data extraction
What is KeXtract™?
KeXtract™ is an agent-based extraction tool that transforms complex documents into structured, verifiable fields, ready for integration into traditional business workflows.
The current problem
Every day, companies accumulate vast volumes of text documents: invoices, bills, delivery notes, contracts, insurance forms, and historical catalogues. These documents contain critical business information, yet they are unstructured, fragmented across multiple pages, affected by OCR errors, broken tables, and heterogeneous layouts. Extracting accurate information reliably still requires slow, costly and error-prone manual processes.
- Volume: thousands or millions of pages to process
- Variability: formats, languages, varying scan quality
- Ambiguity: multi-page tables, footnotes, layout artefacts
- Risk: extraction errors that propagate corrupted data
Why traditional methods are not enough:
Pure OCR
extracts text but loses structure and visual relationships
Pure LLM
may hallucinate values or attribute information in a non-verifiable manner
Template-based approaches
require continuous maintenance and do not scale across heterogeneous documents
Manual processes
are expensive, slow and unsustainable at scale
Concrete consequences: operational delays, accounting errors, regulatory non-compliance, and missed business opportunities.
How agentic AI solves the problem
The agent-based approach combines vision, structured parsing, and schema-driven extraction to deliver reliable and traceable data.
- Visual parsing: the system preserves document layout and spatial relationships between elements.
- Schema-driven extraction: data is extracted directly into JSON mapped to the domain schema, ready for direct integration.
- REST API: a comprehensive suite of HTTP calls enables full interaction with KeXtract™
- Enterprise scalability: batch processing and cloud architecture ensure smooth integration into existing projects.
Download the examples and integrate the API suite to test extraction in minutes.
Accounting
Extraction of multi-page tables from accounting documents for automatic reconciliation
Industry
Transformation of complex forms into structured JSON output, including detailed line items and numeric values
Legal
Identification and extraction of clauses, as well as references to dates, individuals, and locations
KeXtract™: metrics
Try extraction on your own document.
Download a sample schema tailored to your use case.
Do you have any questions? Write to us at info@kextract.it
