Cake for Intelligent Document Processing
Extract, structure, and act on unstructured content at scale using Cake’s composable AI stack. Automate document processing with open-source OCR, LLMs, and orchestration built for enterprise compliance.






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 (e.g., Docling, 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 sans 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.
THE CAKE DIFFERENCE
From templates and rules to
intelligent document agents
Legacy OCR pipelines
Template-based systems that fail in the real world: Traditional IDP solutions break down with layout shifts, noisy scans, or edge cases.
- Require brittle templates and field coordinates for every document type
- Struggle with multi-language, multi-column, or noisy inputs
- Manual QA and post-processing are needed for every change
- No observability or version control across workflows
Result:
High maintenance, low accuracy, and slow document turnaround
IDP with Cake
Adaptive agents that understand, extract, and validate: Cake lets you build document agents that parse, reason, and scale across formats.
- Use layout-aware models and retrieval to extract structured data
- Process PDFs, scans, emails, tables, and mixed formats with ease
- Add validation, schema enforcement, and human review when needed
- Full observability, retries, and lineage built into every workflow
Result:
Faster, more accurate document processing with less manual work
EXAMPLE USE CASES
How Cake’s IDP stack helps teams
streamline content-heavy workflows
Invoice and form extraction
Parse structured and semi-structured forms to extract fields like totals, dates, and customer IDs.
Contract summarization and classification
Use LLMs to identify document types, extract clauses, or summarize key terms across large contract volumes.
Insurance, healthcare, or legal document intake
Automate intake and routing of documents based on content, structure, or urgency.
Onboarding and identity verification
Extract and validate key fields from documents like passports, licenses, and utility bills to streamline KYC and onboarding workflows.
Regulatory compliance checks
Scan documents for required disclosures, missing terms, or risky language to ensure alignment with industry regulations and internal policies.
Audit-ready document archiving
Automatically extract, tag, and store key document data in structured formats to support audit trails, record retention, and regulatory reviews.
IN DEPTH
Ingestion & ETL built for the AI era
Automated ingestion & transformation pipelines designed for modern AI workloads, and they're composable, scalable, and compliant by default.
IN DEPTH
How to unlock the value hidden in your docs
Build scalable, composable pipelines to extract, clean, and prepare data from documents, APIs, and databases, and know they will be optimized for agentic workflows and RAG.
"Our partnership with Cake has been a clear strategic choice – we're achieving the impact of two to three technical hires with the equivalent investment of half an FTE."

Scott Stafford
Chief Enterprise Architect at Ping
"With Cake we are conservatively saving at least half a million dollars purely on headcount."
CEO
InsureTech Company
COMPONENTS
Tools that power Cake's IDP stack

LangGraph
Agent Frameworks & Orchestration
LangGraph is a framework for building stateful, multi-agent applications with precise, graph-based control flow. Cake helps you deploy and scale LangGraph workflows with built-in state persistence, distributed execution, and observability.

Airflow
Orchestration & Pipelines
Apache Airflow is an open-source workflow orchestration tool used to programmatically author, schedule, and monitor data pipelines. Cake automates Airflow deployments within AI workflows, ensuring compliance, scalability, and observability.

Docling
Orchestration & Pipelines
Docling is an open-source document intelligence tool for extracting structured information from unstructured text. Cake integrates Docling into AI workflows to automate document classification, extraction, and downstream analysis.

Ray
Distributed Computing Frameworks
Ray is a distributed execution framework for building scalable AI and Python applications across clusters.

DSPy
LLM Optimization
DSPy is a framework for optimizing LLM pipelines using declarative programming, enabling dynamic tool selection, self-refinement, and multi-step reasoning.

Promptfoo
LLM Observability
LLM Optimization
Promptfoo is an open-source testing and evaluation framework for prompts and LLM apps, helping teams benchmark, compare, and improve outputs.
Frequently asked questions
What is intelligent document processing (IDP)?
Intelligent document processing (IDP) uses AI to extract, classify, and structure information from unstructured or semi-structured documents. It combines technologies like OCR, natural language processing (NLP), and machine learning to automate tasks traditionally handled by manual data entry.
How does Cake support IDP workflows?
Cake provides a composable AI infrastructure that makes it easy to integrate OCR engines, LLMs, vector databases, and RAG pipelines into a secure, traceable document processing workflow. Teams can quickly build, evaluate, and scale IDP applications using open-source tools—without reinventing the stack.
Can Cake handle sensitive documents with compliance requirements?
Yes. Cake’s platform is designed with enterprise-grade security and compliance in mind. It supports HIPAA and SOC 2–ready workflows and allows you to deploy components in your own VPC, ensuring that no data ever leaves your environment.
What are common use cases for IDP?
IDP is used across industries for automating high-volume, document-heavy processes. Common examples include invoice processing, claims intake, loan document analysis, contract summarization, and onboarding workflows that require KYC document extraction.
Which tools can I use with Cake for document understanding?
You can bring your own stack or choose from Cake’s supported open-source tools, including Tesseract or PaddleOCR for extraction, LangChain or LlamaIndex for retrieval, LiteLLM for model routing, and Langfuse or Prometheus for observability. Everything is pre-validated to work together.
Frequently asked questions

Automated Data Extraction: Benefits and Use Cases
Your team is your company's greatest asset, filled with smart, capable people hired for their strategic minds. So why are they spending hours every...