Create models in seconds
Upload a financial report and watch as Affinda instantly predicts the data fields you need – from balance sheets to cash flow figures – helping you automate financial report processing in just a few clicks.
How to automate financial report processing with Affinda's AI
- 1
Upload your financial reports, your way
Email, drag and drop or connect via API.
- 2
Watch as it extracts your financial report data
Affinda's AI reads your financial reports with impressive contextual understanding. It splits and classifies documents, extracts and validates data, then transforms the output to match your business needs.
- 3
Automatically route the data to your systems
No manual data entry required. Affinda integrates seamlessly into your existing tech stack.
Extract any information from any document, fast
Affinda's AI reads, understands and extracts data from any financial report or document 
Cleanse and transform data
Affinda automatically converts extracted financial report data into the format your accounting software or ERP system needs, ensuring it's ready for immediate use. Need something custom? Use natural language to describe how you want the data structured.
Apply business logic
Write validation rules in plain language and apply your own business logic to ensure figures meet compliance standards and internal thresholds. This guarantees the output is audit-ready and enables straight-through financial report processing.
Combine the best of artificial and human intelligence
1B+ documents processed
10+ years of IP combined with the latest AI innovations
800+ customers
95% reduction in manual processing achieved
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Drag and drop, email or upload via API. Affinda can handle any document, any file type and any layout with ease.See the magic
Watch as the platform predicts the information you want to extract, letting you build models in minutes, not months.Automating their document processes with AI
Frequently asked questions
What is financial report processing?
Financial report processing is the workflow organizations use to capture, extract, validate and analyze data from balance sheets, income statements and other financial documents. Our AI financial report data extraction software automates this process to eliminate manual entry, reduce errors and accelerate reporting cycles. It ensures financial data is accurate, structured and ready for compliance, audits or analysis.
What is financial report data extraction?
Financial report data extraction is the process of identifying and capturing specific data points from balance sheets, income statements, cash flow reports and other financial documents (such as company names, report periods, line items, totals and notes to financials). Affinda's AI platform automates financial report data extraction, handling complex nested tables and multi-section documents to deliver structured, accurate data ready for your accounting systems and analysis workflows.
What is financial report extraction?
Financial report extraction is the automatic capture of key data from balance sheets, income statements and other financial documents using AI. Our financial report extraction software combines reading order models, OCR, LLMs, RAG and more to deliver high accuracy and faster processing.
What is a financial report parser?
A financial report parser is a software tool that automatically reads and extracts data from financial documents and converts them into structured, system-ready formats. Affinda's AI financial report parser handles balance sheets, income statements and cash flow reports in any layout, learning instantly from your corrections to manage nested tables, consolidated accounts and multi-level notes with human-like accuracy.
What is financial report line extraction?
Financial report line extraction captures individual line items from balance sheets, income statements and cash flow reports, preserving the relationships between each row and section. Our advanced table extraction technology handles everything from simple financial statements to complex nested tables with consolidated accounts and multi-level notes.
What data fields can Affinda's AI financial report processing software extract?
Affinda's AI financial report processing software captures data from any field across balance sheets, income statements, cash flow reports and annual reports. Standard data fields include:
Report Metadata
- Company Name / Legal Entity: Full name of the reporting organization or consolidated group.
- Report Period / Fiscal Year: Reporting period covered, including start and end dates or fiscal year designation.
- Report Type: Document classification such as annual report, quarterly statement or consolidated accounts.
- Report Date / Issue Date: Date the financial report was issued or filed.
- Currency / Denomination: Currency and scale used for financial figures (thousands, millions, etc.).
- Auditor Name / Opinion: Auditing firm and their opinion or certification statement.
Balance Sheet Items
- Assets: Current assets, non-current assets, total assets and line-item breakdowns (cash, receivables, inventory, property, equipment, intangibles).
- Liabilities: Current liabilities, non-current liabilities, total liabilities and detailed line items (payables, debt, provisions, deferred tax).
- Equity: Share capital, retained earnings, reserves and total equity.
Income Statement Items
- Revenue / Turnover: Total revenue, sales by segment or geographic breakdown.
- Expenses: Cost of goods sold, operating expenses, depreciation, amortization and interest.
- Profit Metrics: Gross profit, operating profit (EBIT), profit before tax and net profit or loss.
- Earnings Per Share: Basic and diluted EPS figures.
Cash Flow Items
- Operating Activities: Cash from operations, working capital changes and operating cash flow.
- Investing Activities: Capital expenditures, acquisitions, disposals and investment cash flows.
- Financing Activities: Debt raised or repaid, dividends paid, share issuances and financing cash flows.
- Net Change in Cash: Total change in cash position and closing cash balance.
Notes & Disclosures
- Notes to Financials: Multi-level notes, accounting policies, contingent liabilities and commitments.
- Management Commentary: Directors' report, strategic commentary and forward-looking statements.
- Disclosures: Related party transactions, segment reporting, risk disclosures and checkbox-based compliance indicators.
Other Fields
- Page Numbers / Section Identifiers: Page index and section markers for multi-page documents.
- Headers / Footers: Company logos, document identifiers and version numbers.
Need to capture custom fields or specific line items unique to your organization? Define them in the platform or describe them in natural language and Affinda will extract them automatically.
What file types does Affinda's AI financial report processing solution support?
Our AI agents can process any file type. Supported file types include PDF, JPG/JPEG, PNG, TIFF, DOC/DOCX (Word), XLSX (Excel), HTML and TXT/CSV.
How does Affinda process financial reports and extract financial report data?
Affinda's AI agents read, extract and validate financial report data. Our platform is intuitive to set up and easily integrates into your systems. Simply:
- Upload your financial reports via drag-and-drop, email or API.
- Configure business logic to match your organization's rules and workflows.
- Let Affinda check and validate extracted data against your business logic and accounting software, ERP systems, business intelligence tools or compliance platforms to ensure accuracy.
- Access structured financial report data directly within your systems.
The result? Faster, more accurate financial report processing with minimal manual input.
Can Affinda extract data from scanned or image-based financial reports?
Yes. Our AI financial report processing platform combines OCR with retrieval augmented generation (RAG), LLMs, agentic workflows, proprietary reading order algorithms and more, to automatically detect and process data from scanned or photographed invoices (PDF, JPG, PNG). Even low-quality images are automatically enhanced for reliable data capture and processing.
What language does Affinda's AI financial report automation platform support?
Our AI financial report processing platform can automatically detect and process financial reports in 50+ languages, including multilingual financial reports containing more than one language. Supported languages include: Afrikaans, Albanian, Amharic, Arabic (Standard, Egyptian, Sudanese, Algerian, Moroccan, Levantine), Bahasa Indonesian, Bengali, Bhojpuri, Bulgarian, Burmese, Chinese (Mandarin [PRC/Taiwan], Cantonese, Wu, Min Nan, Jinyu, Xiang, Hakka), Croatian, Czech, Danish, Dutch, English, Estonian, Finnish, French, German, Greek, Gujarati, Hebrew, Hindi, Hungarian, Italian, Japanese, Javanese, Kannada, Korean, Latvian, Lingala, Lithuanian, Macedonian, Malayalam, Marathi, Nepali, Norwegian, Odia, Persian (Farsi), Polish, Portuguese, Punjabi (Western and Eastern), Romanian, Russian, Slovak, Slovenian, Somali, Spanish, Swahili, Tagalog, Tamil, Telugu, Thai, Turkish, Ukrainian, Urdu, Vietnamese, Yoruba.
Does Affinda integrate with accounting software and ERP systems?
Yes. Our AI financial report processing platform integrates with 400+ downstream systems, including QuickBooks, Xero, Sage, ERP platforms, business intelligence tools and compliance systems. Build no-code integrations using our AI integrations agent, or create custom connections with our APIs – whatever suits your financial report data extraction workflow.
What are some examples of AI financial report workflow automations?
AI financial report processing helps automate and streamline workflows across finance and audit functions such as:
- Corporate Finance Teams: Extract balance sheet, income statement and cash flow data automatically from any format. Business-rule validation catches discrepancies in totals, consolidated figures and notes to financials, accelerating monthly close and quarterly reporting cycles.
- Audit Firms: Process multi-section annual reports and nested financial tables with high accuracy, cutting audit preparation time. AI adapts to client-specific reporting formats and disclosure requirements.
- Investment Analysts: Feed structured financial data into valuation models and BI tools for faster comparative analysis across portfolio companies, eliminating manual data entry.
What is a financial report OCR data extractor?
A financial report optical character recognition (OCR) data extractor scans and captures information from balance sheets, income statements and annual reports, regardless of format or language. Upload financial report documents in PDF, JPG or PNG formats. The OCR technology first converts the documents into a text layer, ensuring all text (even from scans, photos or multi-page reports) is captured. Affinda's AI models then identify and extract key fields such as company names, report periods, balance sheet items, income statement figures, cash flow data, notes to financials and auditor statements, transforming them into structured, usable data.
This automation eliminates manual data entry, reduces errors and accelerates reporting cycles. Once the financial report data is captured and structured, our AI financial report processing pipeline can apply business-rule validation and post-processing to enable seamless integration with accounting software, ERP systems and compliance platforms.
Organizations across accounting firms, financial services and corporate finance departments rely on Affinda's AI for their audit preparation, financial analysis and regulatory reporting processes, streamlining workflows and improving overall accuracy.