Free Speech to Text Online
Manova ny resadresaka ho lahatsoratra amin'ny alalan'ny fandikana amin'ny alalan'ny AI. Akaro ireo rakitra feo, raiketo amin'ny alalan'ny mikrôfoninao, na ampidiro URL. Teny mihoatra ny 100, modely mihoatra ny 10, marina mihoatra ny 98%.
1. Akaro ny fandraiketana ny resadresaka
Akaro rakitra feo na lahatsary, ampidiro URL, na raiketo amin'ny alalan'ny microphone-nao ny resadresaka.
2. AI Manova ny Fitenenana ho Soratra
Misafidiana modely AI mihoatra ny 10. Ahitana ny famantarana ny mpiteny sy ny famantarana ny teny hoazy.
3. Atoazy ny dika mitovy
Afaka misintona amin'ny endrika 6. Mizara rohy misy dika mitovy miaraka amin'ny feo.
Modelin'ny fiteny ho lasa lahabolana
Safidio ny modely AI mifanaraka amin'ny filànao — na avelao izahay hisafidy ny tsara indrindra.
Fiteny 100+
Fiteny ho an'ny fampiasana lahatsoratra
Vonona hanova ny resadresaka ho lahabolana ve ianao?
Atomboy ny Free →Fanontaniana matetika
Ny fiteny ho an'ny soratra (antsoina koa hoe fankatoavana ny resaka na ASR) dia manova ny feo voalaza ho teny voasoratra. Ny STT.ai dia mandefa ny fandraketanao amin'ny alalan'ny modely AI izay mihaino ny feo ary mamoaka soratra azo ovaina miaraka amin'ny daty sy ny mari-tsoratra amin'ny mpiteny — tsy mila manoratana.
Ny modely akustika dia mametraka ny onjam-peo ho toy ny feo, avy eo ny modely fiteny dia mametraka azy ireo ho toy ny teny sy ny fanononana mety indrindra. STT.ai manao izany amin'ny GPU miaraka amin'ny modely toy ny Whisper Large V3 sy NVIDIA Canary, ka ny fandraketana ora iray dia matetika vita ao anatin'ny 2-3 minitra.
Eny. Mahazo minitra 600 maimaimpoana isam-bolana ny mpitsidika tsirairay, tsy mila misoratra anarana amin'ny raki-tahiry voalohany. Ny fifanarahana mividy dia manomboka amin'ny $5/volana ary mampiditra raki-tahiry lava kokoa, dikan-teny manokana, ary fanaraha-maso laharam-pahamehana.
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.