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# Meet Cohere Transcribe Arabic

> This announcement covers the release of Cohere Transcribe Arabic, Cohere's specialist speech recognition model for transcribing Arabic audio.

Today we are releasing [Cohere Transcribe Arabic](/docs/transcribe-arabic).

This open-source speech-to-text model is a fine-tune of Cohere Transcribe using Arabic speech data. It
lets Arabic speakers transcribe their voice with unmatched accuracy and support for regional dialects or
speech patterns.

It is currently the most accurate open-source Arabic ASR model available today and is optimized for
production inference and throughput.

## Technical Details

* **Model Name**: `cohere-transcribe-arabic-07-2026`
* **Size**: 2B
* **Architecture**: conformer-based encoder-decoder
* **Languages supported**: Arabic (all major dialects), English (including English spoken with an
  Arabic accent)
* **License**: [Apache 2.0](https://www.apache.org/licenses/LICENSE-2.0)

## Availability

Cohere Transcribe Arabic is available through the V2 Audio Transcriptions API and as open weights on
[Hugging Face](https://huggingface.co/CohereLabs/cohere-transcribe-arabic-06-2026). For
production use, [Model Vault](/docs/model-vault) deployment is also supported.

For more details, see the [model documentation](/docs/transcribe-arabic).