Invoices come in many formats.

Some are clean digital PDFs generated by accounting software. Others are scanned documents or photos, sometimes blurry or poorly formatted.

For businesses, this creates a major challenge: how to extract data consistently from both types of documents.

Manually processing these invoices is time-consuming and error-prone. Fortunately, modern AI tools like IntoExcel can extract structured data from both clear PDFs and scanned invoices, converting them into clean Excel files.

In this article, we explain how this works and why it can save hours of work every week.

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The Two Types of Invoices Businesses Receive

1. Clear (Digital) PDF Invoices

These invoices are generated digitally and usually contain:

• selectable text
• structured layouts
• clear formatting

They are easier to process because the data is already readable by software.

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2. Scanned or Image-Based Invoices

These include:

• scanned paper invoices
• photos taken with smartphones
• low-quality PDFs
• documents with shadows or distortions

These invoices do not contain selectable text, making manual extraction more difficult.

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Why Extracting Scanned Invoices Is Hard

Unlike digital PDFs, scanned invoices require OCR (Optical Character Recognition) to detect and interpret the text.

Challenges include:

• inconsistent layouts
• blurry text
• different languages
• handwritten elements
• varying invoice formats

Traditional tools often struggle with these documents, especially when extracting structured data like line items.

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How IntoExcel Handles Both Types of Documents

IntoExcel is designed to extract data from both clean PDFs and scanned invoices, using a combination of AI and OCR technologies.

Step 1: Upload your invoice

Upload any document:

• PDF files
• scanned documents
• images (JPG, PNG)

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Step 2: Select the data fields

Choose what you want to extract:

• supplier name
• invoice number
• date
• totals
• VAT
• product line items

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Step 3: AI processes the document

The system:

• reads digital PDFs directly
• applies OCR to scanned documents
• identifies relevant fields
• structures the data automatically

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Step 4: Download your Excel file

The result is a clean Excel file where:

• each invoice is structured
• each field is organized in columns
• line items can appear as separate rows

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Example of Invoice Extraction

Below is an example of how both digital and scanned invoices can be transformed into structured Excel data.

Even complex or low-quality invoices can be converted into usable datasets.

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Extracting Line Items from Invoices

One of the most powerful features of IntoExcel is the ability to extract line items.

Instead of summarizing an invoice into one row, you can extract:

Invoice	Product	Quantity	Unit Price	Total

Each product becomes its own row in Excel.

This is extremely useful for:

• accounting
• inventory tracking
• cost analysis
• supplier comparison

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Benefits of Extracting Both PDF and Scanned Invoices

Save time

Process invoices in seconds instead of minutes.

Handle any document format

No need to worry about whether the invoice is digital or scanned.

Reduce errors

Avoid manual typing mistakes.

Standardize your data

All invoices are converted into a consistent Excel format.

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Who Benefits Most from This?

This workflow is especially useful for:

• accountants and bookkeepers
• e-commerce businesses
• finance teams
• procurement departments

Any team handling large volumes of invoices can benefit from automation.

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Try IntoExcel

If your business receives both digital and scanned invoices, automation can simplify your workflow significantly.

👉 Try IntoExcel

Upload your invoice and receive a structured Excel file instantly.

You can begin with free extractions to test how well it works on your documents.

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Final Thoughts

Invoices come in many formats, but the need remains the same: extract accurate data quickly.

Whether you are working with clean PDFs or scanned invoices, modern AI tools can now handle both with high accuracy.

By automating invoice data extraction, businesses can:

• eliminate manual data entry
• process documents faster
• improve data accuracy
• build structured datasets for analysis

With tools like IntoExcel, extracting invoice data has never been easier, regardless of the document format.