Cohere Parse 5

the bounding boxes are what i'd lead with here honestly. extraction quality is nearly table stakes now, but almost nothinggg hands you a coordinate, so when an agent claims something from a contract you still cant show anyone the exact clause it read. thats the bit that makes it usable when it actually matters.

Nice work!

Wow mate! It looks awesome. I take OKR too seriously so feel it can be really helpful. Wish you all the best here

Parse is Cohere's document vision parsing model for turning enterprise files into AI-ready data.Problem: Enterprise documents (scans, PDFs, contracts, invoices) are messy, unstructured, and full of tables, diagrams, and charts. Most AI agents and search tools can't reliably read them, so companies end up doing manual review and data entry just to make documents usable.Solution: A document parsing model that combines OCR with multimodal understanding, turning complex files into clean, structured data that downstream AI agents and applications can actually use.What makes it different: It doesn't just extract text, it understands layout, tables, and diagrams together, and returns visual grounding (bounding boxes) so every extracted piece of data can be traced back to its exact location on the page. That's what makes citations and source attribution possible downstream.Key features:OCR for scanned and digital documentsMultimodal parsing for tables, diagrams, and images embedded in documentsVisual grounding with bounding boxes for highlighting and source attributionSupport for 9 major commercial languagesDeploy via API, Model Vault, AWS SageMaker, Azure, or fully on-prem/air-gapped Benefits: Less manual document review, more reliable AI search and retrieval, and document context AI agents can actually reason over instead of guessing at.Who it is for: Enterprises with high document volumes (claims, contracts, invoices, reports) building internal AI search, RAG pipelines, or multimodal agents.Use cases: Automating claims/contract/invoice processing, improving chunking and retrieval quality for semantic search, giving AI agents full document context including tables and visual grounding.Try here