Hebrew Speech to Text
Convert Hebrew (עברית) audio to text with AI. Fast, accurate, 10+ models.
Best Models for Hebrew
| Model | Provider | WER | Speed | |
|---|---|---|---|---|
| STT.ai Enhanced Best | STT.ai | 3.2% | Try it | |
| Whisper Large V3 | OpenAI | 4.2% | Try it | |
| Whisper Turbo | OpenAI | 5.1% | Try it | |
| SenseVoice | FunAudioLLM | 5.5% | Try it | |
| Distil-Whisper | Hugging Face | 5.8% | Try it |
About Hebrew Transcription
Hebrew speech recognition with right-to-left script output. Handles modern Israeli Hebrew pronunciation and vocabulary.
STT.ai provides state-of-the-art Hebrew speech recognition powered by multiple AI models. Whether you need to transcribe interviews, lectures, podcasts, or meetings in Hebrew, our platform automatically detects the language and selects the optimal model for the best accuracy.
How Accurate is Hebrew Transcription?
Accuracy for Hebrew 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 Hebrew -- approaching human-level accuracy.
For the best results with Hebrew 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 -- NVIDIA Canary offers the lowest WER for supported languages, while Whisper Large V3 provides the broadest language coverage
- Specify the language -- while auto-detect works well, manually selecting Hebrew can improve accuracy slightly
Export Formats for Hebrew Transcripts
After transcribing your Hebrew 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 Hebrew (עברית) to STT.ai or paste a URL. Select a model that supports Hebrew — 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/month, which includes Hebrew (9 million speakers worldwide). No signup required for your first file. Paid plans starting at $5/month unlock longer files and private transcripts.
Hebrew 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 supported models for Hebrew by WER (lower is better). Whisper Large V3 has the broadest Hebrew coverage; NVIDIA Canary has the lowest WER on supported Hebrew variants; STT.ai Enhanced unifies both for paid plans.
Yes. Hebrew (עברית) 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 Hebrew 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 Hebrew files are transcribed in under 5 minutes. A 1-hour Hebrew audio file typically takes 2-3 minutes with our fastest models, and slightly longer with the highest-accuracy models.
Hebrew 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 Hebrew text intact.
Yes. Hebrew 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. Hebrew data is never used for model training without explicit opt-in.
Yes. Hebrew 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 Hebrew, the subtitle-translator tool can translate the SRT/VTT to any of 100+ target languages. Useful if your Hebrew content needs subtitles for a wider audience.
Yes. The REST API supports Hebrew via the language parameter (auto-detect is also available). Python and Node.js SDKs let you batch-transcribe Hebrew audio with full timestamps and speaker labels.
For Hebrew, 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.