Automate Bank statements processing | Nanonets Document OCR
Automate Data Extraction from Bank statements
Transform financial processes with automated Bank statements processing with Nanonets. Slash turnaround time, costs & efforts with pre-trained Bank statements OCR model.
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Bank Statements Scanner
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| LABEL | OCR |
|---|---|
| Account holders name | extracted data will appear here |
| Account number | extracted data will appear here |
| Bank name | extracted data will appear here |
| Statement period | extracted data will appear here |
| Starting balance | extracted data will appear here |
| Deposits and credits | extracted data will appear here |
| Withdrawals and debits | extracted data will appear here |
| Ending balance | extracted data will appear here |
| Interest earned | extracted data will appear here |
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Here's why you will love Nanonets
Extract Bank statements data from Emails
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Automated Data Entry
Snap a picture and Nanonets will take care of the rest.
90% straight through processing
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HOW WE CAN HELP
Bank statements OCR usecases with Nanonets
Automate Financial Processes
Automate manual financial services processes to boost productivity, reduce cost and enhance omnichannel customer experiences.
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Intelligent Document Processing
Automate document processes like apporval, storage, data extraction & more with Nanonets OCR workflows. Get access today.
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Automate Data Entry
Stop filling financial data into your systems manually. Automate data entry with easy integrations
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WHAT WE EXTRACT
Fields that can be identified
Here are some fields Nanonets can extract by default. Say goodbye to manual data entry. Additional fields can also be extracted on request.
Account holder's name
Account number
Bank name
Statement period
Starting balance
Deposits and credits
Withdrawals and debits
Ending balance
Interest earned
And many more...
When your business is your passion, don’t let data entry get in the way.
Find out how with a free trial and a demo
How we compare
Benefits of Nanonets' Bank statements OCR API
Traditional OCR Tools
Data Formatting
High savings
Nil or low training data
High training data
High training data
Receive documents from multiple channels
Amount of training data needed
Self-learning AI
No Template setup required
IT / API friendly
Multiple export options
Cost and Time Savings
Frequently asked Questions
Learn more about Bank statements processing with Nanonets OCR API
What is automated data extraction from bank statements?
What specific data points can be extracted from bank statements automatically (e.g., transactions, dates, amounts, payees)?
How accurate is automated OCR for bank statement data extraction, including scanned copies?
Can these solutions handle different bank statement layouts from various financial institutions?
What are the advantages of automating bank statement data extraction?
How does automated bank statement processing enhance financial visibility and fraud detection?
How is automated bank statement processing used for accounting and bookkeeping?
How do businesses use automated bank statement processing for auditing and compliance?
How do automated bank statement solutions integrate with accounting software (e.g., QuickBooks, Xero) and ERPs?
What are the common challenges in automating data extraction from bank statements?