What types of financial documents can I upload?

We support PDFs, Word documents, text files, and even scanned images (OCR). This includes 10-K, 10-Q, annual reports, quarterly reports, SEC filings, and financial statements.

How does the AI ensure accuracy?

The AI is trained on financial reporting language and uses contextual understanding to identify footnote details. Every extraction is source-grounded—you can click any field to see the original sentence that supports it, allowing you to verify and correct as needed.

Can I export the summary to my financial system?

Yes. Export as JSON for direct API integration, or as CSV/Excel for import into most systems. We also offer webhook integrations for automated workflows.

Is source verification available for every field?

Absolutely. Each extracted field includes a clickable reference that highlights the exact source sentence in the original financial report—ensuring full traceability and audit readiness.

How does this differ from a generic document summarizer?

Generic tools produce paragraphs. Our tool outputs a structured JSON object with predefined footnote fields, making the data immediately actionable for financial analysis, audit, and compliance. Plus, every field is traceable to the source.

Turn Financial Footnotes into Structured, Source-Verified Disclosures

Upload 10-Ks, 10-Qs, annual reports, or SEC filings. Let AI extract material footnote disclosures—leases, pensions, contingencies, commitments, impairments, accounting policies, and more—with one-click traceability to the exact sentence in the original document.

AI footnote extractionStructured JSON outputSource-grounded verification

Why AI-powered financial footnote extraction transforms financial analysis workflows

Source-Grounded Extraction

Every detail—disclosure topic, item, reported amount, currency, reporting period, terms, accounting treatment—is linked to the exact sentence in your original document. Click any field to see the source context—critical for audit, compliance, and financial research.

Structured Data Ready for Systems

Output is a clean JSON object with all key footnote components: disclosure topic, item or obligation, reported amount, currency and units, reporting period, relevant terms or conditions, accounting treatment, and related context. Directly import to financial systems, audit tools, or analytical models.

Automatic Field Mapping & Context Preservation

AI identifies and normalizes footnote data even from complex disclosures—handling varying formats, units, and accounting conventions. Preserves company-reported details and retains source evidence, reducing manual data entry and transcription errors.

How to generate a structured financial footnotes summary in 4 steps

1. Upload your financial document

Upload 10-K, 10-Q, annual reports, quarterly reports, SEC filings, or financial statements (PDF, Word, text). Scanned PDFs (OCR supported) are also accepted.

2. AI scans for footnote disclosures

Our AI detects disclosure topics (leases, pensions, contingencies, etc.), items or obligations, reported amounts, currencies, reporting periods, terms, accounting treatments, and related context—using natural language understanding tailored to financial reporting.

3. Review and verify each field

The generated JSON summary displays each field with a 'source' button. Click it to highlight the original sentence in your document—ensuring full traceability for audit, compliance, and quality assurance.

4. Export and integrate

Export as JSON, CSV, or Excel. Directly integrate with financial systems, audit platforms, or analytical models via API, or copy the structured summary into your workflow.

Built for accuracy, auditability, and speed in footnote analysis

Extract from complex footnote disclosures

Handles varying formats—10-K, 10-Q, annual reports, SEC filings, and multi-page PDFs. AI reliably extracts structured fields even from dense tables, footnotes, and accounting policies.

Source verification at the detail level

Each field—from disclosure topic to reported amount—can be traced back to the original text. Disagree with an extraction? See the exact words that triggered it.

Interactive highlighting in source document

Click any field in the JSON summary and instantly jump to the corresponding sentence in your financial report—perfect for audits, compliance reviews, and training.

Human-in-the-loop refinement

AI suggests fields, but you remain in control. Edit, add, or remove fields before finalizing the summary. Merge duplicate entries or correct misinterpreted data with ease.

AI Financial Footnotes Extractor vs Manual Data Entry

Manual Review

• Hours of reading lengthy footnotes and disclosures
• Prone to missed or misread details
• No traceability to source
• Inconsistent note-taking and errors

Gentables AI Financial Footnotes Extractor

✓ Summary generated in minutes
✓ Captures every key detail accurately
✓ Source-grounded verification
✓ Standardized JSON ready for systems

Who benefits from AI-extracted financial footnote summaries?

Financial Analysts & Auditors

• Quickly extract lease, pension, and contingency disclosures

• Validate reported amounts and accounting treatments

• Support audit with traceable evidence

Compliance & Regulatory Teams

• Ensure completeness of footnote disclosures

• Verify data accuracy against source documents

• Maintain audit trails for regulatory filings

Corporate Finance & Accounting Teams

• Monitor commitments and contingencies

• Extract key terms for reporting and analysis

• Reduce manual data entry errors

Turn Financial Footnotes into Structured, Source-Verified Disclosures