Textus apud situm online
Translatio inter linguam et textum, translatio a AI potenti. Archiva audio incipit, a microphono inscriptum, vel URL incolat. 100+ linguae, 10+ modelibus, 98%+ accurate.
1. Upload speech recording
Inscriptio est scriptum vel scriptum scriptum, quod inscriptum est in scriptum vel scriptum.
2. AI conversit locum ad textum
Inter 10+ modelibus AI electus. Locutor detectionis et linguae autodetectionis inclusa.
3. Exportus transscriptio
In 6 formatibus downloadare potest.
Textus apud Textus
Choose the AI model that fits your needs — or let us pick the best one.
Textus in plus quam 100 linguis
Pronto converti linguam in textum?
Liber Liber →Frequentes interrogationes
Speech to text (also called speech recognition or ASR) converts spoken audio into written words automatically. STT.ai runs your recording through an AI model that listens to the audio and outputs editable text with timestamps and speaker labels — no typing required.
An acoustic model maps the sound waveform to phonemes, then a language model assembles those into the most likely words and punctuation. STT.ai does this on GPU with models like Whisper Large V3 and NVIDIA Canary, so a one-hour recording is usually done in 2-3 minutes.
Quamquam nonnullae res in libro sunt, quae non in libro sunt, sed in libro sunt, quae in libro non sunt, et quae in libro sunt, sed in libro non sunt, et quae in libro non sunt, et quae in libro non sunt, et quae in libro non sunt, et quae in libro non sunt, et quae in libro non sunt.
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.