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ITRVIX

DocExtract

Self-hosted PDF data extraction platform — schema-driven LLM extraction with OCR fallback, per-field confidence scoring and human-in-the-loop review, built to plug into an existing n8n pipeline.

PDF data extraction platform

The problem

Regex/template-based PDF parsing breaking on every new document layout, with no way to tell which extracted values were trustworthy.

What we built

Schema-driven LLM extraction with automatic OCR fallback, per-field confidence scoring, and a review dashboard before anything is approved.

DocExtract interface

At a glance

Type
Product
Status
Demo available
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Capabilities

What this project used

The service families this build drew on — each one is something we deliver on its own.

  • AI & Machine Learning

    Agents, generative pipelines and vision/document models that read, reason and act on your data — not demos, production systems.

    Explore AI & Machine Learning

  • Automation & Integrations

    The unglamorous work that pays for itself — connecting the tools you already run and deleting the copy-paste between them.

    Explore Automation & Integrations

How we work

The same handover on every project

Whatever the build, the engagement ends the same way: the system is deployed to your infrastructure, documented, and transferred. You own the code and the accounts outright.

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  • A written scope with a fixed price and a date before any work starts
  • The riskiest part built first, with weekly demos against the scope
  • Deployed to your cloud, documented and transferred
  • Ongoing monitoring and support for as long as you want us on it

Related work

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