AIIC AI Intelligence Centre

SOURCE-LINKED INTELLIGENCE

Meet Cohere Transcribe Arabic

Cohere Changelog · article · Jul 7, 2026 · UTC

Today we are releasing Cohere 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 Availability Cohere Transcribe Arabic is available through the V2 Audio Transcriptions API and as open weights on Hugging Face. For production use, Model Vault deployment is also supported. For more details, see the model documentation.

Read original source ↗ Open in workspace

recordType
page-entry
evidenceStatus
publisher-reported
region
Global

Evidence & attribution

First collected: 2026-09-23T00:41:11.323Z. This is not the publication date.

Observed changes

AIIC observation times, not verified publisher revision times. Up to eight recent revisions.

2026-09-26T02:12:33.112Z

  • url: https://docs.cohere.com/v2/changelog/transcribe-arabic → https://docs.cohere.com/changelog/transcribe-arabic

2026-09-26T02:02:48.044Z

  • url: https://docs.cohere.com/changelog/transcribe-arabic → https://docs.cohere.com/v2/changelog/transcribe-arabic