Document type
Financial Statement Analysis
Transform financial documents into structured data with AI that understands accounting context.
At a glance
Extract and analyze data from income statements, balance sheets, and cash flow statements. OdysseyGPT handles financial statements with citation-backed extraction, workflow-ready outputs, and review paths for low-confidence cases.
Key Takeaways
- Common extraction targets include Revenue and income items, Assets and liabilities, Cash flow categories.
- Automatically identify income statements, balance sheets, and cash flow statements.
- Extract financials for loan underwriting and credit decisions.
Common fields
- Revenue and income items
- Assets and liabilities
- Cash flow categories
- Equity components
- Notes and disclosures
- Comparative periods
Processing capabilities
- Statement Classification: Automatically identify income statements, balance sheets, and cash flow statements.
- Line Item Mapping: Map extracted items to standardized financial taxonomies (US GAAP, IFRS).
- Ratio Calculation: Automatically calculate key financial ratios from extracted data.
- Period Comparison: Extract and align multi-period data for trend analysis.
- Footnote Extraction: Parse financial statement footnotes and disclosures.
- Audit Opinion Capture: Extract auditor information and opinion type.
Questions answered
What should teams extract from financial statements?
Start with Revenue and income items, Assets and liabilities, Cash flow categories, Equity components, then expand into workflow-specific fields as your downstream systems require more structure.
What are the common risks when automating financial statements?
Automatically identify income statements, balance sheets, and cash flow statements. Map extracted items to standardized financial taxonomies (US GAAP, IFRS).
What is the recommended automation flow?
Ingest the document, extract the fields that matter, route low-confidence outputs for human review, and publish the validated output into the target workflow or system of record.