Free Speech kanggo Teks Online
Konversi swara dadi teks nganggo transkripsi kang didhukung AI. Unggah file audio, rekaman saka mikrofonmu, utawa tempel URL. 100+ basa, 10+ model, 98%+ akurasi.
1. Upload Rekaman Paros
Ngunduh file audio utawa video, nyelehake URL, utawa nyetak swara saka mikrofonmu.
2. AI Ngganti Basa kanggo Teks
Pilih saka 10+ model AI. Deteksi juru basa lan deteksi otomatis basa kalebu.
3. Eksport Transkripmu
Download ing6format. Share transcript link karo audio playback.
Model basa kanggo teks
Nanging, ana uga sing milih kanggo milih sing paling apik.
Speech to Text ing 100+ basa
Siap kanggo ngowahi swara dadi teks?
Diwiwiti Bebas →Pitakon kang asring diajukake
Speech to text (utawa ASR) ngrekam swara kang diucapaké dadi tembung kang ditulis kanthi otomatis. STT.ai ngrekam swara liwat model AI kang ngrungokake swara lan ngekspor teks sing bisa diedit kanthi timestamp lan label juru basa — ora perlu ngetik.
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.
Ya. Saben pengunjung nampa 600 menit gratis saben wulan tanpa kudu ndhaptar kanggo file pisanan. Rencana sing dibayar wiwit $5/bulan lan nambah file sing luwih dawa, transkripsi pribadi, lan pamrosesan prioritas.
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.