Ses çykaryjyny tap

Özüni-özü tana we öz audio we wideo transkripsiýalaryňda dürli sözleýjileri etiketle. Kimiň näme aýdanyny dogry bil.

Halka elýeterli ses we wideo bilen işleýär. DRM-goragly mazmun goldamaýar.

Enhanced üçin Güncelle
Private transcript
Transkript bilen gürleş
Pro bilen kiçirdi →
Faýly şu ýere goý ýa-da agtarmak üçin bas
MP3, WAV, M4A, FLAC, MP4, MKV, MOV, WebM — 2GB çenli
Enhanced üçin Güncelle
Private transcript
Transkript bilen gürleş
Pro bilen kiçirdi →
Enhanced üçin Güncelle
_Gönder 0:00
Hakyky wagt Waş (agyr)
Bejer Ýokarky
Halka açylýan baglanyşyk: 24sagat, diňe metinde · _Gün tertibi 7d + ses üçin · Pro hususy baglanyşyk üçin

Raýat wagtynda sözden metine. AI siz gürleýänçä otomatik düzedýär - dogrylyk uzak gürlemeliçe artýar.

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600 minut/aýda almak üçin mugt ýaz, ýa-da çäksiz transkripsiýalar üçin täzele.

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Sesçi Diaryzasiýasy näme?

Sesçi diaryzasiýa ses akymyny sesçi kimligine görä böleklere bölmek prosesidir. Basit sözler bilen, ol "Kim näçede gürledi?" soragyna jogap berýär. 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.

Sesçi tapmak nädip işleýär

Ses hereketini tap

Sistem ilki sesiň haýsy segmentleri sesli we sessiz, müzik ýa arkaplan gürlemini içerdigini kesgitler.

2. Goçmak

Her bir söz bölümi bir sözleýjiniň äpişgesine öwrülýär -- sözleýjiniň özboluşly ses häsiýetlerini alýan bir gysga vektor.

3. Topluşdyrmak we Etiketlemek

Embeddings grouped to group segments from the same speaker together, then each cluster is assigned a label (Speaker 1, Speaker 2, etc.)

Ses çykaryjyny tapmak üçin ullan

Duşuşyk transkripti
Oýun ýazgylarynda her bir gatnaşyjyny otomatik tagla. Kimiň näme aýdanyny aýan eden protokoly emele getir.
Podcast transkripsiýasy
Podkast bölümlerinde myhman we myhmany tapawutla. Saýlanan sözleýji bilen görkezme ýazgylary döred.
Interwiýu
Araştırma, žurnalistika we işe almak üçin söhbetdeş we söhbetdeşlik jogaplaryny tapawutlaň.
Hukuk we Konformite
Depositions, hearing, and compliance calls with clear speaker identification resmi ýazgylary dörediň.

STT.ai-de sözleýji tapmak

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.

Indi sözleýji tapmak üçin synal

Birnäçe sözleýji ýazgylary ýükle we sözleýjileri awtomatiki taglanylan gör.

_Gözleg

Gynançly Soraglar

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.