Once your documents have been processed, you can open Explore Data from the left the left navigation menu in each mailbox:

Explore Data displays your parsed data in a tabular format, making it easier to review large volumes of extracted information:

If your mailbox contains nested table fields (for example, line items, transactions, products, or invoice rows), you'll see an expand arrow next to each record.

Click the arrow to reveal the nested table directly beneath the parent row:

Simple Mode provides the most common data exploration tools while keeping the interface easy to use.

You can customize the column layout by:

Your preferred layout helps you focus on the fields that matter most.

Use the search box at the top of the page to quickly find records matching your search terms.

Search scans the available columns and updates results instantly:

Explore Data automatically recognizes field types such as:

This allows it to provide more intelligent filtering options.

Examples include:

This makes it easy to locate specific records without exporting your data:

Right-click a column header to access additional actions:

Available options include:

Available actions may vary depending on the column type.

You can choose which columns are visible by:

This is particularly useful when working with mailboxes that contain many extracted fields.

Explore Data supports two ways of viewing nested table data:

Nested records remain attached to their parent document.

For example:

This preserves the original document structure.

Nested rows can also be displayed as individual records.

This is useful when:

Data displayed in Explore Data can be exported directly using the Export button.

Exports respect your current view configuration, making it easy to share or further analyze your results:

Advanced Mode includes everything available in Simple Mode, plus additional data analysis capabilities:

Group records by one or more columns to quickly summarize your data.

Common examples include:

This makes large datasets easier to review and understand.

You can do this by dragging columns from the Columns panel and dropping them in the Row Groups box:

Instead of searching across all fields, you can search within a single column.

This is useful when looking for values in a specific field such as:

Advanced Mode provides a dedicated filter pane where you can:

Not currently - explore Data is read-only at this stage. You can review, search, filter, and export your extracted data, but you cannot modify it directly from the interface.

If editable data functionality is important for your workflow, please contact us so we can better understand your requirements.

You may occasionally see a subfield called (value).

This appears when a field contains mixed data formats.

For example:

Some records may contain an Address object:

While other records may contain only plain text:

To keep both formats accessible, Parseur stores plain text entries in a subfield named (value).

Yes. Because Explore Data is still in beta, there are currently a few limitations.

Explore Data currently supports mailboxes with fewer than approximately 500,000 documents.

In some cases, mailboxes with fewer than 500,000 documents may still experience loading issues if they contain:

We are actively improving performance and scalability. If you encounter loading issues, please contact our support team so we can investigate and help.