SingConvert – Transcribe your vocal recordings into sheet music

Hacker News

SingConvert is an AI-powered web app that transforms any vocal recording – whether a cappella or accompanied – into professional sheet music and MIDI/MusicXML files. Designed specifically for singers, it provides fast, accurate, and synchronized vocal transcriptions for all types of voices and styles. Whether you’re a vocalist, composer, teacher, or content creator, SingConvert simplifies your workflow by turning voice into readable and editable music notation in seconds. With advanced pitch detection and rhythm analysis optimized for human vocals, the app supports MP3, WAV, and YouTube links. The output includes lyrics placement (when provided), pitch contours, dynamics, and tempo – all exportable in PDF, MIDI, and MusicXML formats. Ideal for transcribing melodies, learning harmony, archiving vocal ideas, or preparing for performances. No need for complex software or music theory skills. SingConvert runs directly in your browser – 100% online, cross-device, and beginner-friendly. Try SingConvert now for free and start transcribing your voice into music: https://latouchemusicale.com/en/apps/singconvert/

Visit product View on Hacker NewsJun 24, 2025

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Indie HackersFits the IH revenue-focused audience · Strong signals: supports · Missing: reddit linkedin, podcasting, created

89%89% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

best fitHighest predicted score across all platforms for this description.

AppSumoMay struggle as an AppSumo deal · Strong signals: friendly · Missing: plus, platform, intuitive

47%47% predicted probability of success on AppSumo, based on ML models trained on real launch data.

Hacker NewsMay not resonate with HN audience · Strong signals: ide, io · Missing: https docs, excited, just released

45%45% predicted probability of success on Hacker News, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

Product HuntUnlikely to reach the leaderboard · Strong signals: apps, recordings · Missing: mac, agents, macos

43%43% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

TrustMRRLess likely to generate early MRR · Strong signals: apps · Missing: mobile apps, ios, personal

40%40% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

Acquire.comPre-revenue stage for this audience · Missing: arr, mrr, revenue

13%13% predicted probability of success on Acquire.com, based on ML models trained on real launch data.

BetaListMay not resonate with beta-testers · Missing: web3, chat, crypto

1%1% predicted probability of success on BetaList, based on ML models trained on real launch data.

Correct prediction on native model

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