How to extract tables using multi-agent AI from complex real-world documents

Helpful links: Schedule a Demo: https://unstract.com/schedule-a-demo/ Start for FREE: https://unstract.com/start-for-free/ TRY FOR FREE: Unstract Playground (No signup required): https://playground.unstract.com/ TRY FOR FREE: LLMWhisperer Playground (No signup required): https://pg.llmwhisperer.unstract.com/ Unstract Opensource: https://github.com/Zipstack/unstract Check out our previous webinars: https://unstract.com/webinars/ Our documentation: https://docs.unstract.com/ Do you struggle with extracting data from document tables? A 300-page report. Tables buried on pages 187 and 234. Merged cells, multi-row headers, and columns that don’t behave. If this sounds like your problem, then this webinar is for you. We explore Unstract’s Agentic Table Extractor, a powerful tool that specialises agents to detect, scope, extract, and validate results, from complex real-world tables. Webinar details: How the multi-agent pipeline works and what each specialized agent does Text and vision models working together for accurate structural extraction Pre-scan and sliding window techniques that keep costs reasonable on large documents The prompt-readiness checklist that helps you write extraction prompts that get results … and more!