Purple8 DocIntel

Any document. Structured knowledge.

Turns every document into the people, money, dates and relationships inside it, ready for your graph.

How DocIntel works

Any document in. A graph out.

Turn documents into entities and relationships with stable IDs. Review the results, then export them to your graph or application. No Hyper Graph installation required.

Formats70+
Languages75+
Extraction2-pass
Hosted contentRAM-only session
SOURCESONE PIPELINEOUTPUTUpload or URL70+ formatsConnectorsSharePoint · Confluence · S3Webhookspush on changeDetect & parseformat sniffing · OCRClassify & languagedomain profile · 75+ languagesStructure-aware chunkingclauses · sections · tablesPass 1: entitiesfast NER · ontology labelsPass 2: relationshipsLLM, given the entitiesResolve & scorestable IDs · dedupe · confidenceYour graph or appstructured export · REST APIPreviewreview before commitHistory & jobslive progress · audit

Hosted content and results stay in memory for the processing session; account, job and billing metadata are retained separately. Choose where your exported knowledge lives. Hyper Graph is optional.

How it is different

Documents become knowledge, not just text

Graph-ready

Built to feed a graph, not a chatbot

Most document tools stop at text chunks for a vector store. DocIntel returns the people, organisations, money, dates and relationships between them, with stable IDs. Download structured results or send them to your chosen graph or application. Hyper Graph is an optional destination, not a requirement.

Two-pass

Entities first, then relationships

A fast entity model finds what is in the document. A language model then links those entities, given the full list as context. Each pass does what it is best at, and every domain profile (contracts, finance, science, AEC) brings its own ontology.

Stable IDs for integration

Normalized names and types produce deterministic IDs for de-duplication. Review ambiguous names before merging records across documents.

Session-based processing

Hosted document content and results stay in RAM for the processing session. Account, job and billing metadata are retained separately. Download results before the session ends.

Native script, every language

Language is detected per document across 75+ languages, and entity names stay in their original script.

Structure-aware chunking

Contracts split on clauses, papers on sections, spreadsheets keep their tables. The split follows the document, not a character count.

Your providers, your choice

Self-host with local OCR and a local language model for in-network processing, or choose cloud providers. Data handling depends on your selected providers.

Ready for your destination

Document type and chunking hints travel with structured output. Use the REST API, export results, or connect an optional graph destination.

Licensing & Deployment

Evaluate in the Cloud Sandbox. License for Cloud, VPC, or Air-Gapped Production.

Test DocIntel immediately in the interactive Cloud Sandbox or connect your AI agent directly over MCP (/mcp). When turning unstructured documents or text into semantic vectors, graph nodes, and relationships in Purple8 Hyper Graph - or running standalone document extraction at enterprise scale - contact us for Commercial or Enterprise licensing across VPC, On-Premise, and Cloud deployments.

How do I start?

$0 Free · Browser & MCP Sandbox

DocIntel Playground ($0)

Evaluate DocIntel immediately in your browser or connect your AI agent over MCP (/mcp, 13 tools).

Try DocIntel

$79 · $299 · $599/mo (or Annual)

DocIntel Cloud & Self-Hosted

Start with DocIntel Builder ($79/mo for 10K docs/mo), Production ($299/mo unlimited docs + SharePoint/Confluence/S3 connectors), or Growth ($599/mo multi-tenant + SSO).

View DocIntel Plans →

Custom Annual License · Sovereign & Enterprise

Enterprise / BYOC (VPC & Air-Gapped)

Deploy inside your own AWS/Azure/GCP VPC, Red Hat OpenShift (UBI9), on-premise, or air-gapped network with custom domain adapters and 24×7 Severity-1 SLAs.

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What is inside

Formats

  • PDF, Word, Excel, PowerPoint, HTML
  • Scanned images with OCR
  • Email, CAD, BIM, SAP IDocs

Extraction

  • People, money, dates, relationships
  • Contract, financial, scientific, AEC profiles
  • Custom ontologies

Quality

  • Stable entity IDs
  • De-duplication
  • Confidence thresholds per profile

Connectors

  • SharePoint
  • Confluence
  • Amazon S3 and webhooks

Operations

  • Async jobs with live progress
  • RAM-only hosted document sessions
  • Metrics, health and readiness

Output

  • Structured exports and REST API
  • Preview before sending
  • Optional Hyper Graph integration