Outcome · Document Extraction

EXTRACTX

Every document. Fully verified. 10× more accurate than legacy OCR. ExtractX transforms fragmented document inputs into trusted, structured operational intelligence — built on GroundX's visual document understanding.

Request Curated Demo →

Why it matters

10×

more accurate than legacy OCR on complex enterprise documents

100%

field-level audit trail — every extraction traced to its source

Day one

deploy alongside existing workflows — no rip-and-replace required

ExtractX

Schema-driven extraction, grounded in visual understanding

ExtractX is a document intelligence solution built on GroundX. It automates extraction, validation, and processing of complex enterprise documents — preserving the spatial layout, table structure, and cross-page relationships that legacy OCR discards entirely.

Enterprise documents are not flat text. Invoices, contracts, medical records, and regulatory filings contain tables, handwriting, mixed layouts, and dense visual context. Legacy OCR was not built for them — ExtractX was.

PDFs Scanned images Mixed-layout files Tables & line items Handwriting Multi-page structures

01 · Upload

Any document, any format

PDFs, scans, images, mixed-layout files. GroundX parses structure and re-represents the document for AI comprehension before extraction begins.

PDF, PNG, JPG, TIFF, DOCX
Batch or single-document ingestion
Automatic structure detection

02 · Extract

Schema-driven field extraction

Define the fields you need. ExtractX locates and pulls them across every document in your set — tables, line items, signatures, dates, amounts, and more.

Custom field schemas
Tables, line items, nested structures
Cross-page field resolution

03 · Validate

Built-in reconciliation

Every extracted value is traced back to its source. Human reviewers see the document side-by-side with extracted fields — approve, correct, or escalate with a full audit trail.

Source-linked every field
Human-in-the-loop approval gates
Full field-level audit log

04 · Operate

Downstream integration

Structured output — JSON, CSV, or direct API — pipes into your ERP, CRM, compliance system, or data warehouse. No manual reformatting.

JSON, CSV, direct API output
ERP, CRM, data warehouse connectors
No manual reformatting

Why GroundX wins

What OCR sees vs. what GroundX understands

Most extraction tools treat documents as flat text. GroundX treats them as visual objects — preserving the relationship between labels and values, table cells and their context, page sections and their meaning.

Spatial layout

OCR flattens to a stream of characters, losing the two-dimensional structure of the page.

GroundX preserves x/y position, column alignment, and label–value proximity.

Table structure

OCR reads rows as separate strings with no awareness of which column a value belongs to.

GroundX reconstructs cell relationships, column headers, and spanning cells.

Cross-page context

OCR treats each page independently — tables that span pages, or totals that reference prior rows, are lost.

GroundX maintains context across page boundaries.

Visual ambiguity

Handwriting, stamps, watermarks, and rotated text cause OCR to produce garbled or missing output.

GroundX's visual understanding handles non-standard layouts and handwritten annotations.

Semantic meaning

OCR cannot distinguish a $72,000 figure in a total row from the same value in a footnote reference.

GroundX understands what a value means based on its document context.

Reconciliation

OCR outputs require separate validation pipelines — adding cost and latency before results can be trusted.

ExtractX has reconciliation built in — every value is traced to its exact source location.

How it works

Documents in. Intelligence out.

ExtractX turns unstructured files into structured, context-aware data — ready for AI, instantly. Here's what happens to your document from the moment it's uploaded.

Step 1

Intelligent multimodal parsing

ExtractX combines a vision model with a multimodal model, fine-tuned on nearly one million pages of enterprise documents. It identifies text, tables, images, and diagrams on every page — so even visually dense documents are structured correctly from the start.

Vision model fine-tuned on enterprise document layouts.
Identifies tables, images, diagrams, and mixed-layout pages.
Handles scans, handwriting, and multi-column formats.

Step 2

Semantic object creation

Each identified element is sent through the right processing pipeline. ExtractX generates rich metadata, explains complex objects like tables and graphics, and creates multiple optimized chunk versions — called semantic objects — built for stronger search and extraction.

Rich metadata generated per document element.
Tables and graphics explained, not just transcribed.
Optimized chunk versions for retrieval and extraction.

Step 3

Deep contextualization

In a final context pass, each semantic object is compared against surrounding content and a summary of the full document. This connects related information across pages, reducing downstream hallucinations and dramatically improving retrieval quality.

Cross-page relationship resolution, built in.
Full-document summary used to ground every chunk.
Fewer hallucinations, higher extraction confidence.

Differentiated

Fine-tune to your documents.

ExtractX includes the first and only vision model with fine-tuning capabilities for enterprise-specific document sets. With unified support for source files, multimodal objects, and vectors, it is built for fast, flexible retrieval across the most complex enterprise data.

Fine-tune the vision model on your proprietary formats.
Unified support for source files, objects, and vectors.
Built for complex, high-volume enterprise document sets.

Enterprise-ready

Deploy where your data lives

ExtractX deploys in private cloud, on-premises, or fully air-gapped environments. It slots into existing document workflows without a rip-and-replace.

SOC 2 compliant HIPAA compliant GDPR compliant Private cloud On-premises Air-gapped

Human-in-the-loop gates

Reviewers approve or escalate extractions before they flow downstream — configurable by document type, field confidence, or value threshold.

Field-level audit log

Every extracted value carries a traceable link to the exact passage, cell, or region in the source document. Audit-ready from day one.

No rip-and-replace

ExtractX connects to existing ERP, CRM, and compliance systems via structured JSON, CSV, or direct API — without requiring changes to your downstream pipelines.