Application for converting scanned documents to digital PDFs. It involves capturing, spreading and the extraction of required data. It further enhances features such as language translation, contextual and financial analysis of financial statements.

features;

Web-based capturing of annual reports
Conversion of scanned document to digital PDF
Check the quality of scanned documents for processing.
Extraction of data in customized format for analysis
Side by side comparison with the original content
Secure Platform for Rapid Development
Language Translation Process
System Integration with on Premise Server
Capturing of Financial Statements Data, B/S, I/S, Notes to Accounts
In the banking and financial services industry, review and analysis of financial statements form the foundation of several strategic business decisions. Spreading of financial statements is the process of presenting financial information in a format favorable for analysis and risk identification.

TOO MANY FORMATS TO HANDLE MANUALLY
Currently, each company creates its own discrete items in a chart of accounts, resulting in a high number of non-standard account labels. Also, accounting standards vary from company to company and country to country, making cross-country evaluation of financial data challenging.

To complicate matters further, the financial statements that companies must submit take many different forms, including electronic files, spreadsheets, PDFs, and scanned documents. This makes gathering, extracting, and normalizing the data for business and risk decisions, complex and cumbersome.
INDONESIAN SAMPLE REPORT
ARABIC SAMPLE REPORT ITALIAN SAMPLE REPORT

current_challenges;

Format of financial reporting statements and variability of format (no standardization)
Variation in content
Format variability for notes to accounts
Country and Industry specific variations (reporting standards)
Nomenclature variability in financial statements.
Contextual understanding (language translation)
The same accounting items appear in different sections in different statements
Financial line item description in two different lines. (line break)
Table formats

our_solution;

Our effective Machine Learning solution processes all types of documents, formats, and semantics. We offer form, format and content agnostic customized solutions toour clients that generates automation completely.

spreadfin_helps_you;

To identify errors and quickly allow you to change the data by comparing extracted data with original statements. It allows the user to deliver higher productivity and streamline workflow management which facilitates faster auditing.
It allows you to convert text from the Native to the English Language and vice versa with contextual semantics. This allows you to manage a wider range of clients across geographies. It enables timely and fully informed decisions through monitoring via a centralized platform.
It checks the accuracy of financial statement equations and notes to accounts with persistent accounting checks, eliminating manual entries by 90% or more, enabling quicker turnaround times and facilitating quick decision-making.

product_features;

Continuous learning
Continuous learning through feedback from the client on inaccurate results and quarterly updates to the machine learning models for enhancements.
Data Normalizing
We use Natural Language Processing to customize this feature for clients based on their specific requirements, converting extracted data into a normalized form.
Exceptions
The exceptions will be handled as per the client's requirements, and the reporting for the same will be presented to the client in the required format for further action.
Data gathering from multiple sources and formats
Our solution accepts financial statements from different sources in different formats, including scanned documents, digital PDFs, and spreadsheets.
Data Extraction
Mining financial data from source documents including scanned and digital PDs. For scanned images, we use our proprietary algorithms to improve the quality of data. Then we apply OCR to convert the images in machine readable formats. SpreadFin identifies and extracts the data with domain independent algorithms for scaling. A metadata structure is also used for extracting specific formats required by the client.
API integration with third party
We provide third-party API integration with service providers like Thomson Reuters, Bloomberg, FACTSET, etc.
Customized language translation solution
Our translation engine can be trained for multiple languages based on financial data published in dual languages.

Custom Solutions for



The PGL team offers support to customize your requirements in areas such as: