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Extracting information from millions of documents at scale used to take an insane number of human hours. Even with recent OCR + document AI …
Extracting information from millions of documents at scale used to take an insane number of human hours. Even with recent OCR + document AI tech, humans would still have to spend a lot of time careful
Extracting information from millions of documents at scale used to take an insane number of human hours. Even with recent OCR + document AI tech, humans would still have to spend a lot of time carefully tuning the schema and precisely defining the fields they want to extract. We've launched a Conversational Extract feature within LlamaParse that now lets you define and run complex document extraction through a conversation. 1️⃣ Describe the fields you want to extract, and upload a reference document 2️⃣ Refine the document schema directly, or through additional conversations. Select the right level of agentic reasoning needed 3️⃣ Run extraction at scale over 1M+ docs. Get bounding boxes, citations, and confidence scores for every single extracted field. Check it out today: https://cloud.llamaindex.ai/ Media Your extraction schema is now a conversation away. 📄 Upload a doc — the agent drafts the schema from it 💬 Want changes? Just ask 📚 Or grab a template and go Writing JSON Schema by hand? That's over. Conversational Extract is live in LlamaParse. Try it now at https://…
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- Come process millions of docs with us today! https://cloud.llamaindex.ai/
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Source: Jerry Liu (X) | 2026-07-15