Combine the best of artificial and human intelligence
accuracy in information extraction
years of IP combined with the latest AI innovations
documents processed
languages, supporting customers globally

Upload a document and Affinda will predict the information you want to extract, letting you automate document processing in just a few clicks.

Affinda automatically transforms data into a format your business system recognizes, ensuring extracted information is ready for downstream processing. Have a bespoke need? Use natural language to describe how you want the data to appear.

Write validation rules in natural language to apply your business logic to the data. This will ensure the output meets your organization’s requirements and enable straight-through processing.
Non-developers can create integrations with ease. Choose from 400+ downstream systems and describe how you want the integration to work, using natural language. Affinda’s AI agent will write custom code to connect to your downstream system.
Developers can easily connect Affinda with their systems using our client libraries. Automatically generate type-safe Pydantic models or TypeScript interfaces tailored to your needs.
accuracy in information extraction
years of IP combined with the latest AI innovations
documents processed
languages, supporting customers globally
Gain all the features from day one. With a free trial, discover how easy it is to extract any information from any document, fast.

Affinda has removed the laborious workload from our accounts staff, who now focus on quality assurance and management of any outliers.
- Nathaniel Barrs, CTO, PSC Insurance
reduction in manual work
more invoices processed with no added staff
Enhanced auditability and tracking of invoice approvals

Customer satisfaction is always our top priority, and Affinda has helped us achieve that by eliminating phone calls, manual handling, and delays.
- Jorg Both, Head of Business Systems, Northline
proof of delivery documents processed annually
of documents straight-through processed in the first weeks
Automatic validation of documents against ERP system

Affinda's ongoing improvements in its AI models demonstrate its innovative approach in Document AI.
– Michael Zhao, AI Product Manager, SEEK

Affinda’s support and expertise were invaluable… The experience working with Affinda was excellent.
- Nick Tran, Business Analyst, StateCover Mutual
documents processed annually
different document types
Enhanced auditability and tracking of invoice approvals

The results have spoken for themselves. I recommend Affinda to anyone looking to enhance their product or business with AI capability.
- Steve O’Keeffe, CTO, Felix
reduction in manual data input
reduction in compliance data errors
compliance documents processed annually
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.
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.
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.
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.
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.
Affinda's AI balance sheet processing software can capture data from any field on a balance sheet. Standard data fields include:
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.
Our AI agents can process any file type.Supported file types include PDF, JPG/JPEG, PNG, TIFF, DOC/DOCbalance sheet (Word), balance sheetLSbalance sheet (Excel), HTML and Tbalance sheetT/CSV.
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:
The result? Faster, more accurate balance sheet processing with minimal manual input.
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.
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.
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.
AI balance sheet processing helps automate and streamline financial workflows across teams including:
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.