@jerryjliu0: Lightning-fast extraction over any document. ICYMI, we launched Extract Turbo last week, that lets you process document…

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LlamaIndex has launched Extract Turbo, a feature that enables lightning-fast extraction of structured data from documents with high speed and accuracy.

Lightning-fast extraction over any document. ICYMI, we launched Extract Turbo last week, that lets you process documents from 1 page to dozens of pages with lightning-fast speed. Come check it out! Check out the video sequence below on equipment orders. Get all the line items with bounding boxes/citations in seconds. (disclaimer: astra sped up the video a bit so it's not quite 1x, but it should still complete in seconds!) https://cloud.llamaindex.ai
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Cached at: 09/11/26, 02:34 AM

Lightning-fast extraction over any document.

ICYMI, we launched Extract Turbo last week, that lets you process documents from 1 page to dozens of pages with lightning-fast speed. Come check it out!

Check out the video sequence below on equipment orders. Get all the line items with bounding boxes/citations in seconds.

(disclaimer: astra sped up the video a bit so it’s not quite 1x, but it should still complete in seconds!)

https://cloud.llamaindex.ai

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LlamaIndex 🦙 (@llama_index): Document extraction just got a new gear. ⚡️

Introducing Turbo mode for Extract, our fastest way yet to pull structured data from documents.

It runs roughly 4× faster than our Cost Effective Tier at comparable accuracy, with a median latency of 3.7 seconds a page. Turbo

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@jerryjliu0: Today we’re introducing Extract v2.5 - a series of frontier agents tuned for document extraction. The agents (cost-effe…

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LlamaIndex introduces Extract v2.5, a set of frontier-agent document extraction models (Cost Effective, Agentic, Agentic Plus) that now claim SOTA price-performance on ExtractBench, outperforming Opus 5.5 and GPT-6 Sol at 30%-4x lower cost, with major accuracy gains on long lists, multi-page records and scanned forms, plus new Advanced Citations and Structural Reasoning features available on LlamaParse.