Cake for Intelligent Document Processing

Overview

Documents still power critical workflows across industries—from invoices and contracts to claims, applications, and reports. But traditional OCR and rule-based systems are brittle, expensive, and hard to adapt. Intelligent Document Processing (IDP) powered by LLMs and open-source tools makes it possible to unlock that data at scale.

With Cake, you can ingest PDFs, Word files, or scans, extract and structure content using open-source OCR and LLMs, and feed results directly into downstream workflows. Whether you’re classifying documents, pulling key fields, or summarizing multi-page reports, Cake gives you a modular, cloud-agnostic stack to do it securely and repeatably.

You can integrate best-in-class tools like PyMuPDF, Hugging Face, and LangChain—then orchestrate the entire pipeline using Kubeflow and track results with built-in observability. It’s everything you need to move from static documents to AI-powered workflows—without lock-in or overhead.

Key Benefits

• Automate document processing at scale: Extract, structure, and act on unstructured content using open-source components.
  
  
• Reduce manual effort and costs: Eliminate repetitive reviews and handoffs with reusable, low-latency pipelines.
  
  
• Use cutting-edge LLMs and OCR tools: Integrate the latest models and libraries without vendor delays.
  
  
• Deploy securely and flexibly: Run workloads in any environment, with full control over data access and compliance.
  
  
• Track performance and outcomes: Monitor model quality and track extracted fields across versions.