Upload · inspect · correct · copy

Morse Code Image Translator

This Morse Code Image Translator reads visible dots and dashes from a screenshot or photo, shows the exact marks it detected, and converts the result into editable Morse code and readable text. Adjust threshold, invert, and rotation when the picture is unclear; the image stays in your browser.

Decode an image Decode Morse audio instead

Visible workflowIMAGE → .- → TEXTInspect before trustingThe component overlay connects every decoded symbol to a real region in the uploaded picture.

Localbrowser processing

4detection controls

2editable outputs

0signup required

Browser-local image analysis

Decode Morse Code from an Image

Upload a clear screenshot or photo of visible dots and dashes. The tool shows the exact marks it detected before converting them to text.

Your image stays in this browser.

Clean sample · MORSE IMAGE1464 × 88px · generated sample

Detected marksSource + component overlay

Dots use teal boxes; dashes use amber boxes.

Threshold viewWhat the detector sees

Dark pixels are treated as marks unless invert is enabled.

Detected MorseEdit spacing or symbols when needed

Use one space between letters, a slash between words, and a new line for a new image row.

Decoded textLatin Morse table result

Readable text will appear here

A # means the detected dot-and-dash group does not match a supported Latin Morse character.

Result diagnosisWhy the image produced this result

The detected spacing and component shapes are internally consistent. Review the overlay before trusting the final text.

This first release detects graphic Morse marks. It does not perform general handwriting or ordinary-language OCR, and severe perspective distortion may require a straighter crop or manual correction.

From pixels to a readable message

How the Morse Code Image Translator Works

A picture does not contain Morse characters in the same way a text field does. It contains colored pixels. The tool first creates a threshold view that separates likely signal marks from the background. It then groups connected foreground pixels into visible components, measures each component, and classifies a compact mark as a dot or an elongated mark as a dash.

The horizontal gaps matter as much as the shapes. Small gaps keep marks inside one character, larger gaps separate letters, and the widest gaps separate words. The detected groups are passed to the same Latin Morse table used by the main translator. The source overlay, editable Morse field, decoded text, confidence score, and diagnostics all come from that one detection result.

1

Upload or load a sample

Choose a screenshot, scanned worksheet, puzzle image, or straight photo. The clean and inverted samples demonstrate the complete workflow immediately.

2

Review the detected boxes

Teal boxes are treated as dots and amber boxes as dashes. The black-and-white preview shows which pixels are currently counted as foreground.

3

Correct and copy

Adjust the controls until the boxes match the picture. Then edit spacing or symbols in the Morse field and copy either the Morse code or decoded text.

Input quality

Which Morse Code Pictures Work Best?

The strongest input is a high-contrast image in which each dot and dash is a separate shape on a plain background. PNG screenshots usually preserve edges and spacing better than compressed photos. JPG, WebP, and other browser-supported image formats can also work when the marks remain distinct.

Best: clear printed marks

Use straight rows, consistent mark height, visible letter gaps, and minimal decoration. A screenshot of graphic dots and dashes is usually easier to decode than a camera photo.

Adjustable: dark or rotated photos

Use Invert for light marks on a dark background. Rotate in 90-degree steps when a phone photo is sideways. Move Threshold until the preview isolates the signal.

Limited: handwriting and perspective

Uneven handwriting, diagonal perspective, shadows, blur, connected marks, and missing spaces can change component shapes. The result may need manual correction.

Unsure whether the detected group is a valid letter or number? Compare it with the complete A–Z, 0–9, and punctuation reference, then return to the editable Morse result.

Open the Morse Code Alphabet

Recovery controls

Fix a Morse Code Image That Decodes Incorrectly

Start with the overlay rather than the final text. When a real dot has no box, the threshold may be too strict. When background texture produces many boxes, the threshold may be too loose. If nearly the entire image becomes foreground, toggle Invert or move the threshold toward the background color.

Rotation changes the actual pixel orientation before detection. The blue dashed trim box marks the foreground bounds and helps reveal whether large areas of empty space surround the signal. The diagnostics panel reports missing marks, excessive small regions, invalid Morse groups, and ambiguous geometry. These messages describe the current picture rather than repeating generic troubleshooting advice.

Threshold

Controls how light or dark a pixel can be before it is counted as part of a signal mark.

Invert

Switches between dark foreground on light background and light foreground on dark background.

Rotation

Turns the actual source pixels clockwise so horizontal Morse rows can be measured correctly.

Useful tasks

When to Translate Morse Code from an Image

An image Morse code translator is useful when the signal cannot be selected as text: a puzzle screenshot, game clue, classroom worksheet, poster, scanned document, social post, or photo of a written pattern. It is not a replacement for an audio decoder when the source is sound, and it is not a general OCR system for reading ordinary sentences from pictures.

Puzzles and game clues

Upload a screenshot, inspect how each mark was classified, and correct only the ambiguous part instead of transcribing the entire sequence manually.

Worksheets and printed references

Decode a clean photographed exercise while keeping the original image and the detected Morse visible side by side.

Historical or scanned material

Use threshold and invert to isolate faded printed marks, while treating uncertain results as a starting point for manual verification.

Privacy and accuracy

Local Processing, Visible Evidence, Honest Limits

The uploaded image is decoded with browser Canvas and JavaScript on the current device. This page does not send the image to an OCR API or a remote AI service. That privacy choice also defines the feature boundary: the tool detects graphic Morse dots and dashes; it does not claim broad handwriting recognition or automatic understanding of arbitrary text inside an image.

A confidence score is not a guarantee. It combines valid Morse groups, component geometry, and the amount of foreground retained after noise filtering. Always compare the boxes with the source. When spacing is missing or several marks touch, edit the detected Morse before using the final text.

Questions and limits

Morse Code Image Translator FAQ

How does the Morse Code Image Translator work?

It converts the image to a black-and-white threshold view, finds connected foreground marks, classifies their shapes as dots or dashes, estimates the gaps between characters and words, then decodes the detected groups with the Latin Morse table.

What image types can I upload?

You can upload browser-supported image files such as PNG, JPG, WebP, and GIF. Clear screenshots and straight, high-contrast photos work best. The first GIF frame is used when the browser opens an animated file as an image.

Are uploaded Morse code images sent to a server?

No. This page reads pixels and runs detection in your browser. The image is not uploaded by this tool. Closing or refreshing the page removes the current local image state.

Can it read white Morse code on a black background?

Yes. Enable Invert foreground so light marks are treated as the signal. The built-in inverted sample demonstrates the same path without using a separate decoder.

Can it decode handwritten or blurry Morse code?

Sometimes a clean handwritten pattern may work, but handwriting is not guaranteed. Uneven shapes, blur, perspective, decorations, and missing spaces can merge or split marks. Use the overlay and edit the detected Morse when needed.

Why does the result contain a # character?

A # means one detected dot-and-dash group does not match a supported Latin Morse character. Adjust threshold, invert, rotation, or spacing, then correct the editable Morse field if the image remains ambiguous.