Ninjadoc

Name: Ninjadoc
Brand: Ninjadoc

Extracts structured answers with precise coordinates from documents for AI agents.

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Product memo

Ninjadoc AI extracts structured answers with bounding boxes and citation URLs from documents. It helps developers build AI agents that can cite sources accurately, which is crucial for auditable workflows. This focus on verifiable data output differentiates it from broader OCR or LLM APIs, targeting complex AI applications where precision and auditability are paramount.

For who: Developers building AI agents and document workflows
Solves what: Extracting structured answers with precise coordinates from documents.

Document data extraction API
Bounding boxes for answers
MCP-ready outputs

In their own words

Document extraction your agents can cite.

Get structured PDF answers with bounding boxes, citation URLs, and MCP-ready outputs for auditable agent workflows.

Operator & company

Operators

1 person

Diego Viteri

Maker · Source-backed

Company

Founded: Aug 2025

Operating model

Business model: Usage Based
Platform: API
Audience: Developers

Builder strategy

ProvenRadar analysis

Strategy Type: Niche Specialist
Stage: Vc Growth
Effort: Small Team

About Ninjadoc Expand

Ninjadoc AI provides a document extraction API designed for developers building AI agents and document workflows. It extracts structured answers from documents, complete with precise bounding boxes and citation URLs.

This capability enables AI agents to accurately cite their sources, which is essential for creating auditable and verifiable AI applications. The API focuses on delivering MCP-ready outputs, ensuring that the extracted data is suitable for complex, compliance-focused environments.

Its REST API makes integration straightforward for developers needing reliable and precise document data.