Àkọlé àwòrán

Àwọn Àkọlé àwòrán

Ṣàfikún àwọn àkọlé láti inú àkọlé láti inú àwọn àkọlé AI. Fi àwọn fáìlì ìranlọwọ̀rọ̀ pamọ́, kọ́ọ̀kan láti inú àwọn àmì-ìwé rẹ̀, tàbí pàtó URL. 100+ àwọn ìtàn, 10+ àwọn àwọn àwòrán, 98%+ ìṣàfarawé.

Àwọn iṣẹ́ láti mú àwọn àwòrán àti àwòrán tí a yàn fún gbogbo eniyan. Àwọn àwọn ìròyìn tí a dáwọ́ láti lo DRM kò fọwọ́sì.

Àwọn ìṣàfihàn fún àwọn ìṣàfihàn

Private transcript

Fi àkọlé pamọ́

Ṣí àwọn àwọn àgbéwọlé →

Tí fáìlì náà síbẹ̀ tàbí tẹ̀ láti ṣàfihàn

MP3, WAV, M4A, FLAC, MP4, MKV, MOV, WebM — to 2GB

Fi àwọn fáìlì mìíràn pamọ́ Àwọn àwọn àwọn àwọn àwọn

Àwọn ìṣàfihàn fún àwọn ìṣàfihàn

Private transcript

Fi àkọlé pamọ́

Ṣí àwọn àwọn àgbéwọlé →

Àwọn ìṣàfihàn fún àwọn ìṣàfihàn

Àwọn àkọlé àìpẹ́ láti inú àkọlé. AI kọ̀ọ̀kan-ìṣàmúlò-ètò bí a tí n sọ̀rọ̀ - ìṣàmúlò-ètò náà tí a bá kọ̀ọ̀kan àwọn àkọlé náà.

Àwọn àwọn àmì-ìwé

10 free min/day 600 min ọfẹ pẹlu iforukọsilẹ Kò ní kaadí ẹ̀yàn Àwọn àmì-ìwé

Ṣẹ̀dà nípa ọ̀fẹ̀ →

How speech to text works →

1. Fi Àkọlé Hàn

Fi fáìlì ìsàlẹ̀-ilà àti àwòrán pamọ́, kọ̀ọ̀kan URL, tàbí kọ́ọ̀kan àkọsílẹ̀ ìsàlẹ̀-ilà láti inú míḱríǹ rẹ̀.

2. AI Tí Ǹpa Àkọ́kọ́ Lẹ́ẹ̀kan

Yan lati inú àwọn àwọn àwọn àwọn àwọn àwọn àwọn àwọn àwọn àwọn àwọn àwọn àwọn àwọn àwọn àwọn àwọn àwọn àwọn àwọn àwọn àwọn àwọn àwọn àwọn àwọn àwọn àwọn àwọn àwọn àwọn àwọn àwọn àwọn àwọn àwọn àwọn àwọn àwọn àwọn àwọn àwọn

3. Ṣàfikún Àwọn Àkọ́kọ́ Rẹ́

Ṣàfihàn nínú àwọn ìṣàfarawe-ẹ̀yàn 6. Fi àwọn líǹkì àwọn àkọsílẹ̀ pamọ́ sípapọ̀ pẹlú ìṣàfihàn àwòrán.

Àwọn ìgúnrégé àgbéwọlé àwọn àmì-ìwé tí a fọwọ́sì

MP3 WAV M4A FLAC OGG MP4 MKV MOV WebM AVI

Àwọn àwọn àwòrán

Yan módè́ẹ̀lì AI tí o bá fẹ́ rẹ̀ — tàbí jẹ́ pé a yań ọkan tí o dara jù lọ.

Àwọn Àkọlé

English Spanish French German Japanese Arabic Hindi Portuguese Russian Korean Gbogbo àwọn èdè →

Àwọn Ààyè Ìlò

Àwọn Àwọn Àwọn Àwọn

Àwọn àkọlé àkọlé

Tí o fẹ́ láti yipada àwọn àkọlé sí àkọlé?

Ṣí Ìṣàmúlò-ètò →

Àwọn Àtòjọ-ẹ̀yàn

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.

Yes. Every visitor gets 600 free minutes per month with no signup required for your first file. Paid plans start at $5/month and add longer files, private transcripts, and priority processing.

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.

Àwọn Àkọlé àwòrán

1. Fi Àkọlé Hàn

2. AI Tí Ǹpa Àkọ́kọ́ Lẹ́ẹ̀kan

3. Ṣàfikún Àwọn Àkọ́kọ́ Rẹ́

Àwọn ìgúnrégé àgbéwọlé àwọn àmì-ìwé tí a fọwọ́sì

Àwọn àwọn àwòrán

Àwọn Àkọlé

Àwọn Ààyè Ìlò

Tí o fẹ́ láti yipada àwọn àkọlé sí àkọlé?

Àwọn Àtòjọ-ẹ̀yàn

What is speech to text?

How does speech to text work?

Is STT.ai speech to text free?

How accurate is speech to text?

Can I convert speech to text in real time?

What languages does speech to text support?

Does speech to text identify who is speaking?

What audio and video formats can I convert to text?

Is speech to text the same as voice recognition?

Is my audio private when I use speech to text?

Can developers add speech to text via an API?

Can I edit the text after speech to text?