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PARSE
Parse converts complex documents, tables, and images into structured data your AI can search or act on.
Trusted by industry leaders and developers worldwide
OCR
Extract text accurately from scanned and digital documents with high-fidelity optical character recognition.
Multimodal Parsing
Detect and understand tables, diagrams, and images embedded within complex documents.
Visual Grounding
Return precise bounding boxes for extracted content to enable highlighting, source attribution, and spatial reasoning.
Multilingual Support
Parse documents in major commercial languages with confidence and consistency.
Enterprise Deployment
Deploy in the cloud, on-premises, or in private and air-gapped environments to match your cost and security profile.
Parse combines top-tier parsing accuracy with one of the industry's lowest per-page prices—keeping total cost of ownership predictable as document volumes grow.
Automate the ingestion and extraction of high-volume documents like claims, contracts or invoices—reducing manual review and data entry.
Transform complex documents into retrieval-optimized representations that improve chunking, indexing, search, and citation quality.
Give AI agents complete document context—including tables, diagrams, and visual grounding—to reliably use and reason over.
Parse is Cohere’s document vision parsing model. It transforms unstructured data contained with enterprise images and documents into structured data that can be used by downstream AI agents and applications.
Yes. Parse supports both OCR and visual reasoning capabilities, so it understands the meaning and context behind the text or visual elements extracted.
Parse is available through the Cohere API and Model Vault, as well as on Amazon SageMaker and Microsoft Azure. It can also be deployed privately for enterprise use cases that require greater control over data and infrastructure.
ParseBench is a benchmark for evaluating document parsing quality across five dimensions: Tables, Text Content, Text Formatting, Layout, and Charts. We report results for Tables, Text Content, and Text Formatting, which align with our parser’s focus on accurate, structured, semantically faithful transcription. Layout and Chart scores are excluded because they evaluate capabilities outside the current product scope: element-level bounding-box detection and numerical data extraction from charts, respectively.
Yes. Parse detects and highlights key visual regions in the document you provide. It returns axis-aligned bounding boxes as page coordinates.
Yes. Parse is a multilingual model trained on nine of the world’s most prevalent commercial languages.
No. Compass is Cohere's end-to-end document intelligence and enterprise search platform. Parse is one component of Compass, responsible for document ingestion, visual parsing, and chunking within the document processing pipeline.
Build the secure, reliable foundation for agentic knowledge work.
Create vector representations from multimodal and multilingual documents with Cohere’s industry-leading embeddings model.
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Feed only the most relevant documents into your RAG and agentic workflows — for more accurate and token-efficient search.
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The complete document intelligence platform. Compass handles your entire search stack - from parsing to retrieval - with enterprise-grade security and governance built in.
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