Introducing Parse: Enterprise document intelligence at scale

Cohere has introduced Parse, a vision-language document parsing model designed to convert high volumes of complex enterprise files into structured, machine-readable Markdown for uses including document indexing, retrieval-augmented generation, semantic search, and AI agents. Supporting nine major languages, it interprets text alongside tables, forms, diagrams, and images, while preserving document structure and offering secure deployment through the Cohere API, Model Vault, private clouds, or on-premises infrastructure. Cohere reports that Parse achieved a 79.2 average score on its ParseBench evaluation, exceeding several specialized parsing products and major cloud document services, though larger frontier general-purpose models scored higher. The company prices API use at $1.50 per 1,000 pages and says dedicated Model Vault deployments can lower costs for sustained workloads, citing potential savings for large document-processing operations. Parse is generally available through Cohere’s API, Model Vault, Microsoft Foundry, AWS SageMaker, and the Compass search platform, where it integrates with Cohere’s Embed and Rerank models for managed document-to-answer workflows.

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