Your data infrastructure begins with document structuring

We use Semantic Artificial Intelligence to extract value from complex files, delivering technical precision across multiple formats. From messy PDFs to production-ready data assets.

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Input
PDF
IMG
SCAN
AI Engine
Semantic AI
Output
XML
JSON
CSV

Output Ecosystem

Export formats designed for immediate integration with your existing infrastructure

</>

Technical XML

For integration with databases and legacy systems. Compatible with data exchange standards like JATS, TEI, and Dublin Core.

JATS TEI Dublin Core

High-Performance HTML

For web publishing and digital accessibility. Semantic structure optimized for SEO and screen readers.

WCAG 2.1 Schema.org
{ }

JSON / API

For software flow automation. Hierarchical structure ready for consumption by modern applications and data pipelines.

REST API GraphQL

CSV / Excel

For auditing and financial analysis. Tabulated data ready for import into BI tools and spreadsheets.

Power BI Tableau

Industry Solutions

Specialized applications for the specific challenges of each sector

Fintech & Logistics

Financial Automation

Extraction of metadata from invoices, bills of lading, and receipts for accounts payable automation and accounting reconciliation.

  • Automatic extraction of corporate IDs, amounts, and dates
  • Validation of electronic invoice access keys
  • Integration with ERPs and accounting systems

Publishing & Academic

International Indexing

Structuring of manuscripts and journals following strict markup and metadata standards for indexing in international databases.

  • Structuring for academic databases (Scopus, PubMed, SciELO)
  • Extraction of references and citations
  • Automatic generation of DOI metadata

Legaltech

Jurimetrics and Consultation

Conversion of lawsuits and petitions into structured consultation databases, enabling semantic searches and predictive analytics.

  • Identification of parties and requests
  • Extraction of cited jurisprudence
  • Classification by area of law

Semantic Validation Layer

Our AI doesn't just read text — it understands the document hierarchy. It identifies titles, authors, values, references, and relationships between elements, validating the structural integrity of the final file.

Structure Validation

Checks if all required elements are present and correctly nested.

Context Inference

Automatically identifies the document type and applies specific extraction rules.

Confidence Report

Every extracted field includes a confidence score for selective human review.

{
  "document_type": "invoice",
  "confidence": 0.97,
  "extracted": {
    "vendor": {
      "name": "Acme Corp",
      "cnpj": "12.345.678/0001-90",
      "confidence": 0.99
    },
    "total": {
      "value": 15750.00,
      "currency": "BRL",
      "confidence": 0.98
    },
    "items": [...],
    "validation": "passed"
  }
}
Semantic validation: Passed

Ready to structure your documents?

Schedule a technical demo and see how our AI can integrate with your infrastructure.

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