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DocSense AI Framework

Turning Unstructured Documents into Actionable, Traceable, AI-Ready Data

Modern enterprises run on documents — drawings, specifications, reports, certificates, emails, and mixed-format files. Yet the valuable information inside these documents rarely becomes structured data in PLM, ERP, or analytics systems. DocSense solves this problem.

DocSense is Prorigo's unstructured document extraction and loading framework, designed to convert selected content from any document into structured, validated, traceable data ready for Aras Innovator, Protrak, ERP systems, enterprise systems and AI pipelines.

Explore the workflow View capabilities
DocSense overview of the unstructured data challenge
The Challenge

Unstructured Data Everywhere

Organizations rely on documents across engineering, quality, procurement, operations, and compliance. But these documents are:

DocSense overview of the unstructured data challenge

Locked inside files

PDFs, Word, Excel, PowerPoint, images, emails.

Managed only as attachments

Aras and other enterprise systems store the file, not the data inside.

Slow & error-prone to process

Manual re-keying and copy/paste introduce delays and mistakes.

Costly to scale

Every new document adds effort.

AI-unready

RAG and analytics need structured data, not noise.

DocSense eliminates these barriers by extracting only the meaningful regions of a document and mapping them directly into enterprise systems.

Extract · Assemble · Load

DocSense EAL Process

DocSense delivers a complete pipeline that transforms unstructured documents into structured, application‑ready data.

01

Extract

Capture defined regions using interactive Studio tools or automated commands:

  • Fields
  • Text
  • Lists
  • Tables & tree-tables
  • Drawing views
  • Dimensions
  • Callouts
  • Images
02

Assemble

Map extracted regions to backend schemas using:

  • Visual designer
  • Scripting
  • BOM-like hierarchical builders
03

Load

Publish structured, validated data to:

  • Aras Innovator
  • Protrak
  • ERP systems
  • Data lakehouses
  • RAG pipelines

Every extracted value remains traceable to its source content, ensuring governance and auditability.

One Platform

System Architecture

DocSense is built as a unified extraction engine powering interactive users, enterprise applications, and knowledge ingestion pipelines.

DocSense overview of the unstructured data challenge

Components

DocSense Studio

Interactive extraction, mapping, and loading — standalone or embedded in host applications.

DocSense Server (Web API)

Provides Studio access, automation endpoints, and integration services.

DocSense Engine

Native, OCR, and AI‑assisted extraction engine with raster/vector detection, optimized CV algorithms, and optional ML models.

Connectors

Aras, Protrak, Epicor, PLM, ERP, Data Lakehouse, and other enterprise systems.

DocSense CLI

Bulk document processing for ingestion pipelines, archives, and knowledge graphs.

The same engine powers Studio, API, and CLI — ensuring consistent, governed extraction across all workflows.

Multi Document Framework

Representative Use Cases

DocSense supports a wide range of document categories — each with its own Extraction Template.

Engineering Drawings

Captures: Title blocks, BOM tables, dimensions, callouts

Use case: Create part and BOM structures in PLM

ECAD PDFs

Captures: Device tags, wire numbers, cross-references, cable lists

Use case: Build electrical BOMs and wiring records

Inspection Reports

Captures: Header fields, measurement tables, pass/fail results

Use case: Load quality results for traceability

RFPs & Requirements

Captures: Sections, requirement lists, compliance tables

Use case: Build traceable requirement records

Supplier & Material Documents

Captures: Certificates, material properties, approvals

Use case: Accelerate supplier onboarding

Legacy & Scanned Documents

Captures: Older drawings, scanned reports via OCR

Use case: Convert archives into searchable knowledge

Key Benefits

Why DocSense

DocSense delivers enterprise-grade extraction with deterministic, traceable results — and optional AI where it adds value.

Any document type

PDF, Word, Excel, PPT, email, image.

Template-driven extraction

Per document category.

Enterprise automation

Via Extraction Commands.

Pluggable AI

For template selection, schema mapping, and code generation.

Smart / Fast / Accurate modes

For speed vs. accuracy.

Embeddable Studio

Inside PLM/ERP systems.

AI-ready output

Structured JSON for RAG, search, analytics.

Bulk processing

Via CLI for ingestion pipelines.

Supported Formats

Supported File Formats

Our application now supports the following file formats for document conversion and processing:

21file formats
across 5 categories

  • Documents

    4 formats

    .doc.docx.rtf.odt

  • Spreadsheets

    4 formats

    .xls.xlsx.xlsm.csv

  • Presentations

    4 formats

    .ppt.pptx.pps.ppsx

  • CAD drawings

    2 formats

    .dwg.dxf

  • Images

    7 formats

    .SVG.PNG.JPEG.TIFF.BMP.GIF.WebP
What It Does

Core Capabilities

  • Multi-format ingestion with raster/vector detection

  • Extraction of fields, text, tables, lists, drawing views, dimensions, callouts, pictures

  • Dedicated engineering drawing support

  • Template-driven region configuration

  • Automated extraction via commands (Python or AI prompts)

  • Reasoning models for auto-mapping backend schemas

  • Smart/Fast/Accurate extraction modes

  • Plugin architecture for any PLM/ERP host system

Visual environment

DocSense Studio

DocSense Studio is the visual environment for interactive extraction and loading.

What Studio Enables

  • Upload documents
  • Create extraction regions
  • Auto-detect region types
  • Assemble and map extracted values
  • Preview structured output
  • Validate before loading
  • Embed Studio inside host applications

Admins define

  • Extraction Templates
  • Region types, colors, styles, tables, columns
  • Extraction Commands (Python or AI-generated)
DocSense overview of the unstructured data challenge
Optional AI

AI Models in DocSense

AI enhances automation without compromising determinism.

Vision Models

  • Extract regions based on region type

Reasoning Models

  • Auto-select extraction templates
  • Auto-map backend schemas
  • Power the Coding Agent to generate Python extraction scripts

AI is optional — if no models are registered, DocSense runs in deterministic mode.

Engine Modes

DocSense Engine Modes

Three processing modes optimize speed vs. accuracy:

Recommended

Recommended

Smart Mode

Balanced speed + accuracy; selective OCR/ML.

Heuristic Only

Fast Mode

No OCR/ML; ideal for digital PDFs and large batches.

Full OCR + Layout ML

Accurate Mode

Best for scanned PDFs, invoices, forms, drawings.

Summary

Why This Framework Stands Out

DocSense provides a unified, governed, AI-optional framework for turning unstructured documents into structured, traceable, enterprise-ready data.

  • Handles every document type
  • Template-driven extraction
  • Studio + Server + Engine deliver full EAL flow
  • Commands automate extraction and mapping
  • AI models enhance template selection and schema mapping
  • Smart/Fast/Accurate modes optimize performance
  • Embeds into any PLM/ERP system
  • Outputs structured JSON for RAG and analytics

Make your documents work as data

Bring structured, validated, traceable information into your enterprise systems and AI workflows.

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