Google just quietly changed how documents turn into data 🔥 For years, extracting structured information from long documents meant fragile regex rules, expensive enterprise APIs, or hours of manual work. LangExtract flips that entire workflow. It’s an open-source library that uses modern AI models to turn unstructured text into structured, verifiable data using only simple instructions and a few examples. No fine-tuning. No complex pipelines. No enterprise pricing. What makes LangExtract powerful is not just extraction, but trust: • Every entity links back to its exact source location • Outputs follow clean, consistent structured schemas • Long 100+ page documents are handled with high recall • Interactive HTML lets you verify results instantly • Works with Gemini, local models, and offline setups And it’s flexible across real-world domains: • Clinical and healthcare notes • Legal and compliance documents • Financial and research reports • Any large unstructured text source This is a major shift. Document extraction is moving from manual + expensive → automated + open-source. And when Google releases tools like this publicly, entire software categories tend to change fast. Save this post to stay ahead. Comment “google” to get the official LangExtract link in your DM 📩 Follow for more real AI tools reshaping how work gets done. #google #opensource #computerscience #softwareengineering #developers {langextract, google ai, open source ai, document extraction, structured data, information extraction, llm tools, ai automation, ai tools, gemini ai, developer tools, ai productivity, data processing, machine learning, artificial intelligence, ai workflows, healthcare ai, legal tech, financial ai, ai model}