1. Build an amplitude envelope
The uploaded track is mixed to mono and sampled in small RMS windows so the decoder can separate tone energy from silence.
Morse Code Audio Decoder
This page is optimized for users searching morse code audio decoder, morse sound decoder, decode morse from audio, or morse code wav decoder. Upload a beep recording, reconstruct the Morse timing, and recover the most likely plain text output directly in the browser.
Live DecoderBrowser audio analysis
Decode Morse from an uploaded audio file
Upload a WAV, MP3, or other browser-supported file that contains clean Morse beeps. The decoder estimates tone windows, infers timing, reconstructs Morse symbols, and then converts the result back into text.
Best results come from isolated tone tracks with minimal background noise and clear spacing.
Current status
Upload a beep track or load a demo sample to decode it.
Source: No file loaded yet
Confidence: —
Estimated WPM: —
Primary Decode
Upload a file to recover Morse timing and generate a text decode.
Fallback Candidate List
For ambiguous timing or spacingOnce a file is decoded, fallback candidates appear here to help with ambiguous timing and imperfect recordings.
How the decoder works
2. Infer dot and dash timing
Short tone windows set the base unit. Longer windows are classified as dashes, and gap lengths help rebuild letters and words.
3. Rank fallback text candidates
If spacing is unclear, the decoder also scores likely no-space parses using English frequency and pattern heuristics.
When to Use This Page
Use the decoder that matches your source format.
| Situation | Best Page | Why |
|---|---|---|
| Decode typed Morse with spaces | Home Translator | Use the homepage when you already have a standard Morse text string. |
| Decode an uploaded beep recording | This Page | This page analyzes timing directly from the audio waveform. |
| Decode a continuous dot-dash string | No-Space Decoder | Use the no-space decoder when the source is typed Morse with missing separators rather than recorded sound. |
Decoder Notes
Clean tones work best
Strong contrast between beep and silence makes tone-window detection far more reliable than noisy speech-heavy mixes.
Timing matters more than timbre
The decoder focuses on envelope timing, so tone color can vary as long as the pulses remain distinct.
Fallback candidates are normal
Uneven recordings can blur spacing. Ranked alternatives help when one audio file supports more than one parse.
If you want to create a clean reference file before decoding, start with the sound generator or export an exact WAV from Morse Code Audio Download.
Guides
Related guides for audio decoding workflows
These articles explain timing, tone profiles, and generator workflows that make audio decoding easier to validate.
Decoding Guide11 min read
How to Decode Morse Code from Audio Files
Learn how to recover Morse code from uploaded beep recordings, estimate timing, interpret ambiguous results, and improve decoding accuracy.
Audio Basics8 min read
Morse Code Beep Sound Explained: Dots, Dashes, and Tones
Understanding the distinctive beep sounds in morse code - why they sound that way, how dot and dash timing works, and what makes different tone styles unique.
Tools & Guides10 min read
Complete Guide to Morse Code Audio Generators
How to choose and use morse code audio generators for your projects. Compare online tools, software, and hardware options with practical recommendations.
Audio Decoder FAQ
What is a Morse code audio decoder?
A Morse code audio decoder analyzes beep or tone recordings, estimates signal timing, reconstructs Morse symbols, and converts the result into plain text.
Which audio files work best?
Clean WAV or MP3 files with isolated Morse beeps work best. Heavy background music, overlapping voices, or clipped recordings reduce timing accuracy.
Does this audio decoder run in the browser?
Yes. The current workflow decodes browser-supported audio locally in the page, then reconstructs Morse timing from the uploaded waveform.
What if the recovered Morse spacing is ambiguous?
The page shows fallback text candidates so you can compare likely interpretations when timing or spacing is uneven.