Unstract: AI Document Parser: Extract Data from Complex PDFs + LLM Challenge! (Opensource)
Автор: WorldofAI
Загружено: 2025-04-23
Просмотров: 9022
Discover Unstract, the open-source AI document parser that lets you extract structured data from complex PDFs, contracts, and reports with ease! 🧾💡
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[Link's Used]:
Unstract Website: https://unstract.com/
LLMChallenge Docs: https://docs.unstract.com/unstract/un...
Token Calculator: https://unstract.com/tools/llm-token-...
LLM Whisperer Website: https://us-central.unstract.com/landi...
Github Repo: https://github.com/Zipstack/unstract
Unstract YouTube Channel: / @unstract
In this video, we dive into how Unstract handles messy, unstructured documents using cutting-edge LLMs—and how the powerful LLMChallenge feature boosts extraction accuracy by using two models to prevent hallucinations. Whether you're building an API, an ETL pipeline, or a human review workflow, Unstract delivers reliable results you can trust.
✅ Supports PDFs, tables, scanned docs
✅ Built-in LLMChallenge to fight hallucinations
✅ API with full metadata + cost tracking
✅ Open-source and production-ready
Watch till the end to see a live demo in action!
Tags: unstract, ai document parser, llmchallenge, extract pdf data, structured data extraction, open source ai, llm data extraction, ai pdf parser, hallucination detection, api extraction, document automation, etl pipelines, contract parsing
#AI #OpenSource #PDFParser

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