DataSnipper is an intelligent automation platform designed for audit and finance professionals, seamlessly integrated with Excel. It automates repetitive and manual tasks such as data extraction, cross-referencing, and documentation, significantly improving efficiency, accuracy, and standardization. The platform supports a wide range of use cases, including audit management, financial reporting, compliance tracking, and risk assessment. DataSnipper offers multiple packages (Basic, Professional, Enterprise) to suit different team sizes and requirements, and includes advanced features like AI-driven document extraction, invoice and contract processing, and external guest collaboration. The platform is regularly updated, with recent versions introducing enhanced form extraction, partial matching, and improved collaboration tools, making it suitable for organizations of all sizes seeking to optimize audit and finance workflows.

Key Features

AI-Powered Data Extraction Automates extraction of structured and unstructured data from documents.

• Supports invoices, receipts, contracts, and forms.
• Uses OCR and AI for high accuracy and speed.

Cross-Referencing and Document Matching Links extracted data to source documents for audit trails.

• Enables partial matching and flexible data mapping.
• Facilitates compliance and reduces manual errors.

Audit Management and Documentation Centralizes audit procedures and documentation within Excel.

• Provides customizable templates, tickmarks, and version control.
• Supports audit trails and compliance management.

Collaboration Tools Enables internal and external collaboration on audit workbooks.

• External guest access for review and validation.
• Real-time reporting and analytics dashboards.

Multiple Platform Packages Offers Basic, Professional, and Enterprise editions.

• Scales features and support for different team sizes and needs.

Benefits

Efficiency and Productivity Automates manual audit and finance tasks, saving significant time.

• Reduces repetitive work and increases throughput.

Accuracy and Standardization Minimizes errors and ensures consistent documentation.

• AI-driven extraction and cross-referencing improve data quality.

Collaboration and Flexibility Supports seamless teamwork and external stakeholder involvement.

• Flexible packages and features adapt to any organization size.