Scanned Bank Account Parsing for Easier Research
Precisa is an automated bank statement analysis platform that provides real-time bank statement analytical capabilities and reduces the need for manual intervention.
Along with a host of beneficial features to make the evaluation process easy, Precisa has now integrated Scanned Document Parsing. With this new feature, lending institutions can conveniently upload bank statements in a scanned format in addition to the pdf format, thereby providing greater flexibility.
Upload Scanned Bank Statements for Improved Ease of Use
With the proliferation of banks – both public sector and private, there are several formats of bank statements that make it cumbersome to undertake efficient and standardised analysis for critical loan evaluation decisions.
The introduction of scanned bank statement parsing makes it easier for lending institutions to accept varied formats of bank statements. There is no need for a loan assayer to do a manual entry; what is needed is a simple scanning of the physical images which can then be easily uploaded in the system.
Once the scanned statements are uploaded, the BSA engine automatically parses through the statement and generates a report with crucial insights to simplify decision-making. This helps institutions in quick credit assessment and real-time decision-making, in turn reducing turnaround time to improve customer satisfaction.
How to Use?
The Precisa Bank Statement Analyser can be seamlessly integrated with your existing systems to complete your lending lifecycle management process. The BSA engine supports scanned/downloaded bank statements in the following file formats:
- PDF/XLS/CSV/TXT/RPT
- PNG/JPEG/JPG
The bank statement analyser then gets to work to extract data from the statements, dissecting and categorising transaction patterns, detects any anomalies, and assigns an overall creditworthiness score termed as the Precisa score.
Check out our guide on uploading bank statements here
Try Precisa with a 14-day risk-free trial to know more.
