Trusted by teams turning documents into production data
Capital Markets
SEC filings contain financial statements, risk disclosures, and business descriptions in structured form. Formats mix narrative with complex tables. Use Sensible to get structured data from 10-Ks, 10-Qs, and other filings for analysis and compliance.
Validated JSON
Schema-enforced output; every field matches your contract
Source coordinates
Every value links back to page + bounding box for audit
Per-document pricing
Predictable cost. No token-volatility surprises
Trusted by teams turning documents into production data
SEC filings run long, mixing narrative disclosure with dense financial tables across reporting periods. We extract the tables, parse the narrative, and align the figures period over period.
01
Subtotals, parenthetical negatives, footnote references: financial tables in SEC filings have complex layouts. The extraction preserves the hierarchical structure, with line items, subtotals, and totals all mapped to the correct level.
02
10-K filings contain pages of risk factors and business descriptions in dense prose. LLM parsing identifies relevant sections and extracts key data points. SenseML rules ensure the output conforms to your schema.
03
Current year, prior year, sometimes three or more periods side by side. Each period's values are extracted separately with the correct year label. No manual column alignment needed.
Managed services
Solutions engineers handle plan, build, deploy, and adjust on your behalf. You see clean JSON in your API response. Same engine as self-serve, just with the configuration work outsourced.
What's included
01Plan.Engineers review your samples and pick the right method
02Build.SenseML configs written from your samples
03Deploy.Same engine as self-serve, ready for production
04Adjust.We update configs when formats shift or new edge cases appear
05Integrate.Help with custom integration into your downstream systems
Every SEC filing is different, so we build the config around your exact schema rather than a fixed list. These are the fields finance teams request most; we map whatever else your financial-analysis pipeline needs.
01
Filing metadata
Company name, CIK number, filing type, filing date, reporting period, auditor name, fiscal year end
02
Financial data
Revenue, net income, total assets, total liabilities, shareholders equity, EPS, cash from operations, and all line items from financial statements
03
Risk and business
Risk factor descriptions, business segment revenue, geographic revenue, executive compensation, related party transactions
config.json
SenseML
{ /* SenseML: SEC filing extraction */
"fields": [
{
"method": {
"id": "queryGroup",
"queries": [
{ "id": "company_name", "description": "registrant name, company name, issuer" },
{ "id": "cik_number", "description": "CIK, central index key, CIK number" },
{ "id": "total_revenue", "description": "total revenue, net revenue, total net revenue" },
{ "id": "filing_date", "description": "filing date, date filed, filed as of" }
// + more fields, mapped to your schema
]
}
}
]
}Sensible processes 10-Ks, 10-Qs, Form ADVs, and other SEC filing types. Hybrid extraction handles both the tabular financial data and the narrative sections within each filing.
Form 10-K (annual report), Form 10-Q (quarterly report), annual financial statements, proxy statements
Form ADV (investment adviser), Form S-1 (registration), Form 8-K (current report), Form DEF 14A (proxy)
Answers about SEC filing types, financial table parsing, and multi-period extraction.
Sensible focuses on extracting data from the rendered PDF version of SEC filings. For XBRL-native data, direct XBRL parsing tools may be more appropriate.
Sensible can be configured to extract from 10-K annual reports, 10-Q quarterly reports, Form ADV, and other financial statements. A pre-built balance-sheet config covers 10-K filings as a starting point, and the fields it pulls are yours to extend or reshape. A filing type that isn't built yet gets a config built for it.
Yes. Sensible extracts balance sheets, income statements, and cash flow tables with line items, amounts, and period labels preserved in structured arrays.
Yes. Sensible sends extraction results to your webhook endpoint when processing completes. You can also poll the API for status.
Yes. Sensible flags extractions with low confidence for human review. You can configure review thresholds and workflows.
Sensible is SOC 2 Type II certified and HIPAA compliant. Data is encrypted in transit and at rest.
Document data is stored indefinitely by default. Custom retention policies are available and can be configured for same-day deletion if needed.
Yes. Sensible offers a 14-day free trial on the Growth plan. No credit card required to start.
Sensible uses per-document pricing for predictable costs. No token-based billing or usage surprises. Volume discounts are available for higher throughput.
Sensible provides REST APIs and SDKs for Python and Node.js. Most integrations take a few hours. Webhooks, Zapier, and direct API calls are all supported.
Sensible processes PDFs (native or scanned), Microsoft Word (DOC, DOCX), spreadsheets (XLSX, XLS, CSV), single-page images (JPEG, PNG), multi-page images (TIFF), and email bodies with attachments.
Accuracy depends on document quality and configuration. Most production deployments achieve 95%+ accuracy with proper validation rules and confidence signals.
Processing speed depends on document size, page count, OCR requirements, and which extraction methods are used. Simple single-page documents process in seconds. Larger or more complex documents that use LLM-based extraction take longer.
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