翻訳待ち：StemDeck, a free, open-source and local AI stem separator

AI サービスが一時的に利用できないため、復旧後に翻訳を補完します。

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Notifications You must be signed in to change notification settings Fork 245 Star 2.5k BranchesTags Open more actions menu Latest commit History 298 Commits 298 Commits Folders and files NameName Last commit message Last commit date .github .github app app build build desktop desktop docs docs imgs imgs packaging packaging scripts scripts static static templates templates tests tests .dockerignore .dockerignore .gitattributes .gitattributes .gitignore .gitignore .trivyignore .trivyignore CODE_OF_CONDUCT.md CODE_OF_CONDUCT.md CONTRIBUTING.md CONTRIBUTING.md LICENSE LICENSE README.md README.md ROADMAP.md ROADMAP.md SECURITY.md SECURITY.md ca_profile.xml ca_profile.xml package-lock.json package-lock.json package.json package.json playwright.config.mjs playwright.config.mjs pyproject.toml pyproject.toml run.sh run.sh uv.lock uv.lock Repository files navigation JOIN THE COMMUNITY Drop in an MP3, WAV, FLAC, OGG/Opus, MP4, or M4A file, or paste a YouTube URL, and StemDeck splits the audio into up to six stems (vocals, drums, bass, guitar, piano, other). Play them back in a DAW-style multitrack mixer: mute, solo, balance levels, zoom the waveform, loop a region, and export individual stems or a custom mix. Everything runs locally on your own machine. What is this? StemDeck is a stem separation tool, not a downloader. Its main job is processing audio you already own: drag an MP3, WAV, FLAC, OGG, or M4A onto the import bar and go. YouTube support is a convenience for content you have the right to process. StemDeck does not store, cache, or redistribute any downloaded content. Everything happens locally and nothing leaves your machine. StemDeck is a free, open alternative to cloud stem-splitters like Moises and LALAL.AI: no account, no quota, no uploads, no subscription. If you want stems for personal study and prefer to keep things local and free, StemDeck has you covered. If you need the polish, a mobile app, or deeper musician tooling, the commercial products are a better fit. Star History We Recommend StemDeck is free and does not accept any money, sponsorship, or funding from anyone listed below. I share these makers and artists and communities purely for the joy of pointing you toward wonderful people doing beautiful work. Go meet them ❤️ Name What they do Link Analog4Lyfe All-analog music gear, no digital shortcuts @analog4lyfe r/bass My beloved bass community on reddit r/Bass Beltr Turns the songs you already own into karaoke gold, right on your own machine, no subscription, no cloud, just you and the mic beltr.app Dlima Guitars Custom guitars and basses, built one at a time @dlimaguitars Empress Effects Boutique effects pedals for tone chasers who don't settle empresseffects.com Joao Gaspar Producer and film scorer, also plays as a touring/session musician @jay_glaspar Kris Luthier Hand-repairs and restores instruments in Lisbon, one careful fix at a time @krisluthier Lisbon Guitar Works Guitars built by hand in Lisbon dlimaguitars.com More Notes Less Talk Instruments and gear with personality, recorded raw to tape. No hype, no gatekeeping. @morenoteslesstalk Seratone Turns any TV into a studio-grade karaoke stage seratone.audio slashCAM German-language camera and video tech: hands-on tests, industry news, and the post-production details most reviews skip @slashcam.de Thomann One of Europe's largest music gear retailers, practically everything a musician could need @thomann.music Features 6-stem separation via Demucs htdemucs_6s, with auto-detection of the best Torch device (CUDA on NVIDIA, MPS on Apple Silicon, CPU fallback). YouTube and local file import. Paste a YouTube URL or drop an MP3, WAV, FLAC, OGG/Opus, MP4, or M4A directly onto the import bar. DAW-style waveform editor with min/max sample rendering across all stems, shared normalization, zoom in/out/Fit, loop drag on the ruler, gold playhead overlay, and stem-aligned lanes. Stem subset extraction. Click stem chips to choose which stems to keep. Clicking from "all selected" snaps to "only this one"; subsequent clicks add or remove. "Original" backing track. When you pick a subset, a 7th lane contains the complement (full song minus selected stems), perfect for A/B reference without doubling. Downloadable selected mix. A single mix.wav of just your selected stems, summed via ffmpeg amix. Per-stem mixer with volume fader, mute, solo, and "monitor" (solo-only) per stem. State syncs between the preview mixer and the stems sidebar. Live VU meters per stem. Post-gain RMS via Web Audio analysers with peak hold and slow falloff. Song analysis including BPM (librosa beat tracker), key, scale, and confidence (Albrecht-Shanahan profiles), integrated LUFS (BS.1770), and sample peak in dBFS. Cancellable jobs. Cancel mid-pipeline and the runner terminates the active subprocess immediately, deletes the partial job dir, and returns to ready. Library panel with folder-based track organisation, drag-and-drop, search, and trash. Honest Comparison StemDeck is not trying to compete with commercial stem-separation products. It covers the core use case well and stops there. This table exists so you can make an informed choice rather than discover the gaps after the fact. StemDeck Moises / LALAL.AI / similar Price Free, forever Freemium; credits or subscription required for regular use Hosting Runs entirely on your machine Cloud; audio must be uploaded to their servers Account / login None Required Internet required Only for YouTube download and first model fetch (~170 MB, cached after) Always; no offline use Privacy Audio never leaves your machine Audio is uploaded and processed on third-party servers Data retention You control it; delete anytime Governed by their privacy policy and retention period Stem model Demucs htdemucs_6s (open source, Meta AI) Proprietary models, regularly updated, generally higher quality Stem count 6 (vocals, drums, bass, guitar, piano, other) Up to 10 depending on service and plan Input formats YouTube URL, MP3, WAV, FLAC, OGG/Opus, MP4, M4A MP3, WAV, FLAC, M4A, and more depending on service Processing speed Depends on your hardware; fast with a GPU, slow on CPU only Fast regardless of your hardware (runs on their servers) Batch processing One job at a time Yes, on paid plans Mobile app No iOS and Android Extra features No (no pitch shift, chord detection, lyrics, click track, BPM tap) Yes, varies by product Polish Functional, hobby-grade UI Polished, production-grade apps Source code Open source, forkable, self-hostable Closed source If you need speed, quality, mobile access, or the extra musician tooling, the commercial products are worth the money. If you want stems for personal study, prefer to keep audio private, or just want something that runs locally with no strings attached, StemDeck is enough. Download Pre-built installers and zips are attached to each GitHub Release. macOS DMG GPU Chip StemDeck-macOS-arm64.dmg Apple Silicon (MPS) M1 and later StemDeck-macOS-x64.dmg CPU only Intel Open the DMG, drag StemDeck to Applications, and launch it. On first launch the setup screen downloads the Python runtime (~500 MB), FFmpeg, and the Demucs model (~170 MB). Subsequent launches skip setup and start in seconds. No Python or system dependencies required. macOS may show a Gatekeeper prompt on first open — right-click the app and choose Open to bypass it. Windows Zip GPU Approx. size StemDeck-Windows-x64.zip CPU only ~700 MB StemDeck-Windows-x64.NVIDIA.zip NVIDIA CUDA ~1.6 GB Extract the zip anywhere, run StemDeck.exe. FFmpeg, the Demucs model, config, and logs live in a data/ folder next to StemDeck.exe, not in AppData; move or copy the whole extracted folder anywhere and it keeps working. On first launch the app verifies the bundled Python runtime and downloads FFmpeg and the Demucs model (~170 MB) into that folder. Subsequent launches skip this and start in seconds. Everything is self-contained; no Python or system dependencies required. Your job/library data stays in its usual location (~/Documents/StemDeck by default) and is relocatable anytime from Settings → StemData location. Technologies StemDeck is built on Python 3.12 managed via uv, with a FastAPI backend serving REST and Server-Sent Events. Stem separation uses Demucs (htdemucs_6s), Meta AI's open-source 6-stem neural network. The optional on-demand lead/backing vocal split runs the UVR-MDX-NET Karaoke 2 model via audio-separator, trained as part of the Ultimate Vocal Remover project by Anjok07. YouTube audio is fetched via yt-dlp; transcoding and mixing use FFmpeg. BPM detection and key analysis run on librosa; loudness measurement uses pyloudnorm (ITU-R BS.1770). The macOS and Windows desktop shells are Tauri v2 (Rust/WKWebView on macOS, Rust/WebView2 on Windows). The frontend is vanilla JS with the Web Audio API, no framework and no build step; waveforms are rendered on using min/max sample rendering. Thanks to the creators and maintainers of all the open-source libraries that make StemDeck possible. Build from Source macOS Native App Requires Rust, Node.js, and Python 3.12. Builds a self-contained .app that downloads its own runtime on first launch. # First time only — add the cross-compilation targets rustup target add aarch64-apple-darwin # Apple Silicon rustup target add x86_64-apple-darwin # Intel # Build Apple Silicon ARCH=arm64 scripts/macos/make-runtime-pack.sh ARCH=arm64 scripts/macos/make-app.sh ARCH=arm64 scripts/macos/make-dmg.sh # Build Intel (requires Rosetta 2 and an x86_64 Python) ARCH=x64 scripts/macos/make-runtime-pack.sh ARCH=x64 scripts/macos/make-app.sh ARCH=x64 scripts/macos/make-dmg.sh The .app lands at desktop/src-tauri/target//release/bundle/macos/StemDeck.app. The DMG lands at .build/macos-dist/StemDeck-macOS-.dmg. To run a fresh build directly without the DMG: open desktop/src-tauri/target/aarch64-apple-darwin/release/bundle/macos/StemDeck.app If macOS blocks the app with a Gatekeeper prompt, run: xattr -dr com.apple.quarantine desktop/src-tauri/target/aarch64-apple-darwin/release/bundle/macos/StemDeck.app Note: To test a clean first-launch during development, you can wipe previous app data first: rm -rf ~/Library/Application\ Support/StemDeck. Don't do this on a real install. Web Server (macOS / Linux / Windows with Python 3.12+) Prerequisites Python 3.12 or newer, ffmpeg on your PATH, and uv. Around 170 MB of free disk for the Demucs model, which downloads automatically on first run. macOS / Linux (one-shot) git clone https://github.com/stemdeckapp/stemdeck stemdeck && cd stemdeck ./run.sh setup # installs ffmpeg + uv, runs uv sync ./run.sh start Open http://localhost:8000. setup uses Homebrew on macOS and apt-get on Debian/Ubuntu. For other Linux distros, install ffmpeg and uv manually, then run uv sync followed by ./run.sh start. Windows (PowerShell) Install prerequisites: uv — winget install astral-sh.uv ffmpeg — winget install Gyan.FFmpeg (or Chocolatey: choco install ffmpeg) git clone https://github.com/stemdeckapp/stemdeck stemdeck; cd stemdeck uv sync uv run uvicorn app.main:app --host 127.0.0.1 --port 8000 --timeout-graceful-shutdown 5 Open http://localhost:8000. run.sh is macOS/Linux only. On Windows use the PowerShell commands above, or run inside WSL. NVIDIA GPU (CUDA): install the CUDA-enabled torch build before starting: uv pip install torch torchvision torchaudio --index-url https://download.pytorch.org/whl/cu124 $env:STEMDECK_DEMUCS_DEVICE = "cuda" uv run uvicorn app.main:app --host 127.0.0.1 --port 8000 --timeout-graceful-shutdown 5 Manual (any platform) git clone https [truncated for AI cost control]