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Bulk Data Extraction

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Audit Quicker Cloud enhances the auditing and accounting workflow by offering advanced tools for bulk data extraction from documents. These tools are designed to cater to the diverse needs of professionals, allowing for efficient and accurate data extraction. This article outlines the two primary methods of bulk data extraction available in Audit Quicker Cloud: Template-based Extraction and AI Automated Extraction.


Template-based Extraction

The template-based extraction method utilizes a structured approach to extract data from documents with a similar layout.

Selecting a Primary Document

Begin by selecting a primary document that will serve as the basis for your template. This document should ideally represent the common structure of the documents from which you intend to extract data.

Using the Template Editor

The Template Editor, akin to the Document Markup Tool, features two types of data extraction: Text Extract and Table Extract.

  • Text Extract: Allows you to select specific text sections for extraction, such as invoice numbers or dates.
  • Table Extract: Enables the extraction of tabular data, ideal for financial tables or lists.

Creating and Labeling Quick Extracts

Add Quick Extracts to the primary document and utilize the output preview at the bottom of the editor to view and label each extract. For instance, label a Text Extract over an invoice number as "Invoice Number" to ensure consistent column placement across multiple documents.

Formatting Options

  • Repeat Text Extracts: Useful for multi-row tables, this option allows the repetition of Text Extracts in each row for uniform output.
  • Remove Empty Rows: Eliminates blank rows from the extracted table when the actual data contains fewer rows than the template.

After setting up your template, save and exit to store the template for future use.

Applying Templates

Saved templates can be accessed from the "Templates" section. Here, you can edit existing templates or apply them to bulk extract data from multiple documents. For optimal results, ensure the documents used share a similar structure to the primary document.

Learn more about Templates

Learn more about Exporting Data

AI Automated Extraction

For documents that vary in structure or type, Audit Quicker Cloud offers an AI Automated Extraction feature powered by QuickerAI.

Document Selection

Choose the documents from which you wish to extract data. Unlike template-based extraction, these documents do not need to have a uniform layout or structure.

Field Selection

Select the desired fields for data extraction from the multi-select field option. This flexibility allows for tailored data extraction based on specific audit requirements.

Starting the Extraction

After naming your extraction, initiate the process. The AI Automated Extraction tool will classify and extract the specified data from the selected documents.

Learn more about AI Extract


Audit Quicker Cloud provides two robust tools for bulk data extraction, accommodating a wide range of document types and structures. The Template-based Extraction is ideal for documents with a consistent layout, offering precise control over the data extraction process. Meanwhile, AI Automated Extraction offers flexibility for documents of varying types and structures, leveraging advanced AI to classify and extract relevant data efficiently. By understanding and utilizing these tools, professionals can significantly enhance their auditing and accounting workflows, achieving greater accuracy and efficiency in data extraction.