About StatementReader
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.
We know you value consistency and trust; the StatementReader team offers the perfect balance of transparency and technicality so you feel like we’re part of your business
Having already developed products in the legal and purchase ledger markets, we are exploring new ways to adapt our product and service to meet user needs
What's changed
Caching extracted data locally for fast re-processing if a different template is needed
March 2023
Increased stability when processing in folder mode simplifying the process in instances where hundreds of daily statements are contained within one folder
August 2023
Alternative OCR more suitable for lower quality documents
[coming soon]
Validation and correction of years where they are not printed on the statement
December 2022
Remove lines based on keywords stored in the template, useful when a 'total receipts/payments' line is inserted for each day
September 2022
Multiple methods of reading downloaded searchable PDFs with the preferred method stored in the template
February 2022
Refined date extraction if surrounded by column dashes and identification of the year if it's not in the date format
March 2021
50+ bank templates added since 1 April 2021, including the capability to extract two dates in the same column like with ABN AMRO
September 2021
Less options on the GUI, more automation on our OCR server, still with the offline option of installing it within your network
November 2021
Removed need to have Excel installed on user's machine, kept formatting and hyperlinks
December 2020
More accurate OCR for those lower quality bank statements; faster and cheaper OCR for offline client installations
September 2020
New bank statement format: 100% accurate extraction of transactions with vertically centred dates
February 2020
major restructure of the StatementReader architecture has led to significant time savings at the PDF extraction stage
February 2019
Encrypted PDF documents are supported by selecting a new ‘bypass encryption’ checkbox from the main StatementReader interface
August 2019
The interface can now be simplified to only show bank templates from a defined country
October 2019
temporary changes to the analysis options which only apply for that job
October 2018
An image of the first page can now be embedded into a separate tab in the automated Excel analysis, for reference
April 2018
Speed and accuracy improvements when extracting data from searchable, encrypted or image-based bank statements
March 2018
generate an automated analysis using merged jobs (for investigating multiple bank accounts
March 2017
allow users to set the analysis parameters that control the transactions identified as bounced and reversed
June 2017
expansive template creation tool to allow users to cater for more types
December 2017
added ability for the StatementReader application to interact seamlessly with an external OCR server
October 2016
streamlined the comprehensive Excel based transaction summary so that it works quickly even for large datasets
February 2016
added automated date and amount corrections together with a data extraction accuracy report
January 2016