Turkish Speech to Text
Convert Turkish (Türkçe) audio to text with AI. Fast, accurate, open models.
Best Models for Turkish
| 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 Turkish Transcription
Turkish is an agglutinative language with complex morphology. STT.ai accurately handles Turkish word formations and vowel harmony in transcription.
STT.ai provides state-of-the-art Turkish speech recognition powered by multiple AI models. Whether you need to transcribe interviews, lectures, podcasts, or meetings in Turkish, our platform automatically detects the language and selects the optimal model for the best accuracy.
How Accurate is Turkish Transcription?
Accuracy for Turkish 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 Turkish -- approaching human-level accuracy.
For the best results with Turkish 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 Turkish can improve accuracy slightly
Export Formats for Turkish Transcripts
After transcribing your Turkish 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 Turkish (Türkçe) to STT.ai or paste a URL. Select a model that supports Turkish — 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 Turkish (88 million speakers worldwide). No signup required for your first file. Paid plans starting at $5/month unlock longer files and private transcripts.
Turkish accuracy on clean audio reaches 93-96% with our best models. Numbers, proper nouns, and inflected forms are all handled. Clear audio with minimal background noise produces the best results.
The table above ranks the models by WER (lower is better). For Turkish, 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. Turkish output includes punctuation (periods, commas, question marks) and proper casing. Numbers and titles follow Turkish conventions. The transcript editor lets you tweak punctuation manually.
Yes. Speaker diarization is language-agnostic and works on Turkish 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 Turkish files are transcribed in under 5 minutes. A 1-hour Turkish audio file typically takes 2-3 minutes with our fastest models, and slightly longer with the highest-accuracy models.
Turkish 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 Turkish text intact.
Yes. Turkish 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. Turkish 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 Turkish, the subtitle-translator tool can translate the SRT/VTT to any of 100+ target languages. Useful if your Turkish content needs subtitles for a wider audience.
Yes. The REST API supports Turkish via the language parameter (auto-detect is also available). Python and Node.js SDKs let you batch-transcribe Turkish audio with full timestamps and speaker labels.
For Turkish, 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.