"Can AI transcribe music?" has a different answer in 2026 than it did five years ago. For solo piano, the answer is a solid yes. For a four-piece band recorded live in one room, the answer is still "sort of, and you'll be fixing it for an hour."

This guide compares the tools that actually work, what they're each good at, and — because it matters more than most comparisons admit — whether they upload your audio.

How to judge a transcription tool

Three axes matter, and they trade off against each other:

• Specialization. A model trained exclusively on piano will beat a general model on piano, and fail on guitar. Pick for your source material.
• Where it runs. On-device (browser or desktop) means your audio stays yours. Server-side means it doesn't.
• What you get out. MIDI is the universal note format. MusicXML preserves notation detail. A piano roll is for learning; engraved notation is for printing.

Accuracy claims are worth being skeptical about. Most tools quote note-level F1 on the MAESTRO dataset, which is clean solo piano recorded on a Disklavier. Your phone recording of an upright in a church hall will do worse — every time, for every tool.

Pianolyze — piano-specialized, on-device

Pianolyze runs a transformer-based piano transcription model directly in your browser via WebGL. Drag in MP3, WAV, FLAC, or M4A; get a piano roll, a synced sheet music view, and a MIDI download.

• Cost: Free sample tracks without an account. Transcribing your own recordings needs a Pro subscription (free trial); a higher Pro AI tier adds AI harmonic and practice analysis.
• Privacy: The model runs in your browser, so your audio is never uploaded. (Sign-in and subscription checks still use the network.)
• Best for: Solo piano — classical, jazz solos, piano-forward pop covers, your own practice recordings.
• Not for: Drums, guitar, vocals, or dense band mixes.

The workflow is covered in detail in our guide on learning any piano song note by note.

Basic Pitch — free, general-purpose, open source

Spotify's Basic Pitch is a lightweight open-source model that handles polyphonic audio across instruments and detects pitch bends. There's a browser demo and a Python package.

• Cost: Free and open source.
• Privacy: The browser demo runs locally; the Python package runs wherever you run it.
• Best for: Guitar, vocals, synths, or anything that isn't piano. Scripting and batch jobs.
• Not for: Squeezing maximum accuracy out of solo piano, where a specialist wins.

AnthemScore — paid, desktop, multi-instrument

AnthemScore is a mature desktop application with a spectrogram editing interface and MusicXML export.

• Cost: Paid license after a trial.
• Privacy: Local install, so audio stays on your machine.
• Best for: Transcribing mixed instrumentation and hand-correcting it in one application.
• Not for: Anyone who wants a free tool or doesn't want to install software.

We go deeper on this comparison in AnthemScore alternatives.

Transkun — research-grade, command line

Transkun is the transformer piano transcription model underlying Pianolyze. Run it from Python for full control and batch processing.

• Cost: Free, open source.
• Best for: Researchers, archivists, anyone processing hundreds of files.
• Not for: Anyone who wants a graphical interface.

If you maintain an archive of recordings — a conservatory library, a recital collection — this is the tool to script against, with a browser tool for spot-checking results.

Upload-based web services

Klangio, Piano2Notes, and similar services accept an upload and return a score, often with clean engraving.

• Cost: Freemium; full downloads generally paid.
• Privacy: Your audio is transmitted and stored on a third-party server.
• Best for: One-off scores where the recording isn't sensitive.

If the recording is a student's lesson, an unreleased composition, or a copyrighted performance, read the terms of service before uploading. This is the single most-overlooked factor in choosing a transcription tool.

Quick recommendations

What no tool does yet

Be clear about the ceiling. In 2026, no AI transcription tool reliably produces:

• Correct fingering, pedaling marks, or dynamics
• Sensible voice separation in dense contrapuntal writing
• Publication-quality engraving without human editing

What they do produce is an accurate note-and-timing skeleton in seconds, which used to take a trained musician hours. That's the actual value, and it's substantial. Treat the output as a first draft, not a finished score.