Your Financial Data Extraction, Simplified
Dext Prepare automates financial data extraction, allowing seamless uploads of receipts, invoices, and bank statements to a secure platform.
Reduce the time you’re spending on manual data collection and earn 99.99% accuracy, all at once.
Save time, resources, and reduce human error
Harness the power of Dext Prepare’s Optical Character Recognition (OCR) and AI features for intelligent analysis and extraction of data from receipts, bills, invoices, and bank statements.
- Reduce manual workloads with ease.
- Stay tax-ready and punctual with automated processes.
- Maintain full control over your financial data and information.
Extract your data and make receipt management easy
Paper receipts and invoices are messy and rarely follow a standard layout. With Dext Prepare, all you need to do is provide your supplier info and our tool will do the rest.
Dext Prepare goes beyond simply converting documents into digital text – one quick photo and the app intelligently analyses, understands and organises the data for you.
Ultimately saving you more time, Invoice Fetch pulls all your sales invoices from online suppliers straight into your inbox - ready for your accountant. It merges all duplicates, leaving you to review and publish.
Faster, diligent data preparation
Extract all information from your bank statements using Dext Prepare and win back hours in your week. Digitise your paper bank statement with a scanner and upload to our web app. Or drag and drop a saved PDF and we’ll do the rest.
Instead of manually copying each line of your bank statements, use Bank Extraction to automatically extract the transactions and then download the information into a useful spreadsheet or .CSV format. Seamless and straightforward.
Solutions built to slot into your business
Dext Prepare tailors bookkeeping to your business needs with OCR software and world class machine learning capabilities.
Connect with leading cloud accounting platforms – like Xero, Sage and QuickBooks – to unlock automated publishing and transaction matching for quick-fire reconciling.
Trusted by 500,000+ businesses globally
Frequently asked questions
Financial data extraction is the process of retrieving financial information from various sources, including bank statements and financial reports. This process often requires specialised software and strategies to collect, manage, and analyse financial data compliantly and effectively.
Extracting data from financial statements typically involves several steps:Determine the specific financial statements (balance sheets, income statements, cash flow statements, etc.) from which data needs to be extracted.
Use software tools or manual methods to capture the required data. This could involve scanning documents, using OCR (Optical Character Recognition) technology, or manually inputting data.Ensure the accuracy and completeness of the captured data, often through cross-referencing or using validation rules.Convert the data into a usable format, which may involve categorising, normalising, or aggregating the data for analysis.Store the extracted data in a database or a spreadsheet for easy access and analysis.
There are several methods of data extraction, including:Manual extraction: Involves manually reading and recording data, which is time-consuming and prone to errors.Automated extraction: Uses software tools to automatically extract data. This method is faster and more accurate than manual extraction.
OCR technology: Optical Character Recognition technology is used to convert different types of documents, such as scanned paper documents, PDF files, or images captured by a digital camera, into editable and searchable data.
Most modern financial data extraction tools are designed to integrate with a variety of accounting and financial management software systems. This integration facilitates seamless data transfer and helps maintain consistency across different platforms.
The accuracy of financial data extraction largely depends on the technology used. Advanced tools employing Optical Character Recognition, machine learning, and AI algorithms can achieve high levels of accuracy, reducing the likelihood of errors and improving data reliability
Depending on which tool you use, financial data extraction tools can have robust security measures including data encryption, secure data storage, and regular security audits. These tools often comply with industry-standard data protection regulations to ensure the confidentiality and security of financial information.
Yes, these tools are generally equipped to handle a variety of data formats, including PDFs, Excel files, web-based reports, and scanned documents. They often feature OCR technology to convert non-digital data into a digital format.
