Skip to main content
All CollectionsProductive AI
Productive AI: Autofilling Expenses (Beta)
Productive AI: Autofilling Expenses (Beta)

Productive AI automatically fills expense details from uploaded PDFs or image files, saving time on data entry and minimizing errors.

Updated today

What is the Expense Details Autofill Feature?

The Expense Details Autofill feature uses AI to pre-fill fields when a PDF receipt or invoice is uploaded while creating an expense in Productive.

This feature saves time by automatically extracting and filling in key expense details, reducing the need for manual input and minimizing potential errors in data entry.

When you upload a PDF document, Productive AI identifies and fills out fields, including:

  • Date

  • Quantity

  • Currency

  • Total Cost

  • Description

The pre-filled fields are highlighted in blue for easy review, so you can quickly verify and adjust any details if needed.

Using the Expense Details Autofill Feature

Upload a PDF

  • Begin by navigating to the expense creation section in Productive.

  • Select the “Upload to Autofill” option to upload your invoice or receipt.

AI-Filled Fields

  • Upon uploading, Productive AI scans and auto-populates the above-listed fields, which are highlighted in blue to indicate AI-filled data.

  • You can then quickly review these fields and make adjustments if necessary.

Error Handling

  • If Productive AI encounters an issue extracting data (e.g., if the document format is unsupported), an error message will appear, explaining that certain information could not be extracted.

  • This ensures you are informed and can manually input any remaining details.

  • Explore this article to identify potential errors and learn how to resolve them.

Supported File Types

For a list of compatible file types and document formats, refer to the linked article here.

Key Considerations

  • Verification
    Always double-check AI-generated expenses to ensure accuracy.

  • Data Privacy
    Productive AI prioritizes data security and does not use customer data to train machine learning models, ensuring complete confidentiality.

Did this answer your question?