LogoAI Stem Splitter
首页价格
API 参考

REST 端点、认证、回调、OpenAPI 3.1 规范。

SDK

七个第一方 SDK(Node、Python、Java、Go、PHP、Swift、Lua)。

获取 API key

在 Settings → Developer 中创建 key。

调性识别

识别速度与音乐调性 — 无需注册

Nightcore Maker

Nightcore, daycore, or sped-up versions from a YouTube link or upload.

Pitch Changer · 音调调整

上下调整音调,不改变速度。

Slowed Reverb Maker · 慢速混响生成器

为 TikTok、Reels 和慢速播放列表制作慢速+混响 edit。

TikTok Voice 生成器

免费生成短视频 AI 旁白。

AI Vocal Removal

Remove vocals for karaoke tracks, quick acapellas, and six-stem previews from files or supported links

AI Acapella Extractor

为 remix、mashup 或 DJ 剪辑从任何歌曲中提取一段干净的 acapella。

YouTube 与 SoundCloud 人声移除器

粘贴 YouTube 或 SoundCloud 链接,拆分出人声、鼓、贝斯、钢琴、吉他和其他分轨

Karaoke Maker

Remove vocals from a song to make a clean instrumental backing track for sing-alongs, rehearsals, and karaoke nights

AI Drum Remover

上传一首歌,下载一段无鼓伴奏 —— 人声、贝斯和除了鼓以外的全部音乐。

Voice Isolator

从嘈杂采访、通话、现场录音和语音备忘中提取 spoken voice。

博客任务中心
LogoAI Stem Splitter

使用这个模板,更快上线你的下一个 AI 产品。

GitHubDiscordEmail
产品
  • 功能
  • 价格
  • 常见问题
免费工具
  • 调性识别
  • Nightcore Maker
  • Pitch Changer · 音调调整
  • Slowed Reverb Maker · 慢速混响生成器
  • TikTok Voice 生成器
AI 工具
  • AI Vocal Removal
  • AI Acapella Extractor
  • YouTube 与 SoundCloud 人声移除器
  • Karaoke Maker
  • AI Drum Remover
  • Voice Isolator
替代方案
  • Lalal.ai 替代品
  • Splitter.ai alternative
资源
  • 博客
  • API
开发者
  • API 参考
  • SDK
  • 获取 API key
集成
  • n8n 集成
信任背书
  • Stripe Climate
  • Product Hunt
法律
  • Cookie政策
  • 隐私政策
  • 服务条款
BadgeBadge
BadgeBadge
BadgeBadge
BadgeBadge
© 2026 AI Stem Splitter All Rights Reserved.
How to Remove Vocals from Any Song: A Beginner's Step-by-Step Guide (2026)
2026/05/18

How to Remove Vocals from Any Song: A Beginner's Step-by-Step Guide (2026)

Step-by-step guide to removing vocals from any song with AI. No software to install, no signup for your first try. Get a clean instrumental in under 90 seconds.

An audio waveform splitting into vocals and instrumental halves

You hear a song and want the music without the singing. Maybe you're putting together a karaoke night, recording a cover, building a remix, or chopping a sample. The answer used to involve fiddly audio software, a phase-invert trick that only works on some songs, and a result that's "close enough if nobody's listening too hard."

Not anymore. In 2026, an AI model can separate the vocals from any song in under a minute, and you don't have to install anything to use it.

Here's exactly how to do it, what to listen for once it's done, and the small prep choices that decide whether your instrumental sounds great or leaves a ghost of the singer behind.

Why this is harder than it sounds

The old method most YouTube tutorials still show is the phase-invert trick in Audacity. Split a stereo file into two mono channels, invert one, and the vocal — which is usually mixed dead-center — cancels itself out.

It works. Sometimes. The problem is that it only works on songs where the vocal is perfectly center-panned, and it kills your bass and any stereo reverb along with the vocal. You end up with a thin instrumental and a vocal "shadow" left behind by the reverb tail.

AI changes the math. Instead of cancelling sounds against each other, a trained model has learned what a vocal sounds like and pulls it out of the mix. That means it can separate a song even when the vocal is panned, doubled, or drenched in reverb.

The model AI Stem Splitter uses is htdemucs, the same family Meta released to the open-source community after winning the Sony MDX challenge. You don't need to know how it works to use it — but it's why the result is so much cleaner than anything you'd get from a phase-invert.

Old way phase invert versus AI way htdemucs comparison

Step 1: Prep your file

You can skip this section if you already have the song as a clean file on your computer. But two small choices make a real difference.

Pick a lossless format if you can. AI Stem Splitter accepts MP3, WAV, FLAC, M4A, AAC, OGG, and WEBM. If you're working from a source that gives you a choice — say, you ripped from a CD or have a high-quality download — pick WAV or FLAC. MP3 is fine, but its compression adds a faint haze in cymbals and high-vocal regions, and the AI sometimes drags that haze into the split.

Check for clipping. Play 10 seconds of the loudest chorus. If you hear crunch, crackle, or distortion in the original, the AI can't fix it — and any artifacts in the source will get amplified in the separated stems. A clean source equals a clean result.

Stay under 50 MB. That's the file size cap for a single upload. A standard 4-minute 320kbps MP3 lands around 9 MB, and a 24-bit WAV around 40 MB, so most songs fit comfortably. If yours doesn't, convert to a lower bitrate before uploading.

Step 2: Upload to AI Stem Splitter

Open aistemsplitter.org. The homepage has an upload zone right there — you don't need to sign up to try your first song.

Either drag your audio file directly onto the dashed box, or click it to open your file browser. The button is labeled "Upload & split free".

You'll see a small option underneath about choosing 4-stem or 6-stem. Stick with the 4-stem default unless you specifically need a separate guitar or piano track — the 4-stem model (vocals, drums, bass, other) is higher audio quality and is what you want for vocal removal.

That's it. As soon as the file finishes uploading, the AI starts working.

Cursor walkthrough of the AI Stem Splitter homepage

A quick tour of where the upload, split, and download controls live on the homepage.

Step 3: Let it run

You'll see a progress screen with a wheel and a few status labels rotating: Uploading audio file → Analyzing frequencies → Separating stems → Enhancing quality. A 3-minute song typically finishes in 60 to 90 seconds.

You don't have to sit and watch. The job runs on the server. If you close the tab or your laptop goes to sleep, the split keeps going — you can reopen it later from the dashboard. There's no email step, no captcha gauntlet, no "verify your account to continue".

Step 4: Pick "Instrumental" and download

When the split finishes, you land on a result page with a large waveform player at the top and a card asking "What are you here for?"

Tap "Instrumental (no vocals)". The player switches to play only the music — drums, bass, and the rest of the mix, minus the singing. Hit play. Listen to the chorus.

Once you're happy with what you hear, the button below the intent card reads "Download instrumental (vocals removed)". One click and you have the file.

If you also want the isolated vocal (handy for covers, edits, or vocal practice), pick "Vocals only" and download separately. To grab every stem at once, use "Download all as ZIP" — you'll get vocals, drums, bass, and "other" as four separate files.

How to tell if the split is any good

Not every song separates perfectly. The AI is excellent on most modern pop, rock, hip-hop, and electronic tracks — and noticeably weaker on very dense mixes, songs with heavy reverb, or recordings with backing vocals layered behind the lead.

Here's a 30-second quality check:

  1. Skip to the chorus. Choruses are usually the densest moment of any song. If the instrumental sounds clean there, the verses will be fine too.
  2. Listen for vocal bleed. A faint "shhh" or sibilance ghost over the music means residual vocal made it through. On a good split, you hear nothing.
  3. Check the bass. Does the low end still feel anchored, or does the song sound thin? AI splits preserve bass much better than phase-invert, but heavy sub-bass can sometimes get pulled with the "other" stem.
  4. First 10 seconds of the chorus is your pass/fail. If you can imagine singing over it without noticing artifacts, the instrumental is good enough for almost any use.

Annotated waveform showing bleed, bass, reverb, and clean separation

Common pitfalls and what to do

The instrumental still has a ghost of the singer. Run the split again with the 6-stem model — sometimes the extra resolution helps with reverb-heavy mixes.

The song was already mono. Mono recordings give the AI less spatial information to work with, but htdemucs still handles them. The result might be slightly less clean — expected.

File too big. Convert the source to a lower bitrate (192–256 kbps MP3 is plenty for separation) before uploading.

Backing vocals stayed in the instrumental. Modern AI models treat all voices as "vocals" by default. If the backing vocal is harmonized with the lead, you'll likely lose both. If it's a spoken sample or chant, it may stay in "other".

FAQ

Is it legal to remove vocals from a copyrighted song?

Creating an instrumental for personal use — karaoke at home, vocal practice, learning a song — is generally considered fair use in most countries. Distributing, publicly performing, or selling a vocal-removed version of a copyrighted recording is a separate question and depends on your jurisdiction. When in doubt, keep your edits private.

What's the difference between "removing vocals" and "extracting vocals"?

Removing vocals gives you an instrumental — the song minus the singer. Extracting vocals gives you an acapella — only the singer, with the music removed. AI Stem Splitter produces both in the same split; you choose which to download.

Does it work on songs from YouTube or SoundCloud?

Yes — paste the URL on the YouTube & SoundCloud vocal remover page and AI Stem Splitter pulls the audio for you. No need to download the song first.

How long does each split take?

A typical 3-minute song finishes in 60 to 90 seconds. Longer tracks scale roughly linearly. You can close the tab; the job keeps running on the server.

Can I do this on my phone?

Yes. AI Stem Splitter runs in any modern mobile browser — Safari on iPhone, Chrome on Android. Upload from your phone's files or photo library, and download the result back to your device when it's done.

Karaoke covers remix samples use-case grid

Try your first song free

Your first split runs free — no signup, no credit card. AI Stem Splitter gives you 10 minutes of processing on the house when you create an account, and credits never expire.

Upload a song now, listen to the instrumental, and decide for yourself whether the 2026 version of vocal removal lives up to the demo.

全部文章

作者

avatar for AI Stem Splitter Team
AI Stem Splitter Team

分类

    更多文章

    htdemucs vs BS-RoFormer vs Spleeter:2026 年音源分离基准评测

    htdemucs vs BS-RoFormer vs Spleeter:2026 年音源分离基准评测

    从 SDR 分数、推理成本到真实生产延迟,全面对比三个主流开源音源分离模型——以及在生产环境中各自真正合适的场景。

    avatar for AI Stem Splitter Team
    AI Stem Splitter Team
    2026/04/28
    如何用 AI Stem Splitter 制作练习伴奏

    如何用 AI Stem Splitter 制作练习伴奏

    一套实用流程,做出「除自己乐器外全套乐队」的伴奏——涵盖模型选择(4 轨 vs 6 轨)、人声/吉他/贝斯/鼓的分步操作、哪些歌分不干净,以及怎么降速。

    avatar for AI Stem Splitter Team
    AI Stem Splitter Team
    2026/05/18
    最佳人声去除工具横评:我用同一首歌实测了 7 款

    最佳人声去除工具横评:我用同一首歌实测了 7 款

    我把同一首 Pixabay 曲目分别丢给 LALAL.AI、Moises、vocalremover.org、Voice.ai、Fadr、UVR 和我自己做的 AI Stem Splitter。这是一份戴着耳机听出来的诚实对比,外加一份获取干净六轨输出的逐步操作指南。

    avatar for AI Stem Splitter Team
    AI Stem Splitter Team
    2026/05/18