This Google Tool Turns Messy Text Into Clean Data

Description

Most apps struggle with the same problem: messy text. A huge chunk of real-world data that's unstructured, and turning it into something usable is harder than it should be. In this video, I walk through LangExtract, a free, open-source tool from Google that helps developers extract structured, traceable data from unstructured text using large language models. 🔗 Relevant Links LangExtract Repo - https://github.com/google/langextract Google LangExtract - https://developers.googleblog.com/introducing-langextract-a-gemini-powered-information-extraction-library/ ❤️ More about us Radically better observability stack: https://betterstack.com/ Written tutorials: https://betterstack.com/community/ Example projects: https://github.com/BetterStackHQ 📱 Socials Twitter: https://twitter.com/betterstackhq Instagram: https://www.instagram.com/betterstackhq/ TikTok: https://www.tiktok.com/@betterstack LinkedIn: https://www.linkedin.com/company/betterstack 📌 Chapters: 00:00 – Why Messy Text Breaks Real Data Pipelines 00:35 – What Is LangExtract (And Why Devs Are Switching) 00:51 – The Big Difference: Grounded, Traceable Extraction 01:27– Demo: From Raw Text to Structured JSON 02:29 – The Killer Feature: Linking Output Back to Text 03:00 – Pros, Cons, and When You Should Use It 04:00 – Final Verdict on it