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Upload an account statement and watch as Affinda instantly predicts the data fields you need, helping you automate account statement processing in just a few clicks.
Account statement extraction
Production-grade document AI for account statements. Describe your workflow. Affinda handles the rest.
How to automate account statement processing with Affinda's AI
- 1
Upload your account statements, your way
Email, drag and drop or connect via API.
- 2
Watch as it extracts your account statement data
Affinda's AI reads your account 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 account statement or document
Cleanse and transform data
Affinda automatically converts extracted account statement data into the format your accounting, audit or banking system expects, ensuring it's ready for immediate use. Need something custom? Use natural language to describe how you want the data to appear.
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 account statement 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 account statement processing?
Account statement processing is the workflow organizations use to receive, extract, validate and reconcile data from bank and financial account statements. Our AI account statement processing software automates this entire process to reduce manual effort, errors and processing times. It ensures that transactions, balances and account details are accurate, verified and recorded correctly in accounting, audit and banking systems.
What is account statement data extraction?
Account statement data extraction is the process of reading account statements and extracting key financial data – including account holder details, account numbers, transaction records, balances and reference numbers. Affinda's AI automates account statement data extraction, transforming both digital and scanned statements into structured data ready for your accounting, audit and banking systems.
What is account statement extraction?
Account statement extraction is the automatic capture of key financial data from account statements using AI. Our account statement extraction software combines reading order models, OCR, LLMs, RAG and more to convert statements into structured data with high accuracy and faster processing times.
What is an account statement parser?
An account statement parser is a software tool that automatically reads and extracts data from account statements. It converts statements – digital or scanned – into structured, machine-readable formats. Our AI account statement parser handles multi-page documents, complex tables and grouped transactions with ease, learning from every interaction to deliver precisely formatted output ready for your accounting, audit and banking systems.
What is account statement line extraction?
Account statement line extraction captures transaction-level data from tables within your statements, preserving the relationships between each row. Our platform handles everything from simple transaction lists to complex multi-page statements with grouped entries, converting them into structured data ready for reconciliation and analysis.
What data fields can Affinda's AI account statement processing software extract?
Affinda's AI account statement processing software can extract data from any field on an account statement. Standard data fields include:
Account & Statement Details
- Account Holder Name: Individual or organization name associated with the account.
- Account Number: Unique identifier for the account, including IBAN for international accounts.
- Bank Details: Financial institution name, branch information, SWIFT/BIC code and routing numbers.
- Statement Period: Start and end dates defining the reporting period.
- Opening & Closing Balance: Account balance at the start and end of the period.
- Currency: Account denomination and currency code.
- Statement Date / Issue Date: Date the statement was generated.
Transaction Lines
- Transaction Date / Posting Date: Date the transaction occurred and when it was processed.
- Value Date: Date funds are actually debited or credited to the account.
- Description / Transaction Details: Narrative description of the transaction.
- Reference Number / Transaction ID: Unique identifier or reference code for each transaction.
- Debit Amount / Credit Amount: Transaction values for withdrawals and deposits.
- Balance After Transaction: Running balance following each transaction.
- Payee / Beneficiary: Name of the recipient or payment source.
- Transaction Type / Category: Classification of the transaction such as transfer, payment, or withdrawal.
- Check Number: Cheque reference when applicable.
- Fees & Charges: Service fees, bank charges or interest applied to transactions.
- Foreign Currency Details: Original amount and exchange rate for international transactions.
Other Fields
- Account Holder Address: Customer's registered address when included on the statement.
- Bank Contact Information: Bank's address, phone number and customer service details.
- Page Numbers: Page identification for multi-page statements.
- Statement Number: Unique identifier for the statement document.
Need to extract a field that's not listed here? Define it in the platform using plain language and Affinda will capture it automatically.
What file types does Affinda's AI account 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 account statements and extract account statement data?
Affinda's AI agents read, extract and validate account statement data. Our platform is intuitive to set up and easily integrates into your systems. Simply:
- Upload your account 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, audit or core banking systems to ensure accuracy.
- Access structured account statement data directly within your systems.
The result? Faster, more accurate account statement processing with minimal manual input.
Can Affinda extract data from scanned or image-based account statements?
Yes. Our AI account 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 account statement automation platform support?
Our AI account statement processing platform can automatically detect and process account statements in 50+ languages, including multilingual account 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, audit and core banking systems?
Yes. Our AI account statement processing platform integrates with 400+ systems, including major accounting software, audit platforms and core banking systems. Build no-code integrations using our AI integrations agent, or use our APIs to create custom connections – whatever suits your workflow best.
What are some examples of AI account statement workflow automations?
AI account statement processing helps automate and streamline financial operations across teams such as:
- Accounting and Finance: Speed up reconciliation by extracting transaction data, balances and reference numbers from any account statement format. Validation rules flag discrepancies, missing transactions and balance mismatches before they reach your ledger.
- Audit Services: Support compliance reviews with accurate, structured data from client statements. Our platform handles multi-page statements and complex transaction tables, reducing preparation time and improving audit trail documentation.
- Banking Operations: Feed structured account statement data into core banking systems to improve customer service, enhance reporting accuracy and scale operations without adding headcount.
What is an account statement OCR data extractor?
An account statement optical character recognition (OCR) data extractor scans and accurately captures information from account statements, regardless of format or language. Upload account statement 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 low-quality images) is captured. Affinda's AI models then identify and extract key fields such as account holder details, account numbers, statement periods, transaction lines, balances and reference numbers, transforming them into structured, usable data.
This automation eliminates manual data entry, reduces errors and saves time. Once the account statement data is captured and structured, our AI account statement processing pipeline can apply machine validation and post-processing to enable seamless integration with accounting, audit and core banking systems.
Organizations in banking, finance, accounting and audit services rely on Affinda's AI for their reconciliation, compliance and financial operations processes, streamlining workflows and improving overall accuracy.