Anyone building data pipelines knows the nightmare of "bundled" PDFs. 📄 You get a single 100-page file, but inside it’s a mess of invoices, clinical notes, and forms. If you run extraction on the whole thing, you break your schema and waste credits on noise. That’s why
Introducing Split Classification in ADE - Content-aware document splitting for multi-document PDFs 🚀 Many customers receive large PDFs that aren’t a single document at all. They’re bundles: intake forms attached to clinical notes, invoices mixed with authorizations, packets
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@python_spaces Wow! A much needed tool for those pesky, bundled PDF files. Any of you found it useful yet?
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@python_spaces ADE's split classification is a pipeline lifesaver! Optimizes data management by grouping before extracting, yielding clean JSON. This tech is a game-changer, transforming 'bundled PDF nightmares'! 🚀
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📢 Kotlin 2.3.0 is out! Here are some of the highlights: ✅Language: More stable and default features, unused return value checker, explicit backing fields, and changes to context-sensitive resolution. ✅Kotlin/JVM: Support for Java 25. ✅Kotlin/Native: Improved interop through
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