and channel values. It also demonstrates decoding an RF remote control's button presses, highlighting the constant and varying parts of the transmitted packets. The content further introduces automated decoding using tools like RTL_433, explaining its capabilities in parsing various device protocols and showing how to interpret its output, including modulation type and decoded data. Specific examples include analyzing Prologue sensor protocol specifications from RTL_433's source code and noting common operating frequencies like 433.92 MHz in Europe and 915 MHz in the US.

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.

DecoAlert 1.0 Beta is a companion application designed to enhance the digital mode operating experience, specifically for FT8, FT4, and FT2. It operates by monitoring UDP data streams from primary decoding software like _Decodium_ and _WSJT-X_ on port 2237. The software provides real-time, priority-based audio alerts using WAV sounds for various conditions, including All Time New Ones (ATNO), new DXCC entities per band/mode, user-defined watchlist callsigns, new Maidenhead grid squares, and LoTW-active stations. It also highlights previously worked stations (B4) and integrates live DX spots from Telnet clusters, offering a comprehensive suite of tools for serious digital mode operators. The application features a built-in SQLite database for tracking worked stations and integrates with LoTW user lists to identify confirmed contacts. A DX Cluster client supports multiple Telnet servers, providing a broad view of propagation. PSKReporter statistics are available by band and mode, offering insights into signal paths. The QSO log viewer includes search and filter capabilities, while an _OpenStreetMap_ (OSM) interface visualizes spot locations, aiding in situational awareness. DecoAlert requires Windows 10/11 (64-bit) and compatible digital mode software configured to send UDP data.

For radio amateurs seeking to master Morse code, this online resource provides a structured learning environment centered on the _Koch method_. It introduces characters sequentially, requiring a **90% accuracy** threshold over 20 attempts to advance to the next character. The platform emphasizes learning by sound, not visual memorization, allowing users to adjust character speed from 15 WPM up to **25 WPM**, with a recommendation for 18 to 20 WPM character speed utilizing _Farnsworth spacing_ for overall slower reception. The resource outlines a practical four-week practice regimen, guiding learners through the 35 lessons and progressing to decoding short words. It integrates supplementary tools such as a Morse translator with a tap key, an audio decoder for microphone input or files, and a printable alphabet chart. User progress is saved locally in the browser, facilitating consistent daily practice sessions of 10 to 20 minutes.

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.

Decoding Morse code from visual sources like screenshots, scanned documents, or photographs presents unique challenges compared to audio-based reception. This web-based utility addresses these by allowing users to upload or paste images containing Morse code, which is then processed entirely within the user's browser, ensuring privacy. The tool identifies individual marks, classifying them as dots or dashes, and estimates letter and word spacing to generate an editable Morse draft. Users can refine the detection by utilizing controls for cropping, rotation, contrast boosting, and manual threshold adjustment, which are crucial for overcoming issues like low contrast, skewed baselines, or extraneous graphics. After the initial detection, the generated Morse draft, such as _... --- ... / .... . .-.. .--?_, can be manually corrected before being translated into plain text. The system provides confidence indicators and warnings to highlight potential ambiguities in the decoded output, prompting users to review and make necessary edits. This specialized approach differs from general OCR engines by focusing on the distinct patterns of Morse marks and gaps, rather than attempting to read standard alphanumeric characters. The tool supports common image formats like PNG, JPG, JPEG, and WebP, and includes sample images for benchmarking its performance, demonstrating its capability to handle various image qualities and complexities.