StemDeck:免费开源本地 AI 音轨分离工具
Free, local stem separation. No account. No upload. No subscription.
免费、本地化的音轨分离。无需账户。无需上传。无需订阅。
JOIN THE COMMUNITY
加入社区
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.
拖入MP3、WAV、FLAC、OGG/Opus、MP4或M4A文件,或粘贴YouTube链接,StemDeck将音频分割成最多六个音轨(人声、鼓、贝斯、吉他、钢琴、其他)。在类似DAW的多轨混音器中播放:静音、独奏、平衡音量、缩放波形、循环区域,并导出单个音轨或自定义混音。一切都在你自己的机器上本地运行。
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.
这是什么?StemDeck是一个音轨分离工具,不是下载器。它的主要任务是处理你已经拥有的音频:将MP3、WAV、FLAC、OGG或M4A拖到导入栏即可。YouTube支持是为你有权处理的内容提供的便利。StemDeck不存储、缓存或重新分发任何下载的内容。一切都在本地进行,没有任何内容离开你的机器。
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.
StemDeck是Moises和LALAL.AI等云端音轨分离器的免费、开源替代品:无需账户、无配额、无上传、无订阅。如果你想要用于个人学习的音轨,并倾向于保持本地和免费,StemDeck可以满足你。如果你需要更精致的功能、移动应用或更深入的音乐人工具,商业产品更适合。
Star History
星标历史
We Recommend
我们推荐
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 ❤️
StemDeck是免费的,不接受下面列出的任何人的金钱、赞助或资助。我分享这些创作者、艺术家和社区,纯粹是为了向你介绍那些做着美好工作的优秀人士。去认识他们吧❤️
| 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 |
| 名称 | 职责 | 链接 |
|---|---|---|
| Analog4Lyfe | 全模拟音乐设备,无数字捷径 | @analog4lyfe |
| r/bass | 我在Reddit上钟爱的贝斯社区 | r/Bass |
| Beltr | 将你已有的歌曲变成卡拉OK金曲,就在你自己的设备上,无需订阅,无需云端,只有你和麦克风 | beltr.app |
| Dlima Guitars | 定制吉他和贝斯,一次一把精心打造 | @dlimaguitars |
| Empress Effects | 为不妥协的音色追求者打造的高端效果器踏板 | empresseffects.com |
| Joao Gaspar | 制作人和电影配乐师,同时也作为巡演/录音室乐手演出 | @jay_glaspar |
| Kris Luthier | 在里斯本手工修复和翻新乐器,一次一个细致修复 | @krisluthier |
| Lisbon Guitar Works | 在里斯本手工制作的吉他 | dlimaguitars.com |
| More Notes Less Talk | 个性鲜明的乐器和设备,原始录制到磁带。无炒作,无门槛。 | @morenoteslesstalk |
| Seratone | 将任何电视变成录音室级卡拉OK舞台 | seratone.audio |
| slashCAM | 德语相机和视频技术:实操测试、行业新闻,以及大多数评测忽略的后期制作细节 | @slashcam.de |
| Thomann | 欧洲最大的音乐设备零售商之一,几乎涵盖音乐人所需的一切 | @thomann.music |
Features
功能
6-stem separation via Demucs htdemucs_6s, with auto-detection of the best Torch device (CUDA on NVIDIA, MPS on Apple Silicon, CPU fallback).
通过Demucs htdemucs_6s进行6音轨分离,自动检测最佳Torch设备(NVIDIA上的CUDA,Apple Silicon上的MPS,CPU回退)。
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.
YouTube和本地文件导入。粘贴YouTube URL或将MP3、WAV、FLAC、OGG/Opus、MP4或M4A直接拖放到导入栏。
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.
DAW风格波形编辑器,跨所有音轨的最小/最大采样渲染,共享归一化,缩放/适应,标尺上的循环拖动,金色播放头覆盖层,以及音轨对齐的通道。
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.
音轨子集提取。点击音轨芯片选择要保留的音轨。从“全部选中”点击会切换到“仅此一个”;后续点击添加或移除。
"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.
“原始”伴奏轨道。当你选择子集时,第7个通道包含补集(完整歌曲减去所选音轨),非常适合A/B参考而不重复。
Downloadable selected mix. A single mix.wav of just your selected stems, summed via ffmpeg amix.
可下载的所选混音。仅包含所选音轨的单个mix.wav文件,通过ffmpeg amix求和。
Per-stem mixer with volume fader, mute, solo, and "monitor" (solo-only) per stem. State syncs between the preview mixer and the stems sidebar.
每音轨混音器,带音量推子、静音、独奏和“监听”(仅独奏)功能。预览混音器和音轨侧边栏之间的状态同步。
Live VU meters per stem. Post-gain RMS via Web Audio analysers with peak hold and slow falloff.
每音轨实时VU表。通过Web Audio分析器进行增益后RMS,带峰值保持和缓慢衰减。
Song analysis including BPM (librosa beat tracker), key, scale, and confidence (Albrecht-Shanahan profiles), integrated LUFS (BS.1770), and sample peak in dBFS.
歌曲分析包括BPM(librosa节拍跟踪器)、调性、音阶和置信度(Albrecht-Shanahan配置文件),集成LUFS(BS.1770),以及dBFS中的采样峰值。
Cancellable jobs. Cancel mid-pipeline and the runner terminates the active subprocess immediately, deletes the partial job dir, and returns to ready.
可取消的任务。取消进行中的管道,运行器会立即终止活动子进程,删除部分任务目录,并返回就绪状态。
Library panel with folder-based track organisation, drag-and-drop, search, and trash.
库面板,支持基于文件夹的曲目组织、拖放、搜索和回收站。
Honest Comparison
诚实的对比
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 并不试图与商业音频分离产品竞争。它很好地覆盖了核心用例,并止步于此。此表的存在是为了让你做出明智的选择,而不是事后才发现差距。
| 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 |
| StemDeck | Moises / LALAL.AI / 类似产品 | |
|---|---|---|
| 价格 | 永久免费 | 免费增值;常规使用需积分或订阅 |
| 托管 | 完全在您的机器上运行 | 云端;音频必须上传到他们的服务器 |
| 账户/登录 | 无 | 必需 |
| 互联网要求 | 仅用于 YouTube 下载和首次模型获取(约 170 MB,之后缓存) | 始终需要;不支持离线使用 |
| 隐私 | 音频永不离开您的机器 | 音频上传并在第三方服务器上处理 |
| 数据保留 | 您控制;随时删除 | 受其隐私政策和保留期限约束 |
| 音频分离模型 | Demucs htdemucs_6s(开源,Meta AI) | 专有模型,定期更新,通常质量更高 |
| 分离音轨数 | 6(人声、鼓、贝斯、吉他、钢琴、其他) | 根据服务和计划最多 10 个 |
| 输入格式 | YouTube URL、MP3、WAV、FLAC、OGG/Opus、MP4、M4A | MP3、WAV、FLAC、M4A 等,取决于服务 |
| 处理速度 | 取决于您的硬件;有 GPU 时快,仅 CPU 时慢 | 无论您的硬件如何都很快(在他们的服务器上运行) |
| 批量处理 | 一次一个任务 | 支持,付费计划 |
| 移动应用 | 无 | iOS 和 Android |
| 额外功能 | 无(无变调、和弦检测、歌词、节拍器、BPM 点击) | 有,因产品而异 |
| 打磨程度 | 功能性、业余级 UI | 精致、生产级应用 |
| 源代码 | 开源,可分支,可自托管 | 闭源 |
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.
如果您需要速度、质量、移动访问或额外的音乐人工具,商业产品物有所值。如果您想要用于个人学习的音轨,更倾向于保持音频私密,或者只是想要一个本地运行且无附加条件的工具,StemDeck 就足够了。
Download
下载
Pre-built installers and zips are attached to each GitHub Release.
预构建的安装程序和压缩包附在每个 GitHub Release 中。
macOS
macOS
| DMG | GPU | Chip |
|---|---|---|
| StemDeck-macOS-arm64.dmg | Apple Silicon (MPS) | M1 and later |
| StemDeck-macOS-x64.dmg | CPU only | Intel |
| DMG | GPU | 芯片 |
|---|---|---|
| StemDeck-macOS-arm64.dmg | Apple Silicon (MPS) | M1 及更高版本 |
| StemDeck-macOS-x64.dmg | 仅 CPU | 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.
打开DMG文件,将StemDeck拖入应用程序文件夹,然后启动它。首次启动时,设置界面会下载Python运行时(约500 MB)、FFmpeg和Demucs模型(约170 MB)。后续启动将跳过设置,几秒钟内即可开始使用。无需Python或系统依赖。
macOS may show a Gatekeeper prompt on first open — right-click the app and choose Open to bypass it.
macOS在首次打开时可能会显示Gatekeeper提示——右键点击应用并选择“打开”即可绕过。
Windows
Windows
| Zip | GPU | Approx. size |
|---|---|---|
| StemDeck-Windows-x64.zip | CPU only | ~700 MB |
| StemDeck-Windows-x64.NVIDIA.zip | NVIDIA CUDA | ~1.6 GB |
| Zip | GPU | 大约大小 |
|---|---|---|
| StemDeck-Windows-x64.zip | 仅CPU | 约700 MB |
| StemDeck-Windows-x64.NVIDIA.zip | NVIDIA CUDA | 约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.
将zip文件解压到任意位置,运行StemDeck.exe。FFmpeg、Demucs模型、配置和日志存放在StemDeck.exe旁边的data/文件夹中,而非AppData中;将整个解压文件夹移动或复制到任何地方,它都能继续工作。首次启动时,应用会验证捆绑的Python运行时,并下载FFmpeg和Demucs模型(约170 MB)到该文件夹中。后续启动将跳过此步骤,几秒钟内即可开始使用。一切自包含,无需Python或系统依赖。您的任务/库数据保留在通常位置(默认情况下为~/Documents/StemDeck),并可在任何时候通过“设置 → StemData位置”进行迁移。
Technologies
技术
更进一步:量化金融体系
看懂新闻只是起点——沿量化金融路径,把它变成能交付的工程能力