Instrumental Extractor

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Kāhua:
+ GPT-5, Claude, Gemini

Ka tangohia tētahi pūkete oro ki tēnei wāhi, ka kōwhiri rānei hei tohutohu

E tautoko ana i te MP3, WAV, FLAC, OGG tae atu ki te 50MB

Kāore he faila i tīpakohia
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

Ko te mea e taea e koe

Whakapūkete i ngā kupu whakarongo

Whakawhāiti i te whakairo oro mai i tētahi waiata. Pai mo te waihanga i ngā whakairo, i ngā whakairo, i ngā putanga karaoke rānei.

Ki te whiwhi pūrere

Ka tangohia ngā pūoro hei whiwhi pūoro pūoro mārō. Ka whakamahia mō ngā pūoro papamuri, ngā kāwai, ngā hautanga whakaakoranga rānei.

4 ngā rākau wehe

Ka wehea ki ngā pūoro, ngā pū, te pū me ētahi atu pūoro. Ka whiwhi a ia rākau i tōna ake pūkōrero oro me te pihi tāpiri.

He maha nga hanga

Whakaputa i ngā MP3, WAV, FLAC, OGG rānei ki ngā pūkete tae atu ki te 50MB. Ka mahi ki tētahi āhua reo me te taumata āhuatanga.

Āhuatanga tere

Ko te wehenga tātā AI-powered e haere ana i runga i a tātau GPUs. Ko te nuinga o ngā whakatere e mahia ana i raro i te minu.

Whakahua i ia karihi

Ka taea e ia rākau wehe te whakataki i tētahi tangata. Ka whiwhi ngā pūoro anake, ngā tārua anake, ngā rākau katoa rānei.

He pēhea te whakamahi

Whakapupuri i tō tou oro

Ka tangohia, ka tangohia rānei he pūranga oro, ka pāhoatia rānei hei tohutohu. E tautoko ana i ngā MP3, WAV, FLAC, me OGG tae atu ki te 50MB.

Ka tirohia te whakawāteatanga

Ka pā ki te kī, ā, ka tātari te AI i te oro, ā, ka wehe i ia ki ngā rākau takitahi mā te whakamahi i te akoranga hōhonu.

Ka kitea ia rākau

Heoi ki ngā pūoro, ngā pū, ngā pūoro, me ētahi atu pūrere i wehea. He kaipāpāho oro tōna anō ia pū.

Whakahua i ōna rākau

Ka whakataki i ētahi, i ngā rānei o ngā rākau whakawātea. Ka whakamahia rātau mō ngā whakarerekētanga, karaoke, whakanao pūoro, whakamātau rānei.

Ko ngā utu tohu

He mahiKo nga tohu i ia whakamahingaPāpāho
Whakawehe Rāpoi~50/sec4 ngā rākau: ngā pūoro, ngā pū, ngā pū, ētahi atu

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Ka whakaingoatia te pūkete

E whakapāpā ana i tō tātau tono...

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.

He pēhea te whakamahi Instrumental Extractor

1
Kei roto i tō tou tāuru

Type i te kupu, tuku i tētahi faila, whakaahua rānei i te mea e hiahiatia ana e koe. Kāore he tatau e hiahiatia ana.

2
Ka tirohia te whakatūnga

Ka tukatuka tātau AI i tō tātau tono i roto i ngā wā kotahi mā te whakamahi i ngā tauira pūtake tūwhera pai rawa.

3
Whakahua & tiritiri

Whakataki, tārua, tiritiri rānei i tōna hua. Whakatika noa iho mō te whakamahinga whaiaro, hokohoko rānei.

Ka whakamahia tēnei utauta mā te API

Ka whakamātautau tēnei utauta mai i tōtou waehere. Ko te wāhi mutunga o te REST e ōrite ana ki te OpenAI, te mana tohu-tokona, kāore he SDK tāpiri e hiahiatia ana. Ko ngā utu tohu e ōrite ana ki te whakawhitinga whatunga.

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/.

Ka whakaingoatia te wāteatanga mō ngā tohu 10,000

Ka waihanga tētahi pūkete wātea

Kāore he kāri ā-pūtea e hiahiatia ana

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