How to Use DataSnipper for Faster Data Extraction In the fields of audit, finance, and accounting, data extraction is often the most time-consuming task. Manually pulling information from hundreds of PDFs into Excel is repetitive, error-prone, and slow. DataSnipper, an intelligent automation platform embedded directly within Excel, solves this by utilizing AI to automate data extraction.
This article explores how to use DataSnipper—specifically its “Form Extraction” feature—to speed up your workflows. What is DataSnipper?
DataSnipper is an AI-powered automation platform designed for audit and finance professionals. It allows users to extract data from various document types (PDFs, images, etc.) directly into Excel, enabling seamless cross-referencing and verification. Key Feature: Form Extraction
Form Extraction is DataSnipper’s specialized feature for pulling structured data from similar documents (e.g., invoices, bank statements, or identity documents) at scale. Steps to Faster Data Extraction with DataSnipper 1. Import Documents Open DataSnipper within your Excel workbook.
Import all the documents (PDFs, images) you wish to extract data from. 2. Set Up a Template (The “Snip”) Select one document to act as your template.
Use the Form Extraction feature to “snip” (highlight) the specific data fields you need to extract, such as date, amount, vendor name, or invoice number. 3. Run Automated Extraction
Once the template is set, DataSnipper applies this logic to all other imported documents.
DataSnipper’s AI detects the relevant data fields across all documents automatically. 4. Review and Export to Excel View the sample extractions in the right-side panel.
Click “Accept” to populate the data directly into your Excel workbook.
Hover over the snips in Excel to see the cross-referenced documents, ensuring accuracy. Why Use DataSnipper for Data Extraction?
Massive Time Savings: Converts a task taking hours into one taking minutes.
AI-Powered Accuracy: Reduces manual input errors by using AI to recognize data fields across different formats.
Fully Integrated: Works directly inside Excel, eliminating the need to move between apps.
Audit Trail: Allows for easy cross-referencing and verification of extracted data against original documents.
By leveraging DataSnipper’s Form Extraction, professionals can move away from manual data entry and focus on higher-value analysis and auditing tasks.
Note: DataSnipper is trusted by thousands of audit and finance professionals across 175 countries, including Big Four firms.
If you are interested in exploring specific tools for academic data extraction, you can also look into platforms like Avidnote. If you are interested, I can also:
Compare DataSnipper to other automation tools like Power Query.
Provide tips on how to structure your source PDFs for the best extraction results.
Show you how to use their “Automatic Procedure” feature to document your work. Which of these would be most helpful? How to use Form Extraction – DataSnipper Knowledge Base
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