Music-To-Sheet
musictosheet.comConvert any audio recording into professional sheet music instantly using AI, supporting multiple instruments and export formats.
Convert any audio recording into professional sheet music instantly using AI, supporting multiple instruments and export formats.
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Music-To-Sheet is an AI-powered tool designed to transform audio recordings into professional sheet music. Users can upload MP3, WAV, or M4A files, paste audio links, or record directly within the app. The platform leverages AI stem separation (using Meta's Demucs) and polyphonic note detection to accurately transcribe chosen instruments. It provides professional notation in various formats like Score, Part, Lead Sheet, and Guitar Tabs, with export options including PDF, MIDI, and MusicXML. Additional features include transposing, BPM control, and a note editor for fine-tuning the AI's output.
Musicians, composers, music students, educators, and transcribers who need to quickly convert audio performances or recordings into readable sheet music.
This tool addresses a significant pain point for musicians by automating the often tedious and time-consuming process of transcribing audio. Its use of advanced AI for stem separation and polyphonic note detection, combined with multiple output formats and an in-app editor, makes it a powerful and versatile solution. The availability on web, iOS, and Android further enhances its accessibility and potential for broad adoption.
AI-assisted scores estimated from public website information only.
This FounderDeck estimate of $350,000 reflects a highly polished, AI-powered product that solves a clear pain point for a broad audience of musicians. The use of advanced AI (Demucs), multi-platform availability (web, iOS, Android), and a clear freemium model (60s free transcription) indicate strong product execution and market potential. The estimate is not higher due to the lack of explicit paid tier pricing details on the website and no public information regarding traction, team, or funding.
Valuation date: 2026-06-05. Estimate generated from public signals.
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