What is data traceability?

Data traceability is the ability to track where data comes from, how it was extracted or transformed, and how it is connected to its original source.

What is document traceability?

Document traceability shows the relationship between extracted information and the original documents, pages, and evidence that produced the data.

What is data lineage?

Data lineage provides a complete history of data movement, including its source, transformations, and final output.

Can I audit extracted data?

Yes. Gentables allows teams to audit extracted data by connecting values with source documents and evidence trails.

How is this different from data verification?

Data verification checks whether extracted data is correct. Data traceability focuses on understanding the origin, history, and lineage of data.

Trace Every Data Point Back to Its Source

Build complete data traceability from documents to extracted tables. Track source evidence, understand data lineage, and create audit-ready records for AI-generated data.

Complete data lineageSource evidence trackingAudit-ready data trails

How data traceability works

1. Upload source documents

Import PDFs, images, spreadsheets, or other documents containing business information.

2. Extract structured data

Convert documents into tables or structured datasets while preserving source references.

3. Build data lineage

Automatically connect extracted fields with their original document locations and evidence.

4. Review source relationships

Explore the relationship between documents, extracted values, and generated datasets.

5. Audit extracted data

Review complete source trails to support compliance, reporting, and quality reviews.

6. Export traceable datasets

Export structured data with preserved evidence references and lineage information.

Built for complete data lineage

Document-to-data lineage

Connect extracted tables and structured fields directly to their originating documents and source locations.

Source traceability

Identify exactly which document, page, section, or evidence fragment supports each data point.

AI extraction audit trails

Create transparent records of how AI extracted and transformed information from source documents.

Evidence-linked datasets

Keep structured data connected with supporting evidence for future review and compliance needs.

Why data traceability matters

Without data traceability

× Unknown origin of extracted values
× Difficult to audit AI-generated data
× No clear document history
× Manual investigation required

With Gentables traceability

✓ Complete source lineage
✓ Document-level traceability
✓ Evidence-backed datasets
✓ Audit-ready data history

Make every extracted value explainable

Traceable

Follow every extracted field back through its document source, page location, and supporting evidence.

Transparent

Understand how AI-generated tables are created with clear source references and extraction context.

Auditable

Maintain complete audit trails showing where data originated and how it was transformed.

Common data traceability workflows

Financial & Compliance Data

• Track extracted financial values back to filings and reports

• Support audit reviews with source evidence

• Maintain reliable reporting workflows

Enterprise Document Processing

• Create lineage across contracts, invoices, and reports

• Understand data origins across large document collections

• Improve trust in AI-generated datasets

AI Data Governance

• Audit AI extraction outputs

• Monitor source attribution

• Build transparent AI data workflows

Trace Every Data Point Back to Its Source