Textus apud Internet Archive
Audio in textum transcribitur. Audios incipit, microphonum inscriptum est, vel URL incolatur. Plus quam 100 linguae, 10+ modelibus, 98%+ exactitas.
Audio
Formata audiorum sunt MP3, WAV, M4A, FLAC, OGG, et alia.
2. Descriptio processus
Interdum in linguam translatio significat, ut locutor in linguam translatatam et in linguam translatatam translatio.
3. Descriptio
Videre, editare, deducere, aut divisae. Exportare ut TXT, SRT, VTT, DOCX, vel PDF.
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 audio in textum?
Liber Liber →Frequentes interrogationes
Upload your audio file or paste a URL, pick an AI model, and click Transcribe. STT.ai returns editable text with timestamps and speaker labels — most files finish in under five minutes.
MP3, WAV, M4A, FLAC, OGG, AAC, AMR, and 10+ more are all supported. You don't need to convert between formats first — upload whatever your recorder or app produces.
A little. Lossless formats like WAV and FLAC carry bit-perfect audio, so accuracy is bounded only by the model and speaker clarity. Lossy formats (MP3, M4A) at 128 kbps or higher are effectively identical; very low bitrates under 64 kbps can cost a few points.
Yes. STT.ai includes 600 free minutes per month with no signup for your first file. Paid plans starting at $5/month add longer files, private transcripts, and priority processing.
On clean audio our best models reach 95-97% accuracy (3-5% Word Error Rate). Background noise, overlapping speakers, and strong accents are the main factors that lower accuracy.
Yes. Free users can transcribe up to one hour per file; paid plans extend that to 8+ hours, which covers full-length podcasts, interviews, and audiobooks in a single pass.
Yes. Speaker diarization labels each voice (Speaker 1, Speaker 2, ...) and you can rename them in the editor — works on every supported audio format and model.
Export to TXT, DOCX, PDF, JSON, or SRT/VTT subtitles. JSON keeps machine-readable timestamps and speaker labels; DOCX and PDF are best for sharing and archiving.
Yes. 100+ languages with auto-detection, plus the option to set the language manually. Mixed-language audio is handled by switching mid-file, and you can translate the result afterwards.
Yes. Audio is processed and deleted by default, and Pro plans add client-side encryption so transcripts are unreadable without your key. Nothing is used for training without explicit opt-in.
Yes. Paste a link from any of 1,300+ supported platforms — podcast hosts, SoundCloud, YouTube, and more — and STT.ai fetches the audio directly. DRM-protected sources can't be transcribed.
Yes. The REST API accepts audio files directly, with Python and Node.js SDKs and a free tier of 100 minutes/month. Per-second billing applies beyond the free tier.