Instrumental Extractor

商业用途OK 380+模型 无水印 不需要注册
型号 :
+ GPT-5, Claude, Gemini

拖放音频文件, 或单击浏览

支持MP3、WAV、FLAC、OGG最多可达500MB的MP3、WAV、FLAC、OGG

未选中文件
Upload a song to separate it into individual stems: vocals, drums, bass, and other (instruments). Each stem gets its own player and download button.
~1,000 tokens base + ~50/sec of audio (~3K for a 1-min track)
Separated Stems

你能做什么,你能够做什么

解析 Vocals

将音轨从任何歌曲中分离出来。 适合创建 acapellas、 remixes 或卡拉OK 版本 。

获取乐器

删除声音以获得干净的工具轨迹。 用于背景音乐、 封面或练习会话 。

4 独立的 Stems

分成声响、 鼓声、 贝斯 和其他乐器。 每根干叶都有自己的音频播放器和下载按钮 。

多重格式

MP3, WAV, FLAC, 或 OGG 文件上传至 5000MB 。 使用任何音频格式和质量级别 。

快速处理

我们的GPU的AI动力干干分离运行,大多数轨道在一分钟内处理完毕。

下载每个 Stem

每个分离的干茎都可以单独下载。只要声音,鼓,或所有四根。

如何使用

上传您的音频

拖放音频文件或单击以浏览。 支持 MP3、 WAV、 FLAC 和 OGG 最多可达 5000MB 。

单击删除 Vocals

按下按钮,我们的人工智能将分析音频 并用深层次的学习 将音频分离成个别的发源

每个列列预览

每个干叶都有自己的音频播放器。

下载你的根

下载任何或全部分离的根。 用于混音、 卡拉OK、 音乐制作或练习 。

记脚成本

行动和行动行动的行动使用时代数Output
Stem 分离~50/sec4根:声响、鼓声、低音、低音、其他

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处理您的请求...

Pull the instrumental track out of any song with AI. Drop in MP3 or WAV, get a clean instrumental in seconds. Powered by Meta Demucs (MIT). No sign up.

如何使用 Instrumental Extractor

1
输入输入

键入文本、上传文件或描述您想要的东西。不需要账户 。

2
点击生成

我们的人工智能使用最佳的开放源码模型,在秒内处理你的请求。

3
下载共享( S)

下载、复制或分享您的结果。 免费个人和商业使用 。

通过 API 使用此工具

从您自己的代码中自动启用此工具。 OpenAI 兼容的 REST 端点、 Bearer-tok 异常点、 不需要额外的 SDK 。 Token 成本符合网络界面 。

curl -X POST https://api.free.ai/v1/music/generate/ \
  -H "Authorization: Bearer sk-free-..." \
  -H "Content-Type: application/json" \
  -d '{"prompt": "upbeat synthwave instrumental", "duration": 30}'

Instrumental Extractor — FAQ

It pulls the instrumental track — drums, bass, melody, everything except vocals — out of any song you upload. Same Demucs source-separation model used by Moises, Splitter.ai, and PhonicMind, but free and unlimited.

We run Meta's Demucs (MIT license) on your MP3/WAV. It separates the audio into four stems — vocals, drums, bass, other — and we mix the three non-vocal stems back together. Output is a clean instrumental WAV.

MP3, WAV, M4A, FLAC, OGG, AIFF, and most other audio formats ffmpeg can decode. Max upload size is 50 MB (about 5 minutes of 128 kbps MP3 or 3 minutes of 320 kbps).

About 6-15 seconds per minute of audio on our A100. A typical 3-minute song extracts in 25-40 seconds end-to-end including upload + download.

Excellent on well-mixed studio tracks. Acceptable on dense pop / rock / hip-hop. Weaker on songs where the vocal sits very low in the mix or is heavily processed (heavy reverb, doubled vocals, vocoder). For those tracks, expect some residual vocal in the output.

Personal use (practice, sing-along, study) generally falls under fair use. Public performance, distribution, or commercial release of the extracted instrumental WITHOUT a mechanical or sync license is not allowed. You're responsible for how you use the output.

About 3,000 tokens per song, regardless of song length (it's per-request, not per-second, because Demucs is compute-heavy and we're budgeting for the worst-case 5-minute case). Free daily-pool tokens cover most users.

Yes — use /music/stem-splitter/ to get all four stems (vocals / drums / bass / other) as separate files in a ZIP, or /music/isolate-vocals/ to get just the acapella.

Same Demucs model, same quality. Moises charges $4/month for a small monthly quota. LALAL.AI and Splitter charge per-track. Free.ai is pay-with-tokens (or daily-free-pool), no monthly subscription, no upload caps.

WAV at 44.1 kHz, 16-bit stereo by default. MP3 download is also available via the format dropdown if you want a smaller file for sharing.

On the free tier one at a time. Signed-in users can queue multiple via /batch/ — drop a folder of MP3s, get back a folder of instrumentals. API is also available for bulk automation.

Yes — POST an audio file to /v1/audio/separate/ with `mode=instrumental`. Returns a job_id you poll for completion + the WAV URL when done. Docs at /api/.

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