Free Speech to Text Online
Ngarobah pangucap ka teks kalawan transkripsi AI-powered. Unggah file audio, record ti mikrofon anjeun, atawa meletakan URL. 100+ basa, 10+ model, 98% + akurasi.
1. Unggah Rekaman Basa
Ngaupload file audio atawa video, asupkeun URL, atawa rekam pangucapan tina mikrofon anjeun.
2. AI Ngganti Basa kanggo Teks
Pilih saka 10+ model AI. Penemuan juru bicara lan auto-deteksi basa kalebu.
3. Eksport Transkrip Sampeyan
Muter ing 6-format. Share link transcript karo audio playback.
Model swara dadi teks
Pilih model AI anu cocog sareng kabutuhan anjeun - atanapi hayu urang milih anu pangsaéna.
Speech to Text ing 100+ basa
Siap kanggo ngarobah swara dadi teks?
Mulai Bebas →Takon-takon sing asring diajukake
Speech to text (disebat ogé pangidentipikasi basa atawa ASR) ngarobah audio anu diucapkeun jadi kecap anu ditulis sacara otomatis. STT.ai ngajalankeun rékaman anjeun ngaliwatan model AI anu ngadangukeun audio sareng ngahasilkeun teks anu tiasa disunting kalayan tanda waktu sareng label panyatur — teu peryogi ngetik.
Model akustik ngagambarkeun gelombang sora kana fonem, teras model basa ngahijikeunana kana kecap anu paling mungkin sareng tanda baca. STT.ai ngalakukeun ieu dina GPU kalayan model sapertos Whisper Large V3 sareng NVIDIA Canary, janten rékaman sajam biasana dilakukeun dina 2-3 menit.
Ya. Satiap pengunjung meunang 600 menit bébas per bulan tanpa kudu ngadaptarkeun file munggaran anjeun. Rencana dibayar mimiti $ 5 / bulan sareng tambahkeun file anu langkung lami, transkripsi pribadi, sareng pamrosésan 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.