Accounting work often involves handling large volumes of documents: invoices, receipts, purchase orders, bank statements, and financial reports. Much of the time spent by accountants is dedicated to manual data entry, transferring information from documents into spreadsheets or accounting software.

This repetitive process is not only time-consuming but also prone to human error.

Today, AI-powered automation tools allow accountants to extract data from documents and organize it automatically into Excel or accounting systems — saving hours every week.

In this article, we'll explore how accountants can automate data entry and dramatically improve their productivity.

The Hidden Cost of Manual Data Entry in Accounting

Many accounting professionals still rely on manual processes:

• Opening invoices one by one
• Copying supplier names
• Entering invoice numbers
• Typing amounts and taxes
• Transferring data into Excel or accounting software

Even if each document takes only 2–3 minutes, processing hundreds of invoices quickly becomes a major workload.

For example:

Documents per month	Time per document	Total time
200 invoices	3 minutes	10 hours
500 invoices	3 minutes	25 hours
1000 invoices	3 minutes	50 hours

This time could instead be spent on analysis, financial strategy, or client advisory.

Why Automating Data Entry Matters

Automation tools allow accountants to process documents in seconds instead of minutes.

Benefits include:

Massive time savings Instead of typing data manually, documents are processed automatically.

Reduced errors Manual typing often leads to mistakes in totals, VAT rates, or invoice numbers.

Faster month-end closing Automated extraction speeds up reconciliation and reporting.

Increased capacity Accounting teams can handle more clients without increasing workload.

What Data Entry Can Be Automated?

Modern AI tools can extract many types of accounting information.

Examples include:

Supplier invoices

• Supplier name
• Invoice number
• Invoice date
• Line items
• Price and VAT

Receipts

• Merchant name
• Purchase date
• Total amount

Bank statements

• Transaction dates
• Transaction amounts
• Payment descriptions

Purchase orders

• Supplier information
• Quantities
• Product references

All this information can be automatically organized into Excel or structured data tables.

How AI Document Extraction Works

AI document extraction tools analyze documents and identify key fields. The process usually follows three steps:

1. Upload a document: PDF, image, or scanned file.
2. AI detects relevant fields: Such as supplier, date, totals, and items.
3. Export the data into Excel: Structured and ready to use.

This eliminates manual data entry almost entirely.

Example: Automating Invoice Data Extraction

Below is an example of a document extraction interface where invoice data is automatically converted into structured Excel fields.

Instead of manually typing every invoice line, the system extracts:

• Supplier information
• Invoice numbers
• Dates
• Line items
• Taxes
• Totals

All organized directly into a spreadsheet.

A Simple Way to Automate Accounting Data Entry

One example of an automation tool is IntoExcel, which extracts data from documents and converts it into organized Excel files.

The process is simple:

1. Upload the document: Upload invoices, receipts, or reports.
2. Select the fields to extract: Choose predefined fields or create your own.
3. Let AI process the document: The system extracts the information automatically.
4. Download the Excel file: The data is structured and ready for accounting workflows.

Who Benefits Most from Automated Data Extraction?

Automation is especially valuable for:

Bookkeepers Handling large numbers of client invoices.

Accounting firms Processing documents from multiple companies.

Freelance accountants Reducing repetitive administrative tasks.

Finance teams Managing supplier invoices and purchase records.

Real Productivity Gains for Accountants

With automation, accountants can:

• Process hundreds of invoices in minutes
• Reduce manual typing dramatically
• Improve data accuracy
• Focus on higher-value financial tasks

Instead of spending hours copying numbers from documents, professionals can focus on analysis, compliance, and advising clients.

Try Automating Your Document Data Entry

If you want to experience how much time automation can save, you can try extracting data from documents instantly.

👉 Try intoExcel

Upload invoices, receipts, or reports and receive a structured Excel file in seconds. You can begin with free extractions to test the tool.

Conclusion

Manual data entry is one of the most time-consuming tasks in accounting. Fortunately, AI automation now makes it possible to extract data from documents automatically.

By adopting document extraction tools, accountants can:

• Save hours every week
• Reduce errors
• Process more documents
• Improve overall efficiency

Automation is quickly becoming an essential tool for modern accounting workflows.