Extract Invoices to Google Sheets

Intelligent Document Processing is a technology that combines OCR (Optical Character Recognition), artificial intelligence, and machine learning to automatically extract data from unstructured documents.

Unlike traditional OCR solutions that require fixed templates and predefined zones, IDP adapts to different document formats. Whether your invoices come from dozens of different suppliers with varying layouts, a modern IDP solution can identify and extract relevant fields without manual configuration for each format.

This approach revolutionizes how businesses process their administrative documents, moving from a manual, repetitive process to an automated and intelligent workflow.

It's common to confuse IDP (Intelligent Document Processing) with RPA (Robotic Process Automation), but these technologies are complementary rather than competitors.

RPA automates tasks based on fixed rules: clicking a button, copying and pasting data from one system to another, filling out forms. It excels at automating predictable, repetitive processes, but it cannot "understand" document content.

IDP, on the other hand, adds a layer of intelligence. It can read a document, identify relevant information even if its position varies, and extract that data in a structured way. This adaptability makes it particularly effective for invoice processing.

With Extralys, extracting invoice data to Google Sheets becomes a simple three-step process, with no technical skills required.

First step: Create an extraction template. Define the fields you want to extract from your invoices: invoice number, issue date, supplier name, net amount, VAT, total amount, etc. You can start from our predefined invoice template or fully customize the fields according to your needs.

Second step: Set up your Google Sheets automation. Connect your Google account, select the target workbook and sheet, then map each extracted field to a column in your spreadsheet. This setup takes just a few minutes.

Third step: Upload your invoices. Drag and drop your PDF files or images, and extraction starts automatically. Within seconds, the data appears in your Google Sheets, ready to use.

Consider an accounting firm managing supplier invoices for 50 clients. Each month, hundreds of invoices need to be processed manually—tedious work that ties up valuable resources.

With Extralys connected to Google Sheets, the workflow becomes:

1. Invoices arrive by email or are scanned 2. They are uploaded to Extralys (or sent automatically via API) 3. AI extracts the data: supplier, number, date, amounts, VAT 4. Data is automatically added to the client's Google Sheets 5. The accounting team can focus on analysis and review

Result: an estimated 80% time savings on invoice processing, with a significant reduction in data entry errors.

Zapier and Make are excellent automation tools, but they typically require data to already be structured to be used. They can retrieve data from a form or API, but cannot "read" a PDF invoice.

Extralys positions itself upstream of these tools: our solution extracts data from unstructured documents and transforms it into structured data. You can then connect Extralys directly to Google Sheets, or use our webhook to feed your existing Zapier/Make workflows.

Additionally, Extralys is specifically designed for document extraction, with AI models optimized for invoices, contracts, and other professional documents. This specialization ensures extraction accuracy superior to generic solutions.

Extralys offers 50 free extractions to test our solution with no commitment. Create your account, set up your first automation to Google Sheets, and discover how Intelligent Document Processing can transform your invoice management.

In just a few minutes, you can automate a process that used to take hours—and focus on what really matters: analysis, review, and decision-making.