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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.