Detección e diarisación do orador

Identifique e etiquete automaticamente diferentes oradores nas súas transcricións de son e vídeo. Saiba exactamente quen dixo que.

Funciona con son e vídeo dispoñíbeis publicamente. Non se admiten contidos protexidos con DRM.

Actualización para mellorado
Private transcript
Conversa con transcrición
Desbloquear con Pro →
Solte aquí o ficheiro ou prema para examinar
MP3, WAV, M4A, FLAC, MP4, MKV, MOV, WebM — ata 2 GB
Actualización para mellorado
Private transcript
Conversa con transcrición
Desbloquear con Pro →
Actualización para mellorado
Gravación: 0:00
En tempo real Cera (instantánea)
Mellorado Sussurrar (preciso)
Ligazóns públicas: 24h, só texto · Inscríbete para 7d + audio · Pro para ligazóns privadas

Fala a texto en tempo real. A IA corrixe automaticamente mentres fala — a precisión mellora coa duración da fala.

Probe primeiro o micrófono
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¿Qué es la diarización del hablante?

A diarización do falante é o proceso de dividir unha secuencia de son en segmentos segundo a identidade do falante. En termos máis simples, responde á pregunta « quen falou cando? » 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.

Como funciona a detección de oradores

1. Detección da actividade da voz

O sistema identifica primeiro que segmentos de son conteñen fala versus silencio, música ou ruído de fondo.

2. Inserción de altofalante

Cada segmento de fala convértese nunha incrustación de falante -- un vector compacto que captura as características vocais únicas do falante.

3. Agrupamento e etiquetaxe

As incorporacións agrúpanse para agrupar segmentos do mesmo altofalante, entón a cada grupo asignáselle unha etiqueta (Altofalante 1, Altofalante 2, etc.).

Casos de uso para a detección de oradores

Transcrición da reunión
Etiquetar automaticamente a cada participante nas gravacións de reunións. Xerar actas con atribución clara de quen dixo que.
Transcrición de podcasts
Distingue entre anfitrión e convidados nos episodios de podcast. Crea notas de emisión con atribución axeitada do orador.
Entrevista
Separe as respostas do entrevistador e do entrevistado para a investigación, o xornalismo e a documentación de contratación.
Legal e cumprimento
Crea rexistros oficiais de deposicións, audiencias e chamadas de cumprimento con identificación clara do orador.

Detección de altofalantes en 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.

Probar agora a detección do altofalante

Envíe unha gravación con varios altofalantes e vexa os altofalantes etiquetados automaticamente.

Comezar a transcrición libre

Preguntas frecuentes

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.