Free speech to text online
Pretvorite govor u tekst sa transkripcijom koja koristi AI. Prenesite audio datoteke, snimite sa svog mikrofona ili zalijepite URL. 100+ jezika, 10+ modela, 98%+ preciznosti.
1. Upload Snimanje govora
Učitaj audio ili video datoteku, zalijepi URL, ili snimi govor sa svog mikrofona.
2. AI pretvara govor u tekst
Izaberite iz 10+ AI modela.
Izvozi svoj transkript
Preuzmite u 6 formata. Podijelite linkove sa audio reprodukcijom.
Modeli govora u tekst
Odaberite model UI koji odgovara vašim potrebama - ili dopustite da mi izaberemo najbolji.
Pretvori govor u tekst na preko 100 jezika
Slučajevi upotrebe govora u tekst
Spreman za pretvorbu govora u tekst?
Počni slobodno →Često postavljana pitanja
Govor u tekst (također poznat kao prepoznavanje govora ili ASR) pretvara izgovoreni zvuk u pisane riječi automatski. STT.ai pokreće vašu snimku kroz AI model koji sluša zvuk i izlazi tekst koji se može uređivati sa vremenskim žigovima i oznakama govornika - nije potrebno tipkanje.
Akustički model preslikava zvučni talasni oblik na foneme, a zatim jezički model sastavlja te u najvjerovatnije riječi i interpunkciju. STT.ai to radi na GPU-u sa modelima kao što su Whisper Large V3 i NVIDIA Canary, tako da je jednosatno snimanje obično završeno za 2-3 minute.
Svaki posjetilac dobija 600 besplatnih minuta mjesečno bez registracije za prvi dosje. Plaćeni planovi počinju od 5 dolara mjesečno i dodaju duge dosjee, privatne transkripte i prioritetnu obradu.
On clean speech our best models reach 95-97% accuracy (a 3-5% Word Error Rate on benchmarks). Accuracy drops with background noise, heavy accents, crosstalk, or low-bitrate audio — using a decent microphone and a quiet room makes the biggest difference.
Yes. Speak into your microphone and STT.ai streams the transcript live via the live-transcription tool. You can also upload a finished recording for batch transcription if you don't need it word-by-word as you talk.
STT.ai recognizes 100+ languages and auto-detects the spoken language for most audio. You can also set the language manually for a small accuracy lift, and mixed-language recordings are handled by switching mid-clip.
Yes. Speaker diarization labels each voice (Speaker 1, Speaker 2, ...) and you can rename them in the editor. This works across every supported model and language.
STT.ai accepts 20+ formats including MP3, WAV, M4A, FLAC, OGG, MP4, MKV, MOV, WebM, and AVI. Output to TXT, SRT, VTT, DOCX, JSON, or PDF.
Speech to text transcribes WHAT was said into words; voice recognition (speaker identification) determines WHO said it. STT.ai does both — transcription plus speaker diarization — but the terms describe different tasks.
Yes. Audio is processed and deleted by default. Pro plans add client-side encryption so transcripts are unreadable without your key, even to STT.ai, and your data is never used for model training without explicit opt-in.
Yes. STT.ai has a REST API with Python and Node.js SDKs plus an MCP server for Claude and Cursor. The free API tier includes 100 minutes/month, with per-second billing beyond that.
Yes. Every transcript opens in a built-in editor where you can fix misheard words, rename speakers, adjust timestamps, and add notes. Edits persist across every export format.