Create models in seconds
Upload a check and watch as Affinda instantly predicts the data fields you want to extract, helping you automate check processing in just a few clicks.
Bank check extraction
Production-grade document AI for bank checks. Describe your workflow. Affinda handles the rest.
How to automate bank check processing with Affinda's AI
- 1
Upload your checks, your way
Email, drag and drop or connect via API.
- 2
Watch as it extracts your bank check data
Affinda's AI reads your bank checks 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 check or document
Cleanse and transform data
Affinda automatically converts extracted check data into the format your banking, payment or accounting system needs – ready for immediate processing. Want custom output? Just describe how you need the data structured, and Affinda adapts to match.
Apply business logic
Write validation rules in plain language and apply your business logic to the extracted data. This ensures accuracy, reduces fraud risk and enables automated check processing without manual review.
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.
Sign up for free
No sales calls, no credit cards and no hidden features. Get all the power in your hands from day one.
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 bank check processing?
Bank check processing is the workflow financial institutions use to capture, extract and validate data from checks – including account details, amounts, dates, payees and signatures. Our AI bank check data extraction software automates this entire process to reduce fraud risk, speed up clearing times and improve reconciliation accuracy. It ensures payments are verified and recorded correctly across core banking and accounting systems.
What is bank check data extraction?
Bank check data extraction is the process of reading a check and capturing the essential data points (such as check numbers, account holders, amounts, dates, payees and signatures). Our platform uses advanced AI to automate bank check data extraction, handling both handwritten and printed fields to turn unstructured documents into structured data ready for your core banking, payment and accounting systems.
What is bank check extraction?
Bank check extraction is the automated capture of essential data from checks using AI. Our bank check extraction software combines reading order models, OCR, LLMs, RAG and more to process handwritten and printed fields with exceptional accuracy and speed across your payment workflows.
What is a bank check parser?
A bank check parser is a software tool that reads checks and extracts key data automatically. It converts both handwritten and printed checks into structured, machine-readable formats ready for your systems. Our AI bank check parser learns from every check it processes, adapting to different formats, layouts and handwriting styles while delivering the exact output structure your banking and payment systems require.
What is bank check line extraction?
Bank check line extraction captures key data fields from checks – such as routing numbers, account numbers, check numbers and amounts and dates – and structures them into a machine-readable format. Our AI processes these fields with precision, preserving the relationships between data points to ensure accurate integration with your banking and payment systems.
What data fields can Affinda's AI bank check processing software extract?
Affinda's AI bank check processing software can extract data from any field on a check – whether handwritten or printed. Standard data fields include:
Core Check Details
- Check Number: Unique identifier printed on each check for tracking and reconciliation.
- Date: The date the check was written or issued, in any format.
- Check Type: Personal, business, cashier's or traveler's check classification.
- Currency: The currency in which the check amount is denominated.
Payment Information
- Payee Name: The person or organization receiving payment – extracted from the "Pay to the Order of" line.
- Amount (Numeric): The payment amount in numeric format, including cents.
- Amount (Written): The spelled-out payment amount, often handwritten.
- Memo / Reference: Optional note describing the payment purpose or invoice reference.
Bank & Account Details
- Account Holder Name: Name of the person or business that owns the checking account.
- Bank Name: The financial institution on which the check is drawn.
- Bank Address / Branch: Location details of the issuing bank or branch.
- Routing Number (ABA): Nine-digit code identifying the bank for processing.
- Account Number: The payer's unique checking account identifier.
- MICR Line: Full magnetic ink character recognition line containing routing, account and check numbers.
Signatures & Verification
- Primary Signature: The authorized signature of the account holder or signatory.
- Co-Signer / Additional Signatures: Secondary signatures when multiple signatories are required.
- Endorsements: Signatures and stamps on the back of the check during deposit or clearing.
- Auxiliary On-Us Field: Additional processing codes or identifiers used by banks.
Need to capture custom fields or match a specific check template? Define them in the UI or describe what you need in plain language and Affinda will extract and structure them automatically.
What file types does Affinda's AI bank check 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 checks and extract bank check data?
Affinda's AI agents read, extract and validate bank check data. Our platform is intuitive to set up and easily integrates into your systems. Simply:
- Upload your checks 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 core banking, payment and accounting systems to ensure accuracy.
- Access structured bank check data directly within your systems.
The result? Faster, more accurate bank check processing with minimal manual input.
Can Affinda extract data from scanned or image-based bank checks?
Yes. Our AI bank check 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 check automation platform support?
Our AI bank check processing platform can automatically detect and process bank checks in 50+ languages, including multilingual checks 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 core banking, payment and accounting systems?
Absolutely. Our AI bank check processing platform integrates with 400+ downstream systems, including core banking platforms, payment processors and accounting software. You can build no-code integrations using our AI integrations agent, or create custom connections with our APIs – whatever works best for your workflow.
What are some examples of AI bank check workflow automations?
AI bank check processing helps automate and optimize payment workflows across financial operations such as:
- Banking and Check Processing Teams: Speed up check clearing and deposit processing by extracting all check details – handwritten amounts, signatures, routing numbers and account data – with exceptional accuracy. Business-rule validation catches duplicate check numbers, date mismatches and amount discrepancies before they enter your systems.
- Fraud Prevention and Risk Teams: Detect fraudulent checks faster by automatically validating signatures, verifying account details against known patterns and flagging suspicious amounts or alterations for review.
- Finance and Accounting Teams: Feed structured check data directly into your accounting systems to streamline reconciliation, improve audit trails and reduce manual data entry across payroll and payment workflows.
What is a bank check OCR data extractor?
A bank check optical character recognition (OCR) data extractor scans and captures information from checks with exceptional accuracy, handling both handwritten and printed fields. Upload check documents in PDF, JPG or PNG formats. The OCR technology converts the documents into a text layer, ensuring all text (including handwritten amounts, signatures and account details) is captured. Affinda's AI models then identify and extract key fields such as check numbers, dates, payee names, amounts (numeric and written), bank details, routing numbers, account numbers and signatures, transforming them into structured, usable data.
This automation eliminates manual data entry, reduces errors and speeds up payment processing. Once the check data is captured and structured, our AI bank check processing pipeline can apply machine validation and post-processing to enable seamless integration with core banking, payment and accounting systems.
Banking, finance, payroll and payment processing organizations rely on Affinda's AI for check clearing, fraud detection and reconciliation workflows, improving accuracy and operational efficiency.