Thai Speech to Text
Convert Thai (ไทย) audio to text with AI. Fast, accurate, open models.
Best Models for Thai
| Model | Provider | WER | Speed | |
|---|---|---|---|---|
| STT.ai Enhanced Best | OpenAI (hosted by STT.ai) | 4.2% | Paid tier | |
| Whisper Large V3 | OpenAI | 4.2% | Paid tier | |
| Whisper Turbo | OpenAI | 5.1% | Try it |
About Thai Transcription
Thai is a tonal language with no spaces between words. STT.ai handles Thai word segmentation and tonal distinctions for accurate transcription.
STT.ai provides state-of-the-art Thai speech recognition powered by multiple AI models. Whether you need to transcribe interviews, lectures, podcasts, or meetings in Thai, our platform automatically detects the language and selects the optimal model for the best accuracy.
How Accurate is Thai Transcription?
Accuracy for Thai transcription depends on audio quality, speaker clarity, background noise, and the model you choose. On clean audio with a single speaker, our best models achieve a Word Error Rate (WER) under 6% for Thai -- approaching human-level accuracy.
For the best results with Thai audio, we recommend:
- Clear audio -- minimize background noise and use a good microphone
- Single speaker segments -- enable speaker diarization for multi-speaker recordings
- Choose the right model -- Whisper Large V3 is the most accurate and has the broadest language coverage; Whisper Turbo trades a little accuracy for speed
- Specify the language -- while auto-detect works well, manually selecting Thai can improve accuracy slightly
Export Formats for Thai Transcripts
After transcribing your Thai audio, download the result in any of these formats:
TXT
Plain text transcript
SRT
Subtitles with timestamps
VTT
Web video captions
DOCX
Word document
JSON
Structured data with timestamps
PDF
Print-ready document
Frequently Asked Questions
Upload an audio or video file containing Thai (ไทย) to STT.ai or paste a URL. Select a model that supports Thai — for best results pick the one with the lowest WER on the table above — and click Transcribe.
Yes. STT.ai gives every visitor 600 free minutes to start, which includes Thai (61 million speakers worldwide). No signup required for your first file. Paid plans starting at $5/month unlock longer files and private transcripts.
Thai accuracy on clean audio reaches 88-93% with our best models. Tonal nuance is preserved when the source audio has clear tone; lossy compression below 96 kbps can reduce tonal accuracy.
The table above ranks the models by WER (lower is better). For Thai, Whisper Large V3 has the broadest coverage and the best accuracy; Whisper Turbo trades a little accuracy for speed. STT.ai Enhanced is Whisper Large V3 on our GPU, included with paid plans.
Yes. Thai output includes punctuation (periods, commas, question marks) and proper casing. Numbers and titles follow Thai conventions. The transcript editor lets you tweak punctuation manually.
Yes. Speaker diarization is language-agnostic and works on Thai the same way it does on English. Each speaker is labeled (Speaker 1, Speaker 2, ...) and you can rename them in the editor after transcription.
Most Thai files are transcribed in under 5 minutes. A 1-hour Thai audio file typically takes 2-3 minutes with our fastest models, and slightly longer with the highest-accuracy models.
Thai files in MP3, WAV, M4A, FLAC, OGG, MP4, MKV, MOV, WebM, AVI, and 10+ other formats all work. Output to TXT, SRT, VTT, DOCX, JSON, and PDF — all with Thai text intact.
Yes. Thai audio files are processed and deleted by default. Pro plans add client-side encryption — even if our database is breached, your transcripts are unreadable without your key. Thai data is never used for model training without explicit opt-in.
Yes. Export the transcript as SRT or VTT — both work with YouTube, Vimeo, TikTok, and all major video platforms. Burn-subtitles tool overlays them onto video as hardsubs.
Yes. After transcribing Thai, the subtitle-translator tool can translate the SRT/VTT to any of 100+ target languages. Useful if your Thai content needs subtitles for a wider audience.
Yes. The REST API supports Thai via the language parameter (auto-detect is also available). Python and Node.js SDKs let you batch-transcribe Thai audio with full timestamps and speaker labels.
For Thai, the biggest accuracy variables are background noise, overlapping speakers, and accent strength. Use a good microphone, separate speakers when possible, and pick a model trained on the relevant dialect.