Create models in seconds
Upload a balance sheet and watch as Affinda instantly predicts the data fields you want to extract, helping you automate balance sheet data extraction in just a few clicks.
Balance sheet extraction
Production-grade document AI for balance sheets. Describe your workflow. Affinda handles the rest.
How to automate balance sheet processing with Affinda's AI
- 1
Upload your balance sheets, your way
Email, drag and drop or connect via API.
- 2
Watch as it extracts your balance sheet data
Affinda's AI reads your balance sheets 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 balance sheet or document
Cleanse and transform data
Affinda automatically transforms extracted balance sheet data into the format your accounting or financial systems expect, ensuring it's ready for immediate use. Need something specific? Describe your requirements in plain language and we'll structure the output accordingly.
Apply business logic
Use natural language to write validation rules and apply your business logic to the data. This ensures the output meets your organization's requirements and enables straight-through balance sheet 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
No need to talk to sales. Get started now
With a free trial, discover how easy it is to extract any information from any document, fast.
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Upload documents
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.
Nathaniel Barrs, CTO, PSC Insurance
95%
reduction in manual work
10×
more invoices processed with no added staff
Enhanced auditability and tracking of invoice approvals
Jorg Both, Head of Business Systems, Northline
120,000
proof of delivery documents processed annually
82%
of documents straight-through processed in the first weeks
Automatic validation of documents against ERP system
Michael Zhao, AI Product Manager, SEEK
High accuracy parsing across multiple languages
Improved customer experience thanks to better structured data
Stronger compliance with international data security and software standards
Nick Tran, Business Analyst, StateCover Mutual
300,000
documents processed annually
80
different document types
60%
Enhanced auditability and tracking of invoice approvals
Steve O’Keeffe, CTO, Felix
76%
reduction in manual data input
30%
reduction in compliance data errors
85,000
compliance documents processed annually
Frequently asked questions
What is balance sheet processing?
Balance sheet processing is the workflow finance and accounting teams use to capture, validate and organize financial data from balance sheets – including assets, liabilities, equity and account details. Our AI balance sheet processing software automates this entire process to reduce manual effort, eliminate errors and speed up financial reporting. It ensures data is accurate, structured and ready for accounting systems, audits and compliance workflows.
What is balance sheet data extraction?
Balance sheet data extraction is the process of reading a balance sheet and capturing key financial data points – including assets, liabilities, equity, period and reference numbers. Our platform uses advanced AI to automate balance sheet data extraction, transforming unstructured financial documents into structured data ready for your accounting, audit and financial reporting systems.
What is balance sheet extraction?
Balance sheet extraction is the automatic capture of financial data from balance sheets using AI. Our balance sheet extraction software combines reading order models, OCR, LLMs, RAG and more to convert this information with high accuracy and faster processing times.
What is a balance sheet parser?
A balance sheet parser is a software tool that automatically reads and extracts data from balance sheets into structured, machine-readable formats. Our AI balance sheet parser handles complex tables, multi-page sheets and varying layouts with ease – learning from every interaction to make smarter decisions and transforming balance sheet data into exactly the format your accounting and financial systems need.
What is balance sheet line extraction?
Balance sheet line extraction captures the detailed account data within your balance sheet's structured rows, transforming it into usable formats while preserving the critical relationships between assets, liabilities and equity entries. Our AI interprets financial tables with strong contextual understanding – handling everything from simple line items to complex nested structures with grouped accounts and subtotals.
What data fields can Affinda's AI balance sheet processing software extract?
Affinda's AI balance sheet processing software can capture data from any field on a balance sheet. Standard data fields include:
Assets
- Current Assets: Cash, accounts receivable, inventory and other liquid assets expected to convert to cash within one year.
- Non-Current Assets: Property, plant, equipment, intangible assets and long-term investments.
- Asset Account Names / Numbers: Individual account titles, codes and classification identifiers.
- Asset Values / Balances: Monetary amounts for each asset line item and subtotal groupings.
Liabilities
- Current Liabilities: Accounts payable, short-term debt and obligations due within one year.
- Non-Current Liabilities: Long-term debt, deferred tax liabilities and other obligations beyond one year.
- Liability Account Names / Numbers: Account titles, reference codes and category classifications.
- Liability Values / Balances: Outstanding amounts for each liability line and subtotal groups.
Equity
- Share Capital / Common Stock: Issued and paid-up capital, share classes and par values.
- Retained Earnings: Accumulated profits or losses carried forward from prior periods.
- Reserves / Other Equity: Legal reserves, revaluation surplus and additional equity components.
- Total Equity: Sum of all equity accounts representing ownership interest.
Document Details
- Entity Name / Legal Name: Name of the company or organization issuing the balance sheet.
- Period / As At Date: Reporting date or period end for the financial position.
- Currency: Denomination currency and any presentation scale (thousands, millions).
- Reference Numbers / Document ID: Unique identifiers, version numbers or internal reference codes.
- Comparative Period Data: Prior period balances shown alongside current figures.
Need to extract custom fields or handle unique balance sheet formats? Just define them in the UI or describe what you need in natural language – Affinda will extract and structure them automatically.
What file types does Affinda's AI balance sheet 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 balance sheets and extract balance sheet data?
Affinda's AI agents read, extract and validate balance sheet data. Our platform is intuitive to set up and easily integrates into your systems. Simply:
- Upload your balance sheets 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, audit, and financial reporting systems to ensure accuracy.
- Access structured balance sheet data directly within your systems.
The result? Faster, more accurate balance sheet processing with minimal manual input.
Can Affinda extract data from scanned or image-based balance sheets?
Yes. Our AI balance sheet 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 balance sheet automation platform support?
Our AI balance sheet processing platform can automatically detect and process balance sheets in 50+ languages, including multilingual balance sheets 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 and financial reporting systems?
Yes. Our balance sheet processing platform integrates with 400+ downstream systems, including major accounting, audit, and financial reporting platforms. You can create no-code integrations using our AI integrations agent, or build and host your own using our APIs – whatever works best for your workflow.
What are some examples of AI balance sheet workflow automations?
AI balance sheet processing helps automate and streamline financial workflows across teams including:
- Accounting Teams: Speed up period-end close and financial reporting by automatically extracting assets, liabilities and equity data from any balance sheet format. Business-rule validation flags inconsistencies – catching balance mismatches, missing reference numbers and data entry errors before they reach your systems.
- Audit Firms: Handle multi-client balance sheet reviews with AI that adapts to different accounting standards and formats, improving audit trail accuracy and reducing manual verification time.
- Corporate Finance Teams: Feed structured balance sheet data into consolidation and reporting systems to improve accuracy, ensure compliance and scale financial operations across multiple entities.
What is a balance sheet OCR data extractor?
A balance sheet optical character recognition (OCR) data extractor scans and captures financial data from balance sheets, regardless of format or language. Upload documents in PDF, JPG or PNG formats. The OCR technology first converts the documents into a text layer, ensuring all content (even from scans, photos or complex tables) is captured. Affinda's AI models then identify and extract key fields such as assets, liabilities, equity, period and reference numbers, transforming them into structured, usable data.
This automation eliminates manual data entry, reduces errors and speeds up financial reporting. Once the balance sheet data is captured and structured, our AI balance sheet processing pipeline can apply validation and post-processing to enable seamless integration with accounting, audit, and financial reporting systems.
Organizations in accounting, finance and audit rely on Affinda's AI for their financial reporting, compliance and analysis processes – streamlining workflows and improving accuracy across their operations.