Not a point solution. A full document intelligence lifecycle — from ingestion through downstream delivery, powered by agentic AI at every step.
Identifies headers, footers, tables, stamps, signatures, and handwriting zones — regardless of format or layout complexity.
Detects and processes 100+ languages in a single document, including mixed-script content like Arabic headers with English body text.
Determines correct reading sequence across multi-column, nested, and non-linear layouts — no templates needed.
Understands context — knows a "Date" next to a signature differs from a "Date of Birth" in a form. Extracts meaning, not just text.
Self-corrects, cross-references fields, validates data integrity, and flags anomalies autonomously across pages and documents.
PDFs, scans, faxes, photos, handwritten notes, screenshots — any input becomes structured, validated output.
Recent research shows that throwing more reasoning tokens at document parsing doesn't improve accuracy — it actively degrades it. Models that "think harder" hallucinate table cells, split continuous tables into fragments, and fill in blanks with guesses. The problem isn't reasoning. It's architecture.
Vision models map document zones — tables, charts, text blocks, signatures, handwriting — establishing structural boundaries before reading a single character.
Dedicated OCR engines read text at full pixel resolution within each zone. Small text, vertical orientation, and dense tables are captured without compression loss.
Language models organize pre-extracted text into structured fields, tables, and hierarchies. The LLM structures what's already been read — it doesn't transcribe.
Self-correcting agents cross-reference structured output against raw OCR data. Anomalies are flagged, tables are verified, and confidence scores are assigned.
Benchmark methodology informed by OmniDocBench evaluation framework. Quality measured across field accuracy, table structure, and reading order fidelity.
Ingest from API, email, SFTP, cloud storage, or drag-and-drop.
Auto-split bundles, classify by type, language, and urgency.
Map layout regions — tables, charts, handwriting, stamps, signatures.
Pull structured fields, line items, entities, and relationships.
Tag metadata, categorize transactions, normalize currencies and dates.
Cross-check fields across pages and documents. Auto-flag anomalies.
Human-in-the-loop for edge cases. Confidence-based routing and audit trails.
Push clean JSON/XML to your ERP, CRM, LOS via API, webhook, or connector.
Automatic format conversion: Non-PDF documents (Word, PowerPoint, spreadsheets) are intelligently converted before extraction. Layout fidelity is preserved — DocuLexis adapts to font substitutions and page reflows automatically.
Password-protected files: Encrypted PDFs require the password to be supplied via the API. DocuLexis will return a clear error if a locked file is detected.
No file size limits on Enterprise: Starter and Growth plans support files up to 50MB. Enterprise plans handle files of any size via our async job pipeline.
End-to-end encryption at rest and in transit. Your documents never leave your perimeter. On-premise and VPC deployment options available.
Enterprise SSO via SAML 2.0 and OAuth 2.0. Role-based permissions, custom approval workflows, and comprehensive audit trails.
SOC 2 Type II, HIPAA, and GDPR-ready from the ground up. Bank-grade encryption for sensitive document processing.
Test document processing in production-identical environments before deployment. Validate integrations with zero disruption to live workflows.
A named automation architect works with your team — not a generic support ticket. Custom success plans aligned to your deployment goals.
Configurable data retention policies, immutable processing logs, and exportable audit trails for every document that passes through the system.
Vision + language + reasoning in a single pipeline. Self-correcting agents that understand documents the way humans do.
Single-pass multilingual processing. Mixed-script documents — Arabic, English, Chinese on one page — handled natively.
No templates needed. The reading order engine adapts to any layout — multi-column, nested tables, non-linear flow.
HIPAA, SOC 2, GDPR-ready. Built from day one for healthcare, banking, insurance, and life sciences compliance.
RESTful APIs, webhooks, and SDKs. Plug into your ERP, CRM, or custom workflow. Production in days, not months.
Pie charts, bar graphs, line charts, and KPI dashboards converted to structured data — visual intelligence, not just text.
See DocuLexis extract, validate, and structure your hardest documents — live, with our team.