LogoAI Stem Splitter
首頁價格
API 參考文件

REST endpoints、驗證、callbacks、OpenAPI 3.1 規格。

SDKs

7 個第一方 SDK(Node、Python、Java、Go、PHP、Swift、Lua)。

取得 API 金鑰

在 Settings → Developer 中產生金鑰。

調性識別

識別速度與音樂調性 — 無需註冊

Nightcore Maker

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

Pitch Changer 變調工具

上下調整音高,不影響速度。

Slowed Reverb 製作器

為 TikTok、Reels 和 slowed 播放清單製作慢速 + 殘響版本。

TikTok Voice 生成器

免費生成短影音 AI 旁白。

AI Vocal Removal

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

Acapella 人聲提取器

從任何一首歌拉出乾淨的 acapella,做 remix、mashup 或 DJ 剪輯都能用。

YouTube 與 SoundCloud 人聲移除器

貼上 YouTube 或 SoundCloud 連結,拆分出人聲、鼓、貝斯、鋼琴、吉他和其他分軌

Karaoke Maker

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

AI 鼓聲去除器

上傳一首歌,下載一條無鼓音軌——人聲、貝斯,以及除了鼓以外的所有聲部。

Voice Isolator

從嘈雜訪談、通話、現場錄音和語音備忘中提取 spoken voice。

博客任務中心
LogoAI Stem Splitter

使用這個模板,更快上線你的下一個 AI 產品。

GitHubDiscordEmail
產品
  • 功能
  • 價格
  • 常見問題
免費工具
  • 調性識別
  • Nightcore Maker
  • Pitch Changer 變調工具
  • Slowed Reverb 製作器
  • TikTok Voice 生成器
AI 工具
  • AI Vocal Removal
  • Acapella 人聲提取器
  • YouTube 與 SoundCloud 人聲移除器
  • Karaoke Maker
  • AI 鼓聲去除器
  • Voice Isolator
替代方案
  • Lalal.ai 替代方案
  • Splitter.ai alternative
資源
  • 博客
  • API
開發者
  • API 參考文件
  • SDKs
  • 取得 API 金鑰
整合
  • n8n 整合
信任背書
  • Stripe Climate
  • Product Hunt
法律
  • Cookie政策
  • 隱私政策
  • 服務條款
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

分類

    更多文章

    最佳人聲移除器工具比較:我用同一首歌實測了 7 款

    最佳人聲移除器工具比較:我用同一首歌實測了 7 款

    我把同一首 Pixabay 曲目丟進 LALAL.AI、Moises、vocalremover.org、Voice.ai、Fadr、UVR,以及我自己的 AI Stem Splitter。這是戴耳機實測後誠實的比較,外加一份取得乾淨六軌輸出的逐步操作指南。

    avatar for AI Stem Splitter Team
    AI Stem Splitter Team
    2026/05/18
    如何使用 AI Stem Splitter 製作練習用的伴奏帶

    如何使用 AI Stem Splitter 製作練習用的伴奏帶

    一套實用的工作流程,教你做出「除了你的樂器之外什麼都有」的伴奏帶——涵蓋模型選擇(4 軌 vs 6 軌)、人聲/吉他/貝斯/鼓的個別步驟、哪些歌曲分軌效果不佳,以及如何放慢速度練習。

    avatar for AI Stem Splitter Team
    AI Stem Splitter Team
    2026/05/18
    htdemucs vs BS-RoFormer vs Spleeter:2026 音源分離基準測試

    htdemucs vs BS-RoFormer vs Spleeter:2026 音源分離基準測試

    從 SDR 分數、推論成本到實際延遲,比較 htdemucs、BS-RoFormer 與 Spleeter 三大開源音源分離模型——基於 aistemsplitter.org 的生產部署實測資料。

    avatar for AI Stem Splitter Team
    AI Stem Splitter Team
    2026/04/28