Transcribe with Moonshine
7.8%
WER
1
Languages
80.0x
Speed
MIT
License
About Moonshine
Languages Supported by Moonshine
Model Info
- ProviderUseful Sensors
- Architecture-
- LicenseMIT
- UpdatedMar 2026
Zvimwe zvinobvunzwa kakawanda
Moonshine imhando yemutauro-ku-mutauro yakagadzirwa ne Useful Sensors. STT.ai inochengeta Moonshine pane yedu GPU infrastructure kuitira kuti iwe ugone kuishandisa pasina kuisa yako hardware. Upload audio kana video uye sarudza Moonshine kubva kumodeli picker.
Real-world kunyatsonzwisisa kunoenderana nemhando yezwi, accent, uye rurimi; For noisy kana accented rekodhi, kutarisira zvishoma zvidimbu zviviri zvemazana yepamusoro WER.
Moonshine inofamba pa STT.ai yemahara tier - chero muenzi anowana 600 maminitsi / mwedzi pasina mutengo. Yakabhadharwa mishandirapamwe inowedzera zvishoma zvishoma zvishoma, zvemukati zvemukati, uye priority queueing.
Moonshine inoburitswa pasi peMIT, iyo yakavhurika-chigadzirwa chigadzirwa chitupa. Iwe unogona kuisa Moonshine pane yako hardware kana kushandisa yedu inochengetwa vhezheni. Imwe neimwe inoshandiswa mukutengesa.
Moonshine inotsigira 1 mazita ezvinyorwa. Kuwana otomatiki kunosarudza zvirinani zita rezvinyorwa zvemavhidhiyo; unogonawo kuisarudza nemunhu kuti uwane kunyatsoita kwakanaka.
Moonshine inogadzirisa audio pazvinosvika 80.0x real-time pane edu GPUs. 1-hour audio file inosvika pasi pe 1 maminitsi; zvinopfuura zvinyorwa zvinomirira uye zvinozivisa neemail kana zvaitwa.
Moonshine ine 61M parameters. Larger models tend to be more accurate but slower; STT.ai hosts Moonshine on GPU so the parameter count doesn't affect your client-side performance.
Moonshine inogamuchira ese mafomati STT.ai anotsigira - MP3, WAV, M4A, FLAC, OGG, MP4, MKV, MOV, WebM, AVI, uye vamwe.Kuburitsa se TXT, SRT, VTT, DOCX, JSON, kana PDF.
Yega. Mutauro diarization inofamba pamwe Moonshine yese transcription — mumwe mutauro iri rakanyorwa uye unogona kuchinja zita ravo mu editor mushure.
Yeah. Moonshine runs in our managed environment — audio is processed and deleted by default and never used for training without explicit opt-in. Pro plans add client-side encryption for transcripts at rest.
Usati washandisa Moonshine, shandisawo Moonshine vs Whisper Large V3 kuongorora kuti uone kuti Moonshine inoenderana nemhando ipi neipi yefoni. Unogona kuona WER, segment count, speaker labels, uye confidence scores side-by-side. Moonshine vs Whisper Large V3 kuongorora ndiyo inonyanya kushandiswa.
Yeah. Chidza "moonshine" separameter yemufananidzo pa /v1/transcribe endpoint. Python uye Node.js SDKs dzinosanganisira Moonshine mifananidzo. Yemahara API tier inosanganisira 100 maminitsi / mwedzi.
Yeah. Nekudaro, nekuti Moonshine ine MIT-lisensi, unogona kuichengeta iwe pachako. STT.ai's open-source peji rinonyora repo uye zviyero zveprojekiti. Zvikwata zvakawanda zvekugadzira zvinoshandisa yedu inochengetwa vhezheni kuti urege kubhadharisa GPU, kuchinja mamodheru, uye ops.