Updated March 4, 2026 · 5 min read

How to Extract Financial Statement (10-K) Data from PDF to JSON

To extract data from a financial statement (10-k) PDF into JSON (JavaScript Object Notation), upload the document to PullPDF and describe what you need in plain English. PullPDF's AI reads the entire document, identifies revenue, cost of goods sold, operating expenses, and exports a clean .json file — ready to use in API integration. No templates, no manual field mapping, no code. Works with any financial statement (10-k) format from any source.

Try It Free — 10 Pages

Why Extract Financial Statement (10-K) Data to JSON?

Analysts comparing companies need to extract financial data from dozens of 10-K filings into standardized spreadsheets. Each company uses slightly different formatting and line item names. JSON preserves hierarchical data structure — nested objects, arrays, key-value pairs. Ideal for feeding extracted PDF data into APIs, web applications, or NoSQL databases like MongoDB. By converting 10-K annual reports, income statements, and balance sheets from PDF to JSON, you eliminate manual data entry and get structured, usable data in seconds instead of minutes.

Key Data

Metric	Value	Source
Manual extraction time	15-30 min per filing	Industry average
PullPDF extraction time	5-15 seconds	PullPDF benchmark
Financial Statement (10-K) volume	Over 8,000 public companies file 10-K reports with the SEC annually	SEC EDGAR, 2024
Cost per page (PullPDF)	$0.02-0.14	PullPDF pricing
Manual data entry error rate	1-5%	IOFM, 2024

How to Do It with PullPDF

Upload your financial statement (10-k) PDF

Drag and drop your financial statement (10-k) PDF into PullPDF. Supports native PDFs, scanned documents, and image-based files up to 300 pages. You can upload multiple financial statements at once for batch extraction.

Describe what to extract

Write a prompt like: "Extract all financial tables: income statement (revenue, COGS, operating expenses, net income), balance sheet (assets, liabilities, equity), and cash flow statement. Organize by fiscal year." — PullPDF's AI understands the document structure and extracts exactly what you specify.

Download your JSON file

Preview the extracted data, then download as JSON (JavaScript Object Notation). Open directly in any code editor, API testing tool, or application.

PullPDF vs. Alternatives for Financial Statement (10-K) to JSON

Feature	PullPDF	Manual	Other Tools
Setup time	None — instant	N/A	10-30 min config
Time per document	5-15 seconds	15-30 min per filing	1-3 minutes
Handles format variations	Yes — AI adapts	Slowly	Needs new template
Scanned PDFs	Yes	Very slow	Limited
Batch processing	Yes — multi-upload	One at a time	Usually yes
Accuracy	High (AI verification)	Error-prone (1-5%)	Medium

Pro Tips

Be specific in your prompt — mention the exact fields you want from your financial statement (10-k): revenue, cost of goods sold, operating expenses, net income, total assets, total liabilities, shareholders equity, and cash flow figures.

For batch processing, upload all your financial statements at once and use the same prompt — PullPDF applies it consistently to every document.

Specify your desired JSON structure in the prompt for nested output that matches your API schema.

If a financial statement (10-k) has tables that span multiple pages, PullPDF automatically merges them into one continuous table.

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Upload your document and extract to JSON in seconds. 10 free pages, no credit card.

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Frequently Asked Questions

How do I convert a financial statement (10-k) PDF to JSON?

Upload your financial statement (10-k) to PullPDF, write a prompt describing the data you need (like "Extract all financial tables: income statement (revenue, COGS, operating expense..."), and download the .json file. Takes under 15 seconds.

Can PullPDF handle financial statements from different sources?

Yes. PullPDF uses AI to understand document content, not fixed templates. It works with financial statements from any source, regardless of layout, formatting, or design differences.

What data can I extract from a financial statement (10-k)?

PullPDF can extract revenue, cost of goods sold, operating expenses, net income, total assets, total liabilities, shareholders equity, and cash flow figures — essentially any structured data visible in the document. Describe what you need in your prompt.

Is the extraction accurate for financial statements?

PullPDF uses Claude AI (by Anthropic) for document understanding, achieving high accuracy on financial statements. It's especially strong with well-formatted documents and standard layouts.

Can I extract data from scanned financial statements?

Yes. PullPDF handles scanned and image-based PDFs. The AI reads the visual content and extracts structured data just like it would from a digital PDF.

Is there a free financial statement (10-k) PDF to JSON converter?

PullPDF offers 10 free pages — no credit card required. Upload your financial statement (10-k), describe what you need, and download JSON output for free.