Cohere Transcribe
Open-source ASR that beats Whisper in accuracy and speed
Expert verdict
Ship
3-1The Panel's Take
Cohere Transcribe is a 2B parameter open-source speech recognition model released under Apache 2.0, specifically designed for transcription accuracy. It tops the Hugging Face Open ASR Leaderboard with a 5.42% average word error rate — outperforming Whisper Large v3, ElevenLabs Scribe v2, and Qwen3-ASR-1.7B across all benchmarks. The architecture uses a Fast-Conformer encoder with over 90% of its 2B parameters dedicated to encoding, keeping the decoder lightweight. This gives it a real-time factor up to 3x faster than other dedicated ASR models in its size class. It supports 14 languages including English, German, French, Japanese, Arabic, and Chinese. Beyond the raw numbers, Cohere's move into voice is strategically interesting — they've been a text/embeddings specialist and this represents a meaningful expansion into the audio stack. The model is free via API and downloadable on Hugging Face, making it an immediate threat to Whisper as the default open-source ASR choice.
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Cohere Transcribe verdict: SHIP 🚀 3 ships · 1 skip from the expert panel Full review: shiporskip.io/tool/cohere-transcribe-open-source-asr-14-languages-sota-2026
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“This is an immediate Whisper replacement for most production transcription pipelines. The 3x speed advantage at comparable or better accuracy is the kind of benchmark that actually changes infrastructure decisions. Apache 2.0 means no licensing drama.”
“The 14-language support sounds broad but there's a big quality gap between English and the tail languages. And Whisper's massive community, fine-tuning ecosystem, and tooling integration will keep it dominant in practice even if Cohere wins on raw WER scores.”
“Cohere entering voice signals that the commodity ASR race is now a prerequisite for any frontier AI company's portfolio. The real story is how this feeds into Cohere's enterprise stack — transcription is the input layer for everything from meeting notes to call center analytics.”
“If you're captioning videos, transcribing podcasts, or building voice-first workflows, this is worth benchmarking right now. Free API + Apache 2.0 means you can use it in commercial projects without a lawyer's blessing.”