Financial Statement to Validated Structured JSON
Transform complex, messy tabular financial data and earnings releases into standardized, machine-readable JSON schemas with mathematical verification.
Customize & Generate Your Prompt
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You are extracting financial statement data into a validated, structured JSON schema. ### Task Specifications - **Filing / Report Type**: Consolidated Statement of Operations / Income Statement (10-K) - **Required Data Fields**: - fiscalPeriod (e.g. "FY2025", "Q3 2025") - currency (e.g. "USD", "INR") - units (e.g. "thousands", "millions") - totalRevenue - costOfRevenue - grossProfit - researchAndDevelopmentExpense - sellingGeneralAdministrativeExpense - operatingIncome - netIncome - earningsPerShareBasic - earningsPerShareDiluted - **Policy for Missing or Not Reported Line Items**: Set value to null with an explanation in _audit.missingFields ### Raw Financial Text / Table ```text CONSOLIDATED STATEMENTS OF OPERATIONS (In millions, except share amounts) Three Months Ended September 30, 2025: Total net sales: $94,930 Cost of sales: $51,120 Gross margin: $43,810 Operating expenses: Research and development: $7,760 Selling, general and administrative: $6,540 Total operating expenses: $14,300 Operating income: $29,510 Other income/(expense), net: ($210) Income before provision for income taxes: $29,300 Provision for income taxes: $4,650 Net income: $24,650 Diluted earnings per share: $1.64 ``` ### Extraction Rules & Constraints 1. **Strict JSON Output Only**: - Output valid JSON only, without conversational preamble or markdown postscripts. 2. **Numerical Accuracy**: - Extract numerical figures as standard numbers (not strings). Preserve exact currency units (e.g. millions vs thousands as specified in the header). - If a number is negative (often in parentheses `(1,234)`), represent it as a negative float/integer (`-1234`). 3. **Reconciliation & Audit Verification**: - Verify that: `Gross Profit = Total Revenue - Cost of Goods Sold` and `Operating Income = Gross Profit - Total Operating Expenses`. - Include an `_audit` metadata object in the JSON documenting any mathematical discrepancies found in the source text.
How to Use & Customize This Prompt
Fill in your target framework, environment rules, or source metrics in the interactive builder above. The assembled template updates instantly.
Click "Copy Prompt to Clipboard". You can copy the full assembled text or copy system instructions separately.
Refer to the Model Guidance below to choose the highest-performing frontier model or local runtime for this specific task.
Paste into your AI coding tool, chat interface, or local Ollama runtime. Verify syntax, types, and schema compliance against expected output.
Workflow Guidance
- Select the financial statement type (e.g. 10-K, 10-Q, Balance Sheet).
- Paste the raw text, OCR transcript, or HTML table directly into the raw data field.
- Copy the output JSON into your automated ingestion pipeline or data analytics notebook.
Representative AI Output
Sample output produced when using frontier AI models with the default parameters:
```json
{
"company": "Acme Corp",
"fiscalPeriod": "Three Months Ended September 30, 2025",
"currency": "USD",
"units": "millions",
"data": {
"totalRevenue": 94930,
"costOfRevenue": 51120,
"grossProfit": 43810,
"researchAndDevelopmentExpense": 7760,
"sellingGeneralAdministrativeExpense": 6540,
"totalOperatingExpenses": 14300,
"operatingIncome": 29510,
"netIncome": 24650,
"earningsPerShareDiluted": 1.64
},
"_audit": {
"mathReconciliation": {
"grossProfitValid": true,
"operatingIncomeValid": true
},
"missingFields": []
}
}
```Pro Optimization & Edge-Case Tips
- Always prompt the model to preserve negative signs when numbers are written inside parentheses like `(210)`.
- Add an `_audit` key in your requested schema so the model self-checks its arithmetic before returning the final JSON.
- Pair this prompt with our Document AI tool for direct PDF and image table parsing.
Recommended AI Models for Financial Extraction & Analysis
Rigorous models with structured JSON guarantees, numerical precision, and zero-hallucination compliance.
OpenAI GPT-4o (Structured Outputs)
Parsing complex balance sheets, cash flow statements, and income statements into validated JSON.
- Guaranteed JSON schema output via constrained decoding grammar
- Flawless extraction of nested sub-line items and parenthetical footnotes
- High precision with multi-currency and negative balance formatting
Claude 3.5 Sonnet
Cross-validating mathematical checksums, auditing disclosures, and detecting hidden risk factors.
- Methodical balance checking (Assets = Liabilities + Shareholder Equity)
- Detailed explanation of non-GAAP reconciliation line items
- Extracts subtle risk disclosures from 10-K management discussions
Google Gemini 1.5 Flash
Bulk processing of mutual fund PDFs, expense ratio comparisons, and portfolio holdings breakdown.
- Ultra-low inference cost for bulk financial document pipelines
- Native multimodal processing of tabular PDF screenshots and charts
- Fast extraction of fund AUM, Sharpe ratios, and beta benchmarks
Copy your assembled prompt and test immediately with approved frontier models or your own API key.
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