Turn DCF Models into Structured, Source-Verified Assumptions Tables
Why AI-powered DCF assumptions extraction transforms valuation workflows
Source-Grounded Assumptions
Every DCF assumption (revenue growth, WACC, terminal growth, etc.) is linked to the exact sentence or cell in your original valuation document. Click any cell to see the source context—critical for audit, compliance, and investment confidence.
Structured Data Ready for Systems
Output is a clean table (CSV, Excel, JSON) with all key DCF assumptions organized by category: growth, margins, taxes, capital expenditures, working capital, discount rate, terminal value, and forecast period. Directly import to Excel, BI tools, or valuation models.
Automatic Field Mapping & Validation
AI identifies and normalizes DCF assumptions even from complex models—handling varying formats, currencies, and calculation methodologies. Reduces manual data entry and eliminates transcription errors.
How to generate a structured DCF assumptions table in 4 steps
1. Upload your valuation document
Upload valuation reports, financial models (Excel, PDF), investment memos, or even scanned PDFs (OCR supported). You can also paste raw text directly.
2. AI scans for DCF assumptions
Our AI detects revenue growth rates, gross/operating margins, tax rate, capital expenditures, working capital changes, WACC, terminal growth rate, forecast period, and other valuation assumptions—using natural language understanding tailored to financial modeling.
3. Review and verify each assumption
The generated table displays each assumption with a 'source' button. Click it to highlight the original line item or sentence in your document—ensuring full traceability for audits and quality assurance.
4. Export and integrate
Export as CSV, Excel, or JSON. Directly integrate with Excel, Google Sheets, or BI platforms via API, or copy the structured table into your valuation model or investment memo.
Built for accuracy, auditability, and speed in valuation analysis
Extract from complex valuation models and reports
Handles varying formats—Excel models, PDF valuation reports, investment memos, and multi-page documents. AI reliably extracts structured assumptions even from inconsistent layouts and calculation notes.

Source verification at the assumption level
Each assumption—from revenue growth to WACC—can be traced back to the original text or cell. Disagree with an extraction? See the exact words or numbers that triggered it.

Interactive highlighting in source document
Click any cell in the assumptions table and instantly jump to the corresponding section in your valuation document—perfect for audits, investment committee reviews, and training.

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

AI DCF Assumptions Extractor vs Manual Data Entry
Manual Data Extraction
- • Hours of reading lengthy valuation reports and models
- • Prone to missed or misread assumptions
- • No traceability to source
- • Spreadsheet errors and inconsistency
Gentables AI DCF Assumptions Extractor
- ✓ Assumptions extracted in minutes
- ✓ Captures every key assumption accurately
- ✓ Source-grounded verification
- ✓ Standardized table ready for systems
Who benefits from AI-extracted DCF assumptions?
Investment Banking & M&A Teams
• Accelerate valuation review and due diligence
• Ensure no critical assumption is overlooked
• Improve consistency across deal models
Equity Research Analysts
• Quickly extract assumptions from coverage models
• Validate DCF inputs and scenarios
• Reduce manual data entry errors
Private Equity & Investment Managers
• Review target company DCF assumptions
• Benchmark against internal models
• Support investment committee decisions with traceable data



