Ka whakarerekētia te whakahuatuhi

Ka tahuri i waenganui i ngā āhua o te SRT, VTT, SSA/ASS, SBV, TXT, me ngā āhua o te whakarārangi JSON. 100% te taha o te kaiuru -- kāore pea e mahue i ōna faila i tōna kiritaki.

Ka tangohia koe i tēnei wāhi, ka tirohia rānei i tēnei wāhi

SRT, VTT, ASS, SSA, SBV, TXT, JSON

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Mo ngā hanga tuhituhi

SRT (SubRip)

Ko te hanga tuhituhi tino whānui. He ōrite ki ngā pūpāho pāpāho katoa me ngā pūwāhi ataata. Ka whakamahia ngā milliseconds whakawātea-ki te kōaro (HH:MM:SS,mmm).

VTT (WebVTT)

He hanga hei whakaatu i te kōrero o te Video Wīwī. I hangaia mō te kōrero HTML5, ā, e tautokona ana e ngā whakahura o nāianei. Ka whakamahia ngā milliseconds whakawātea (HH:MM:SS.mmm).

ASS / SSA (SubStation Alpha)

E tautoko ana i te kāhua matatini, te tauwāhi, ngā pānga karaoke, me te tātai matatini. E mōhiotia ana i roto i ngā pūāhua pūāhua anime me ngā hua o te whakarārangi matatini.

SBV (YouTube SubViewer)

Ko te hanga SubViewer e whakamahia ana e YouTube. He hanga wā māmā e pai ana mō ngā tāurunga papatono ataata me ngā whakahuatuhi taketake.

He pēhea te tahuri i ngā tuhipoka

1
Whakaata, whakataki rānei

Ka whakawātea i tōna rauemi, ka whakawātea rānei i ōna ihirangi ki roto i te kaiwhakawhanake.

2
Hiko te hanga huaputa

Kua kitea ā-māoritia te āhua tāuru. Hiko atu ki te āhua tāuru e hiahiatia ana mai i te papatūtū.

3
Ka whakarerekētia te whakahua

Ka pāhotia te tāpare ki te kite i te tirohanga, kātahi ka tāpiritia te pūkete, ka tārua rānei ki te papatuhi.

❤️ Pērā ki te STT.ai? E kī mai i ōna hoa!

E pā ana ngā pātai

subtitle conversion runs in your browser: paste a URL, upload a file, or record from your mic. STT.ai picks the AI model and returns the transcript in under 5 minutes. Export as TXT, SRT, VTT, DOCX, JSON, or PDF.

Yes — every visitor gets 600 free minutes/month on STT.ai, usable for subtitle conversion the same as any other workflow. Paid plans starting at $5/month unlock longer files, private transcripts, and priority queueing.

subtitle conversion runs on the same AI models as the rest of STT.ai — our best models reach 95-97% accuracy on clean speech (3-5% Word Error Rate on benchmarks). Switch models on the fly if the first pass is below your target.

subtitle conversion can run on any of STT.ai's 10+ models — STT.ai Enhanced (most accurate), Whisper Large V3 (99 languages), NVIDIA Canary (#1 WER on supported langs), Whisper Turbo (fast), Moonshine (lightweight), and more.

Yes. Every transcript exports as SRT or VTT — works with YouTube, Vimeo, TikTok, VLC, and every major video player. The burn-subtitles tool overlays them onto video as hardsubs.

Yes. Speaker diarization automatically labels each voice (Speaker 1, Speaker 2, ...) and you can rename them in the built-in editor. Works across all models and languages.

Most subtitle conversion jobs finish in under 5 minutes. A 1-hour audio file typically completes in 2-3 minutes with our fastest models. Speed depends on chosen model and current GPU load.

subtitle conversion accepts 20+ formats — MP3, WAV, M4A, FLAC, OGG, MP4, MKV, MOV, WebM, AVI, and more. Output to TXT, SRT, VTT, DOCX, JSON, or PDF.

Yes. Audio files submitted to subtitle conversion are processed and deleted by default. Pro plans add client-side encryption — even if STT.ai's database is breached, your transcripts are unreadable without your key. Data is never used for model training without explicit opt-in.

Yes. STT.ai offers a REST API with Python and Node.js SDKs, plus an MCP server for Claude and Cursor — all usable for subtitle conversion workflows. Free API tier includes 100 minutes/month.

Yes. Every transcript opens in the built-in editor where you can correct words, rename speakers, adjust timestamps, and add notes. All changes save automatically.

Every transcript gets a unique shareable URL. Export to DOCX or PDF for email. Pro plans add password-protected and permanent links — useful for client work.

STT.ai handles 1,300+ platforms including YouTube, Vimeo, TikTok, SoundCloud, Zoom, Google Meet, podcast hosts, and more. URL transcription works with publicly-available content only — DRM-protected sources can't be transcribed.