Arabic Speech to Text
Convert Arabic (العربية) audio to text with AI. Fast, accurate, open models.
Best Models for Arabic
| 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 Arabic Transcription
Arabic has many regional dialects alongside Modern Standard Arabic. STT.ai supports MSA and major dialectal varieties including Egyptian, Gulf, and Levantine Arabic.
STT.ai provides state-of-the-art Arabic speech recognition powered by multiple AI models. Whether you need to transcribe interviews, lectures, podcasts, or meetings in Arabic, our platform automatically detects the language and selects the optimal model for the best accuracy.
How Accurate is Arabic Transcription?
Accuracy for Arabic 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 Arabic -- approaching human-level accuracy.
For the best results with Arabic 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 Arabic can improve accuracy slightly
Export Formats for Arabic Transcripts
After transcribing your Arabic 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 Arabic (العربية) to STT.ai or paste a URL. Select a model that supports Arabic — 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 Arabic (372 million speakers worldwide). No signup required for your first file. Paid plans starting at $5/month unlock longer files and private transcripts.
Arabic accuracy on clean audio reaches 90-94% with our best models. Right-to-left text direction is preserved in every export format (TXT, SRT, VTT, DOCX, PDF). Diacritics are included when the model supports them.
The table above ranks the models by WER (lower is better). For Arabic, 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. Arabic (العربية) is emitted right-to-left in every export and renders correctly in subtitle players, Word, PDF readers, and the in-app editor. Numbers and Latin proper nouns are bidirectionally handled.
Yes. Speaker diarization is language-agnostic and works on Arabic 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 Arabic files are transcribed in under 5 minutes. A 1-hour Arabic audio file typically takes 2-3 minutes with our fastest models, and slightly longer with the highest-accuracy models.
Arabic 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 Arabic text intact.
Yes. Arabic 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. Arabic data is never used for model training without explicit opt-in.
Yes. Arabic SRT and VTT subtitles are exported with right-to-left direction markers so they render correctly in YouTube, Vimeo, VLC, and all major players.
Yes. After transcribing Arabic, the subtitle-translator tool can translate the SRT/VTT to any of 100+ target languages. Useful if your Arabic content needs subtitles for a wider audience.
Yes. The REST API supports Arabic via the language parameter (auto-detect is also available). Python and Node.js SDKs let you batch-transcribe Arabic audio with full timestamps and speaker labels.
For Arabic, dialectal variation is the main accuracy variable — Modern Standard varieties transcribe more accurately than colloquial regional speech. Specifying the dialect in the language parameter helps.