Explore Songscription's guides to music transcription, sheet music, MIDI, piano roll, and AI-powered music learning, plus product updates and company announcements from the Songscription team.
Guides to turning a recording into readable music: how AI transcription works, how to get an accurate result, and how to transcribe specific instruments and genres, from solo piano to a full band.
Working out a solo by ear is slow, and the fast licks are where most people give up. Here is how to transcribe a guitar solo note for note, where AI gets you a head start, and how to capture the bends and slides it misses.
Before you can play or arrange a song, you need its key and tempo. Here is how to find both by ear and the faster way to get the key, BPM, and time signature read off a recording automatically.
Audition cuts, rehearsal tracks, and a song in your key: musical theater runs on sheet music you often cannot buy. Here is how to transcribe a show tune from a cast recording and get an accompaniment you can use.
Fingerstyle hides two or three parts inside one guitar, which is exactly what makes it hard to write down. Here is how to transcribe a fingerstyle arrangement, what AI captures, and what you fix by hand.
The theme stuck in your head rarely comes with sheet music. Here is how to turn a film or TV theme into a piano arrangement you can play, from a clean recording to a score you can read.
A good piano cover starts with knowing what the song is actually doing. Here is how to find the chords and melody, arrange them for two hands, and make the song your own.
Classical piano is one of the hardest things to transcribe well: dense voicing, pedal blur, and rubato all fight you. Here is how to get a clean score by ear or with AI, and what to expect.
Gospel piano is built on rich chords, fast passing notes, and a feel that is hard to pin down. Here is how to transcribe it without losing what makes it gospel, by ear or with AI.
Music transcription is the act of writing down music you can hear but do not have on paper. Here is what it means, the forms it takes, and how AI changed who can do it.
AI music transcription listens to a recording and writes out the notes. Here is what actually happens between the audio going in and the sheet music coming out, in plain language, plus where the technology is strong and where it still struggles.
Stem separation splits a finished mix back into its parts: vocals here, drums there, bass on its own. It can be a useful step before transcribing a dense recording, though it is not something Songscription requires. Here is how it works and when it helps.
The file you upload sets the ceiling on how good a transcription can be. A clean WAV or a high-bitrate MP3 beats a quiet phone clip every time. Here is what formats work, what actually matters about the recording, and how to give the AI its best shot.
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