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, segment reports, and financial statements.

How does the AI ensure accuracy?

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

Can I export the table to Excel or my financial model?

Yes. Export as CSV, Excel, or JSON for direct integration. We also offer webhook integrations for automated workflows.

Is source verification available for every data point?

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

How does this differ from a generic table extractor?

Unlike generic tools that just copy numbers, we output a structured segment table with predefined financial fields, period alignment, company-reported segment names, and source linking. This makes the data immediately actionable for equity research, FP&A, audit, and financial modeling.

Turn Segment Disclosures into Structured, Source-Verified Financial Tables

Upload 10-Ks, 10-Qs, annual reports, quarterly reports, or financial statements. Let AI extract segment names, revenue, prior-period revenue, revenue growth, operating income, operating margin, assets, reporting periods, and other disclosed segment metrics—with one-click traceability to the exact line item or sentence in the original document.

AI segment extractionStructured table outputSource-grounded verification

Why AI-powered segment revenue extraction transforms financial analysis workflows

Source-Grounded Segment Extraction

Every data point—segment name, revenue, prior-period revenue, revenue growth, operating income, operating margin, assets, and reporting period—is linked to the exact line item or sentence in your original document. Click any cell to see the source context—critical for audit, compliance, and investment research.

Structured Data Ready for Systems

Output is a clean table (CSV, Excel, JSON) with all key segment financial fields: segment name, segment type or geography, revenue, prior-period revenue, revenue growth, operating income, operating margin, assets, and reporting period. Directly import to Excel, BI tools, financial models, or reporting systems.

Automatic Segment Mapping & Period Alignment

AI identifies and normalizes segment data even from complex disclosures—preserving company-reported segment names and metric definitions while aligning comparable periods where possible. Reduces manual data entry and eliminates transcription errors.

How to generate a structured segment revenue table in 4 steps

1. Upload your financial document

Upload 10-K, 10-Q, annual reports, quarterly reports, financial statements, or even scanned PDFs (OCR supported). You can also paste raw text directly.

2. AI scans for segment financial data

Our AI detects segment names, segment type or geography, revenue, prior-period revenue, revenue growth, operating income, operating margin, assets, reporting periods, and other disclosed segment metrics—using natural language understanding tailored to financial reporting.

3. Review and verify each field

The generated table displays each data point with a source button. Click it to highlight the original line item in your document—ensuring full traceability for audits, research, and quality assurance.

4. Export and integrate

Export as CSV, Excel, or JSON. Directly integrate with Excel, Google Sheets, BI platforms, or financial models via API, or copy the structured table into your workflow.

Built for accuracy, auditability, and speed in segment financial analysis

Extract from complex segment disclosures

Handles varying formats—10-K, 10-Q, annual reports, quarterly reports, financial statements, and multi-page PDFs. AI reliably extracts structured segment data even from inconsistent layouts, footnotes, and tabular disclosures.

Source verification at the data point level

Each field—from segment name to revenue growth and operating margin—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 cell in the segment revenue table and instantly jump to the corresponding line item in your financial report—perfect for audits, investment research, and internal reviews.

Human-in-the-loop refinement

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

AI Segment Revenue Extractor vs Manual Segment Data Entry

Manual Data Extraction

• Hours of reading lengthy reports and segment footnotes
• Prone to missed or misread segment figures
• No traceability to source
• Spreadsheet errors and inconsistent period alignment

Gentables AI Segment Revenue Extractor

✓ Data extracted in minutes
✓ Captures every key segment field accurately
✓ Source-grounded verification
✓ Standardized table ready for financial systems

Who benefits from AI-extracted segment revenue tables?

Equity Research & Investment Analysts

• Compare segment revenue growth and operating margins

• Analyze business mix and geographic exposure

• Speed up financial model preparation

Corporate Strategy & FP&A Teams

• Monitor segment performance and trends

• Align comparable periods across disclosures

• Reduce manual data entry errors

Audit & Compliance Teams

• Maintain audit trails of segment disclosures

• Verify data accuracy against source documents

• Ensure regulatory adherence with traceable evidence

Turn Segment Disclosures into Structured, Source-Verified Financial Tables