Overview:

Forms are the backbone of business operations—whether typed, hand-filled, scanned, or digital. Yet, their variability makes them notoriously difficult to process accurately and at scale. Historically, extracting information from forms meant costly manual entry or brittle rule-based systems prone to breaking with even minor format changes.

Today, with advances in vision-language models (VLMs) and Unstructured’s form processing capabilities, it’s finally possible to automate high-fidelity data extraction from even the most complex form layouts. This breakthrough lets organizations unlock critical data faster, with greater accuracy, and at lower cost—whether for compliance, customer onboarding, claims processing, or reporting.

In this webinar, we’ll show you how Unstructured’s platform tackles forms end-to-end: parsing diverse inputs, representing them as structured tables or form objects, and using the Document Data Extractor to map outputs directly into your own schema. You’ll come away with practical knowledge on automating form-heavy workflows and maximizing the business value of your data.

Technical Details:

• How VLM parsing enables accurate handling of typed, scanned, and handwritten forms
• How forms can be represented as structured tables or form objects depending on layout
• How to use the Document Data Extractor to align extracted outputs with your own schema
• Best practices for improving fidelity, minimizing errors, and streamlining downstream workflows

This webinar includes a live demo and an open Q&A where you can get your questions answered. Can’t join live? Register anyway to receive the recording!