Our AI platform automatically detects and extracts data from tables within PDF documents, whether they’re digital or scanned. This includes complex layouts like multi-line cells, merged headers, and unstructured grids found in invoices, deduction forms, or promotional summaries.

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We use Visual Language Models (VLMs) and their document structure understanding to accurately read rows, columns, and contextual relationships between cells. The extracted table data is then normalized and made available for downstream automation, like reconciliation, reporting, or approval workflows.

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Table extraction is especially useful across:

• Trade Deductions – Extracting line-item details like SKUs, quantities, and deduction reasons.
• Trade Promotions – Capturing payout tables or promotion spend summaries.
• Accounts Payable (AP) – Reading itemized charges or tax breakdowns from invoices.
• Expense Reports – Parsing receipt tables or cost summaries for categorization.

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No manual setup or table mapping is needed. Simply upload your PDF into the platform, and the system automatically identifies and processes tables along with other text or visual data.

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Once tables are extracted:

• You can review and validate structured table data directly in the platform.
• You can view the sourcing of data in the original document.
• The final, clean data can be exported or synced into your ERP, accounting system, or Excel for analysis.

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If you want to automate table extraction in your finance workflows, get in touch.

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