Deteksi lan Diarizasi Penyiar

Identifikasi lan label swara ing transkripsi audio lan video kanthi otomatis. ngerti sapa kang ngomong apa.

Nggawe karo audio lan video kang ana ing donya. Kandungan kang dilindhungi DRM ora didhukung.

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Real-time speech to text. AI auto-corrects nalika sampeyan ngomong - akurasi tambah karo basa sing luwih dawa.

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Sampeyan wis nggunakake transkripsi gratis sampeyan

Ing taun 1996, dhèwèké gabung karo grup musik 600 Minutes, lan wiwit main ing acara-acara hiburan.

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Apa tegesé diarsip?

Diarisasi juru basa iku proses partisi stream audio dadi segmen miturut identitas juru basa. Ing tembung sing luwih gampang, iku mangsuli pitakon "siapa ngomong kapan?" This is essential for multi-speaker recordings like meetings, interviews, podcasts, conference calls, and legal proceedings where knowing who said what is just as important as what was said.

STT.ai uses advanced neural speaker diarization models that can detect and label speakers in real time. The system creates speaker embeddings -- numerical representations of each voice's unique characteristics -- and clusters them to distinguish between different people. This works even when speakers have similar voices or frequently interrupt each other.

Carane deteksi juru bicara kerja

1. Deteksi Aktibitas Suara

Ing jaman saiki, ana macem-macem jinis musik, ya iku musik klasik, musik klasik, lan musik modern.

2. Ngambah Speaker

Ing basa Inggris, tembung sing dijupuk saka basa liya bisa dijupuk saka tembung sing asalé saka basa liya.

3. Clustering & Labeling

Ing basa Inggris, tembung iki bisa dijupuk saka tembung-tembung ing basa liya, kaya ta: 1.

Kaca kanggo deteksi juru basa

Transkripsi Rapat
Label saben peserta ing rekaman rapat kanthi otomatis. Janji menit kanthi atribusi kang jelas sapa kang ngomong apa.
Podcast Transkripsi
Ngbedakan antara host lan tamu ing episode podcast. Nggawe notifikasi acara kanthi atribusi juru bicara sing bener.
Transkripsi
Ing babagan iki, dhèwèké uga dadi juru warta, wartawan, lan juru nulis.
Legal & Compliance
Ing basa Inggris, istilah iki bisa digunakaké kanggo nyebut wong, panggonan, utawa barang-barang kang dibutuhaké.

Speaker Detection on STT.ai

Speaker detection is available on all paid plans. When you transcribe audio or video with speaker detection enabled, the transcript will include speaker labels inline with the text. You can also export speaker-labeled transcripts in all supported formats including SRT, VTT, DOCX, JSON, and PDF.

Speaker 1 [00:00:01]: Welcome to the meeting, everyone. Let's start with the quarterly review. Speaker 2 [00:00:05]: Thanks. I have the numbers ready. Revenue is up 23% quarter over quarter. Speaker 1 [00:00:12]: That's great news. Can you walk us through the breakdown?

The system can detect up to 20 distinct speakers in a single recording. For best results, ensure each speaker has at least a few seconds of solo speech. Overlapping speech is handled but may reduce accuracy in heavily cross-talked segments.

Coba deteksi juru bicara saiki

Ing basa Inggris, tembung speaker bisa dijupuk saka tembung speaker.

Miwiti transkripsi gratis

Pitakon kang asring diajukake

speaker detection 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 speaker detection the same as any other workflow. Paid plans starting at $5/month unlock longer files, private transcripts, and priority queueing.

speaker detection 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.

speaker detection 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 speaker detection 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.

speaker detection 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 speaker detection 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 speaker detection 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.