What is the word error rate of Cohere Transcribe?

Cohere Transcribe achieves a leading 5.42% word error rate across 14 languages under real-world, enterprise conditions.

Which languages does Cohere Transcribe support?

It supports 14 languages, including Chinese, Japanese, Polish, French, Greek, and others, making it versatile for multilingual applications.

Is Cohere Transcribe open source?

Yes, it is released under the Apache 2.0 license, allowing free use, modification, and deployment for both commercial and non-commercial purposes.

Can Cohere Transcribe be deployed on edge devices?

Yes, it is designed to be small enough for deployment on edge devices, enabling private, secure, and low-latency speech recognition without cloud dependencies.

Cohere Transcribe

New state-of-the-art in open source speech recognition

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What is Cohere Transcribe

Cohere Transcribe is a state-of-the-art, open-source speech recognition model with 2 billion parameters, designed for enterprise use. It delivers high accuracy with a 5.42% word error rate across 14 languages and is optimized for private, local, or desktop deployment to handle audio data efficiently.

Key Features

Open-source under Apache 2.0 license

State-of-the-art accuracy with 5.42% WER across 14 languages

Optimized for high throughput and enterprise workloads

Deployable on edge devices for private and local use

Supports integration into AI workflows like RAG pipelines

Use Cases

Meeting intelligence for transcribing and analyzing business calls, meetings, and training materials
Searchable audio archives for knowledge retrieval and analytics in enterprise settings
Customer service automation for real-time speech-to-text conversion in banking and sales
Integration into AI agents and platforms for enhanced speech-powered applications

Why do startups need this tool?

Startups need Cohere Transcribe for its open-source nature, which reduces costs and allows customization without vendor lock-in. Its high accuracy and private deployment capabilities enable startups to build secure, scalable speech features into their products quickly, enhancing competitiveness in AI-driven markets.