Create models in seconds
Upload a bank statement and watch as Affinda instantly predicts the data fields you want to extract, helping you automate bank statement processing in just a few clicks.
How to automate bank statement processing with Affinda's AI
- 1
Upload your bank statements, your way
Email, drag and drop or connect via API.
- 2
Watch as it extracts your bank statement data
Affinda's AI reads your bank statements 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 bank statement or document 
Cleanse and transform data
Affinda automatically converts extracted transaction data into the format your accounting software, loan platform or compliance system expects – ready for immediate use. Need something specific? Describe your output structure in plain language and Affinda adapts to match.
Apply business logic
Use natural language to write validation rules and apply your business logic to bank statement data. This ensures accuracy, supports compliance requirements and enables straight-through processing for reconciliation and analysis.
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 bank statement processing?
Bank statement processing is the workflow organizations use to extract, validate and analyze transaction data from bank statements. Our AI bank statement processing software automates this entire process to eliminate manual data entry, reduce errors and accelerate reconciliation. It captures account details, transaction histories, balances and reference numbers – ensuring accurate financial reporting and seamless integration with your accounting software, lending systems and analytics platforms.
What is bank statement data extraction?
Bank statement data extraction is the process of capturing and pulling key financial data from bank statements (such as account details, transaction dates, amounts, balances and reference numbers). Our AI platform automates bank statement data extraction, transforming unstructured documents into structured, accurate data ready for your accounting systems, loan platforms and financial workflows.
What is bank statement extraction?
Bank statement extraction is the automatic capture of key financial data from bank statements using AI. Our bank statement extraction software combines reading order models, OCR, LLMs, RAG and more to convert unstructured statements into structured data with high accuracy and faster processing times.
What is a bank statement parser?
A bank statement parser is a tool that automatically reads and extracts data from bank statements. It converts unstructured financial documents into structured, usable formats that integrate seamlessly with your systems. Our AI bank statement parser adapts to different layouts and formats, learning from each interaction to deliver consistent accuracy – no matter the source or structure.
What is bank statement line extraction?
Bank statement line extraction captures individual transaction rows from your statement tables, preserving the relationships between dates, descriptions, amounts and running balances. Our platform handles complex transaction tables with precision – from simple layouts to grouped transactions and multi-page statements – converting each line into structured, actionable data ready for reconciliation and analysis.
What data fields can Affinda's AI bank statement processing software extract?
Affinda's AI bank statement processing software can extract data from any field on your statements – both standard fields and custom ones unique to your workflow. Standard data fields include:
Statement Details
- Account Holder Name: Individual or organization name associated with the account.
- Account Number: Unique account identifier in any domestic or international format.
- Bank Branch / Bank Name: Issuing bank's name and branch location details.
- Statement Period: Start and end dates of the reporting period.
- Opening Balance / Closing Balance: Account balance at the start and end of the period.
- Currency: The currency denomination of the account.
Transaction Lines
- Transaction Date: The date each transaction was posted or processed.
- Transaction Description: Descriptive text explaining the nature of each transaction.
- Amount (Debit/Credit): Transaction value, whether outgoing or incoming.
- Running Balance: The account balance after each individual transaction.
- Reference Number: Unique transaction identifier, confirmation code or check number.
- Payee / Merchant: Name of the recipient or merchant when available.
- Transaction Type / Category: Classification of the transaction (withdrawal, deposit, transfer, fee).
- Fees / Charges: Any service fees or charges associated with the transaction.
- Notes / Memo: Additional notes or memo fields attached to transactions.
Other Fields
- Page Number: Page index for multi-page statements.
- Account Holder Address: Registered address of the account holder.
- Bank Contact Information: Bank's contact details such as address or phone number.
Need something specific to your statements? Define custom fields directly in the platform – using the UI or simple natural language – and Affinda will extract them automatically.
What file types does Affinda's AI bank statement 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 bank statements and extract bank statement data?
Affinda's AI agents read, extract and validate bank statement data. Our platform is intuitive to set up and easily integrates into your systems. Simply:
- Upload your bank statements 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, loan origination systems or KYC/AML platforms to ensure accuracy.
- Access structured bank statement data directly within your systems.
The result? Faster, more accurate bank statement processing with minimal manual input.
Can Affinda extract data from scanned or image-based bank statements?
Yes. Our AI bank statement 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 bank statement automation platform support?
Our AI bank statement processing platform can automatically detect and process bank statements in 50+ languages, including multilingual bank statements 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 financial systems?
Yes. Our platform integrates with 400+ downstream systems, including accounting software, loan origination systems, KYC/AML platforms, ERPs and BI tools. You can build no-code integrations using our AI integrations agent, or create custom connections using our APIs – whatever fits your bank statement processing workflow best.
What are some examples of AI bank statement workflow automations?
AI bank statement processing helps automate and optimize financial workflows across business units such as:
- Finance and Accounting: Accelerate bank reconciliation by automatically extracting transaction data, account balances and reference numbers from any statement format. Business-rule validation catches discrepancies, duplicate transactions and balance mismatches before they reach your accounting software.
- Lending and Underwriting: Speed up loan decisions with accurate extraction of account holder details, transaction histories and cash flow patterns – automatically feeding structured data into your loan origination systems for faster, more confident underwriting.
- Compliance and Risk: Strengthen KYC and AML checks by capturing and analyzing transaction patterns, account details and reference data across multiple statements – integrating seamlessly with your compliance platforms to improve accuracy and audit readiness.
What is a bank statement OCR data extractor?
A bank statement optical character recognition (OCR) data extractor scans and captures financial information from bank statements, regardless of format or language. Upload statements in PDF, JPG or PNG formats. The OCR technology first converts the documents into a text layer, ensuring all text (even from scanned documents or photographs) is captured. Affinda's AI models then identify and extract key fields such as account holder details, account numbers, transaction dates, descriptions, amounts, running balances and reference numbers, transforming them into structured, usable data.
This automation eliminates manual data entry, reduces errors and accelerates processing times. Once the bank statement data is captured and structured, our AI bank statement processing pipeline can apply business-rule validation and post-processing to enable seamless integration with accounting software, loan origination systems, KYC/AML platforms, ERPs and BI tools.
Organizations across banking, finance, accounting, lending and fintech rely on Affinda's AI for bank reconciliation, loan underwriting, compliance checks and financial analysis – streamlining workflows and improving accuracy across their operations.