Acapella Maker

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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

He 400+ ngā utauta AI o te Free.ai i tua atu i te tango reo.

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Ko ngā kōwhiringa hōhonu
Whakamutunga
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❤️ E hiahia ana ki te Free.ai? Whakapāpāho ki ōna hoa!

Kaituhi ki kia whiwhi ai i tētahi pātahitanga tohutoro, ā, ka whiwhi i ngā tohu 25,000 ia hoa.

E hiahiatia ana ētahi atu? Ka whakaingoatia te wāteatanga mo ngā tohu 5K / rā + tāpiri 10K
Ka whakaingoatia te pūkete

E whakapāpā ana i tō tātau tono...

Get an acapella from any song. Drop a track, AI separates the vocal stem in seconds. Free, unlimited, no watermark. Demucs MIT.

He pēhea te whakamahi Acapella Maker

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}'

Acapella Maker — FAQ

Drop in any song, AI separates the vocal stem and gives you a clean acapella — vocals only, no music. Powered by Meta's Demucs (MIT license). Free, unlimited, no watermark.

Remixes (vocals over a new beat), mashups (one song's acapella over another's instrumental), karaoke harmony practice, music transcription, lyric study, voice analysis, and AI voice cloning training data.

Identical underlying model — both call /v1/audio/separate/ with `mode=vocals`. Different SEO surface for the different ways people search ("acapella maker" vs "isolate vocals"). Same output WAV.

MP3, WAV, M4A, FLAC, OGG, AIFF — anything ffmpeg can decode. Max 50 MB (~5 min of 128 kbps MP3).

6-15 sec per minute of audio. A 3-minute song completes in 25-40 seconds total including upload + download.

Excellent on dry studio vocals (think pop / R&B). Good on most tracks. Weaker on tracks with heavy reverb tails, hard-panned vocals, or vocals doubled with effects (e.g., autotune harmonies). Demucs is near-perfect but not magic.

Personal use is generally fair-use OK in most jurisdictions. Publishing the acapella, selling it as a sample pack, or releasing the remix commercially requires sync / mechanical / sample licenses. You're responsible for downstream use.

About 3,000 tokens per song, flat per-request. Daily free-pool tokens cover anonymous use; signed-in users get 5K/day.

Yes — /music/stem-splitter/ runs Demucs once and returns BOTH the acapella and the instrumental (plus drums and bass) in a single ZIP. More efficient if you want both stems.

WAV at 44.1 kHz, 16-bit stereo. Use the format dropdown to download as MP3 instead if you need a smaller file.

Same Demucs model, same audio quality. Moises charges a monthly subscription with a track-count quota. Free.ai is pay-with-tokens (or free-pool), unlimited within the daily allowance, no subscription required.

Yes — POST audio to /v1/audio/separate/ with `mode=vocals`, get a job_id back. Poll /v1/audio/jobs/<id>/ for completion + the WAV URL. 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

He pēhea te whakawātea i tēnei utauta?

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