Get to know us
StatementReader was launched in 2012 and is an accurate and reliable application that automatically converts scanned or PDF original bank statements into a spreadsheet format. It is used by forensic accountants, insolvency investigators, solicitors, auditors and business review professionals, to solve an otherwise time-consuming challenge – the manual input of 100s of pages of bank transactions.
Founded by David Elms, customer experience director, and Evangelos Tsiontsis, software development director, StatementReader goes beyond its technological capabilities; it is the ‘go to’ place for support in Excel, helping organisations across the world to reach ultimate levels of efficiency.
Removed need to have Excel installed on user's machine, kept formatting and hyperlinks
A more effective and cheaper offline OCR engine
New bank statement format: 100% accurate extraction of transactions with vertically centred dates
major restructure of the StatementReader architecture has led to significant time savings at the PDF extraction stage
Encrypted PDF documents are supported by selecting a new ‘bypass encryption’ checkbox from the main StatementReader interface
The interface can now be simplified to only show bank templates from a defined country
temporary changes to the analysis options which only apply for that job
An image of the first page can now be embedded into a separate tab in the automated Excel analysis, for reference
Speed and accuracy improvements when extracting data from searchable, encrypted or image-based bank statements
generate an automated analysis using merged jobs (for investigating multiple bank accounts
allow users to set the analysis parameters that control the transactions identified as bounced and reversed
expansive template creation tool to allow users to cater for more types
added ability for the StatementReader application to interact seamlessly with an external OCR server
streamlined the comprehensive Excel based transaction summary so that it works quickly even for large datasets
added automated date and amount corrections together with a data extraction accuracy report
That’s us – but what about you?
refined date extraction if surrounded by column dashes and identification of the year if it's not in the date format