Cohere
Build incredible products with world-class language AI
4.9•13 reviews•405 followers
Build incredible products with world-class language AI
4.9•13 reviews•405 followers
We build high performance, secure language models for the enterprise. Our customizable, high-performance language models work on public, private, or hybrid clouds to ensure data security & exceptional support.
This is the 5th launch from Cohere. View more
Cohere Transcribe
Launched this week
Cohere Transcribe is a state-of-the-art, 2B open-weights speech recognition model. Optimized for enterprise workloads, it delivers high throughput and a leading 5.42% WER across 14 languages, making it ideal for private, local, or desktop deployment.
Free Options
Launch Team
Flowtica Scribe
Hi everyone!
Cohere just open-sourced Transcribe, and the core metrics here, especially the throughput and the 5.42% average WER, are genuinely impressive.
From an engineering point of view, this looks like a fantastic model for Mac/PC local apps or private enterprise servers. At 2B parameters, though, it still feels a bit heavy for raw on-device mobile deployment.
It is also worth noting that this is a highly optimized transcription engine, not a fully packaged meeting intelligence stack. Out of the box, you will still want to add your own layer for things like word-level timestamps and speaker diarization.
It also seems to perform best when you specify the language and avoid heavy code-switching.
But if you handle those pre- and post-processing steps and keep the audio mostly in a single language, this open-weight model looks extremely strong for privacy-first, local speech workflows.
@zaczuo Have you tested quantization or distillation tweaks to slim it down for mobile edge cases, like real-time podcast transcription on iOS?
@zaczuo This is awesome! I used Cohere's Rerank API while building Octopus (an open-source AI code reviewer) and it worked great for improving search relevance across codebases. Love seeing Cohere push more into open source, Transcribe looks really promising, especially for privacy-first use cases.
How does it handle noisy environments and accented speech? Because that's where most models still drop off - would love to try this out in our office where people speak with diverse accents and sit in close quarters. Any reviews from users?
Wow Zac! Was looking for something like this. What about the pricing? Is there a benchmark to compare with current competitors?
Cohere Transcribe looks like a game-changer for privacy-focused teams needing fast, accurate transcription across multiple languages. For non-technical users, will there be an “out-of-the-box” version with speaker labeling and timestamps?