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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.

 

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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.

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Increase in
MLOps productivity

 

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Faster model deployment
to production

 

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Annual savings per
LLM project

THE CAKE DIFFERENCE

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From templates and rules to
intelligent document agents

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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
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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

EXAMPLE USE CASES

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How Cake’s IDP stack helps teams
streamline content-heavy workflows

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Invoice and form extraction

Parse structured and semi-structured forms to extract fields like totals, dates, and customer IDs.

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Contract summarization and classification

Use LLMs to identify document types, extract clauses, or summarize key terms across large contract volumes.

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Insurance, healthcare, or legal document intake

Automate intake and routing of documents based on content, structure, or urgency.

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Onboarding and identity verification

Extract and validate key fields from documents like passports, licenses, and utility bills to streamline KYC and onboarding workflows.

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Regulatory compliance checks

Scan documents for required disclosures, missing terms, or risky language to ensure alignment with industry regulations and internal policies.

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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.

Read More >

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.

Read More >

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"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."

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Scott Stafford
Chief Enterprise Architect at Ping

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"With Cake we are conservatively saving at least half a million dollars purely on headcount."

CEO
InsureTech Company

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"Cake powers our complex, highly scaled AI infrastructure. Their platform accelerates our model development and deployment both on-prem and in the cloud"

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Felix Baldauf-Lenschen
CEO and Founder

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?

Can Cake handle sensitive documents with compliance requirements?

What are common use cases for IDP?

Which tools can I use with Cake for document understanding?

Frequently asked questions

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