{"schema_version":"onlylabs.public_signal.v1","title":"Cohere Writing: Transcribe Arabic","description":"Cohere writing signal with public source context, captured evidence pages, related signals, and data-business radar classification.","url":"https://onlylabs.fyi/signals/704b4ec7-6de8-416a-bbff-c28580c66775","json_url":"https://onlylabs.fyi/signals/704b4ec7-6de8-416a-bbff-c28580c66775/signal.json","generated_at":"2026-07-27T00:16:43.764Z","evidence_latest_fetched_at":"2026-07-07T16:02:17.622246+00:00","signal_first_seen_at":"2026-07-07T16:00:50.319801+00:00","org":{"slug":"cohere","name":"Cohere","category":"frontier-lab","category_label":"Frontier lab","dossier_url":"https://onlylabs.fyi/labs/cohere","dossier_json_url":"https://onlylabs.fyi/labs/cohere/dossier.json"},"related_urls":{"signal":"https://onlylabs.fyi/signals/704b4ec7-6de8-416a-bbff-c28580c66775","signal_json":"https://onlylabs.fyi/signals/704b4ec7-6de8-416a-bbff-c28580c66775/signal.json","source":"https://cohere.com/blog/transcribe-arabic","lab_dossier":"https://onlylabs.fyi/labs/cohere","lab_dossier_json":"https://onlylabs.fyi/labs/cohere/dossier.json","analysis":"https://onlylabs.fyi/analysis/cohere","analysis_json":"https://onlylabs.fyi/analysis/cohere/analysis.json","analysis_evidence_json":"https://onlylabs.fyi/analysis/cohere/evidence.json","category":"https://onlylabs.fyi/frontier","category_json":"https://onlylabs.fyi/frontier.json","category_feed":"https://onlylabs.fyi/frontier/feed.xml","category_signals_json":"https://onlylabs.fyi/signals.json","topic":"https://onlylabs.fyi/topics/talking","topic_signals_json":"https://onlylabs.fyi/topics/talking/signals.json","topic_feed":"https://onlylabs.fyi/topics/talking/feed.xml","data_business":null},"answer_pack":{"answer":"Cohere published Transcribe Arabic. 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Cohere&#x27;s first model for developers. Learn more Jul 07, 2026 5 minute read Meet Cohere Transcribe Arabic The world’s most accurate open-source model for Arabic speech recognition. Key takeaways Transcribe Arabic achieves the highest accuracy for Arabic-language transcription among open-weights models. It is designed to capture the nuances and dialectical richness of Arabic, while being fit for enterprise speech applications. Human reviewers preferred Cohere Transcribe Arabic to Whisper in 96% of tests. This is a proud advance in the region’s sovereign AI capabilities, bringing frontier performance to millions of Arabic-speakers. Today, we are releasing Cohere Transcribe Arabic as an open-source model. Based on our 2B frontier Automatic Speech Recognition (ASR) model released earlier this year, Cohere Transcribe Arabic is built for the realities of Arabic in business and developer settings: dialect variation, bilingual Arabic-English speech, code-switching, and domain-specific vocabulary. 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