Deteccion e diarisacion dels orators

Identificar e etiquetar automaticament los diferents orators dins vòstras transcripcions àudio e vidèo. Saber exactament qui a dich çò que cal.

Funciona amb de fichièrs àudio e vidèo publics. Lo contengut protegit per DRM es pas suportat.

@ info: status
Private transcript
Discutir amb transcripcion
Desverrollar amb Pro →
@ info: status
MP3, WAV, M4A, FLAC, MP4, MKV, MOV, WebM - fins a 2 Go
@ info: status
Private transcript
Discutir amb transcripcion
Desverrollar amb Pro →
@ info: status
Enregistrament: 0:00
Temps real Cira (imediata)
Enriquit Whisper (precis)
Public links: 24h, text only · Enregistrar for 7d + audio · Pro for private links

Transformar la votz en tèxt en temps real. L'IA se corrigís automaticament mentre que parlatz - la precision melhora amb la durada de la votz.

Testatz lo vòstre microfòn en primièr
❤️ Ador STT.ai ? Ditz-lo als vòstres amics !
Avètz utilizat vòstras transcripcions liuras

Inscriu-te per recebre 600 minutas/mes, o per obtenir de transcripcions illimitadas.

10 minutas liuras/ jorn 600 min gratuit amb inscripcion Pas cap de carta de credit EncriptatComment
Inscriure' s →

Qu'es lo diarisme del locutor?

@ info: shell 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.

Comment=Coma fonciona la deteccion de locutors

Deteccion de l'activitat vocala

Lo sistèma identifica d'en primièr quins segments d'audio contenon de parlar contra lo silenci, la musica o lo bruit de fons.

2. Encapsulament de l' orator

Cada segment de discors es convertit en un encastrament de locutor -- un vector compacte que captura las caracteristicas vocalas unicas del locutor.

3. Clustering & Labeling

Los encastraments son gropats per regroupar los segments del meteis orator, puèi cada grop es atribuit una etiqueta (Orator 1, Orator 2, etc.).

@ title: window

@ info: status
@ info: status
Podcast
Distinguir entre òste e convidats dins los episòdis de podcast. Crear de nòtas de difusion amb l'atribucion apropriada del locutor.
Transcricion
Separatz las respostas de l'entrevistaire e de l'entrevistat per la recèrca, lo jornalisme e la documentacion d'emplec.
Legal e conformitat
Crear d'enregistraments oficials de deposicions, audiéncias e apelacions de conformitat amb una identificacion clara del locutor.

Deteccion de l'encenut sus 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.

Ensajar la deteccion del locutor ara

Telecargar un enregistrament multi-encronizador e veire los encronizadors etiquetats automaticament.

@ info: status

Questions frequentas

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.