Cohere Transcribe
AI model · Speech to text · Audio / speech → Text by Cohere
Accurate speech recognition, built for enterprise workloads.
A high-accuracy speech recognition model for enterprise audio, supporting 14 languages and private deployment. It enables businesses to convert meetings and calls into precise text for RAG pipelines and AI agent workflows.
Model specs
- Model family
- Transcribe
- Version
- NEW
- Released
- 2026-03-26
- Input
- Audio
- Output
- Text
- Weights
- Open weights
- License
- Apache 2.0
- Available on
- Cohere’s proprietary platform, Amazon SageMaker, Amazon Bedrock, Microsoft Azure, Oracle GenAI Service, OpenRouter
- Launched
- 2026-03-26
- Languages
- English, French, Spanish, Italian, German, Portuguese, Japanese, Korean, Chinese, Arabic, Russian, Turkish
Category: Natural Language Processing
- Modalities
- Audio → Text
- License
- Apache 2.0
- Access
- API, Model Vault, Hugging Face download
- Released
- 2026-03-26
- Languages
- 14 languages including Arabic
- Supported Languages
- 14
- Supports 14 languages for global business workflows
- Apache 2.0 open-source license for flexible deployment
- Optimized for noisy real-world enterprise environments
- Integrates with RAG pipelines and AI agent workflows
Overview
Cohere Transcribe is a high-accuracy speech recognition model designed for fast and reliable transcription across real-world enterprise audio and conversational workflows. It converts business audio data into precise text for search, analytics, and automation, serving as a foundation for AI-powered speech workflows. The model is built to handle the demands of 24/7 enterprise environments, maintaining accuracy in noisy settings and across diverse speech patterns. It supports 14 languages and is available under an Apache 2.0 license, allowing for private deployment on-premises, at the edge, or through Cohere's Model Vault. Transcribe integrates seamlessly with generative and retrieval systems, enabling audio data to be used in RAG pipelines and to drive AI agent behavior.
Speech Recognition
- Business Audio Conversion: The model converts business audio data into precise text for use in search, analytics, and automation workflows.
- Real-World Robustness: Transcribe is designed to maintain high accuracy under real-world conditions, including noisy settings and diverse speech patterns.
- Multilingual Support: The model supports transcription across 14 different languages used by businesses globally.
- Enhanced Throughput: Transcribe is optimized for efficient model serving to handle high-volume production workloads.
Enterprise Integration
- RAG Integration: Transcripts can be embedded into RAG pipelines to generate grounded, context-aware responses from audio data.
- Agentic Workflows: The model converts spoken input into actionable signals that drive AI agent behavior and system integrations.
- Searchable Audio: Users can convert recordings into accurate transcripts for reliable knowledge search and retrieval across the enterprise.
- Meeting Intelligence: The system generates transcripts of call recordings, meetings, and training materials for audit and analysis.
Use cases
- Enterprises convert meeting recordings into searchable text for internal knowledge bases and RAG pipelines.
- Support teams transcribe customer calls to perform sentiment analysis and audit service quality.
- Developers build voice-powered AI agents that trigger specific system actions based on spoken commands.
- Organizations in regulated industries deploy the model on-premises to process sensitive audio data compliantly.
Specifications
- Modalities
- Audio → Text
- License
- Apache 2.0
- Access
- API, Model Vault, Hugging Face download
- Released
- 2026-03-26
- Languages
- 14 languages including Arabic
- Supported Languages
- 14
- Max File Size
- 25MB
- API Endpoint
- /v1/audio/transcriptions
- Deployment Options
- API, Model Vault, Private VPC, Edge
- Primary Modality
- Audio to Text
How it works
- Access the Model: Users can download the model weights from Hugging Face for local use or access it via the Cohere API.
- Process Audio Data: Upload business audio files up to 25MB to the Audio Transcriptions endpoint.
- Generate Transcripts: The model generates precise text transcripts that preserve the context of the original conversation.
- Downstream Integration: Integrate the resulting text into search indexes, RAG pipelines, or automated agent workflows.
FAQ
How many languages does Cohere Transcribe support?
Cohere Transcribe supports 14 languages, with specialized optimization available for languages like Arabic.
How can I deploy Cohere Transcribe?
The model is available as open-weights for local or edge deployment, through Cohere's managed Model Vault, or via the Audio Transcriptions API endpoint.
What is the maximum file size for transcription?
The model accepts audio files with a maximum size of 25MB per request.
Is the model accurate in noisy environments?
Transcribe is specifically built for enterprise conditions, meaning it is robust against background noise, domain-specific terminology, and varied speech patterns.
Added by AntSpace from public sources (cohere.com).