NinjaDoc

This product is a document extraction API that provides structured answers from PDFs with bounding boxes, citation URLs, and MCP-ready outputs, solving the problem of unverifiable AI-generated document answers. It targets developers, data teams, and operations teams in B2B settings, from startups to enterprises, who need auditable agent workflows. It is positioned as an audit-ready alternative to traditional OCR and generic LLM APIs, offering per-page pricing and no subscriptions.

Key features

• Natural language document questions
• Bounding boxes for every answer
• Citation URLs for source review
• MCP-ready for AI agents
• Audit-ready evidence JSON
• Transparent per-page pricing
• No templates or field training
• Developer-friendly REST API