Our AI platform can automatically extract both printed and handwritten data from PDF documents. This includes scanned invoices, deduction forms, expense receipts, or promotional claim sheets that contain handwritten notes, signatures, or adjustments.

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We use VLMs (Visual Language Models) that are able to identify and interpret handwritten amounts, comments, and sign-offs within your uploaded PDFs. The extracted data is then structured and available for downstream automation—like reconciliation, categorization, or approval routing.

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Handwriting extraction is especially useful across:

• Trade Deductions – Reading handwritten claim numbers or adjustments on customer forms.
• Trade Promotions – Capturing handwritten notes or approvals on scanned deal sheets.
• Accounts Payable (AP) – Recognizing handwritten invoice IDs, PO numbers, or corrections on scanned bills.
• Expense Reports – Extracting handwritten totals or expense notes from receipts and attachments.

No manual setup is required. Simply upload your PDF in our platform, and the system automatically detects and processes handwriting along with typed text.

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Once handwriting is digitized:

• Any uncertain handwriting is flagged for review, maintaining full traceability.
• You can export or sync this clean data into your ERP, accounting system or Excel.

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If you want to tackle this problem with us get in touch.