@jerryjliu0: You don't need heavyweight VLMs to OCR simple text-only PDFs. Doing that is like bringing a bazooka to a knife-fight, a…
Summary
LlamaIndex announces improved routing in LlamaParse that selects lightweight parsing for simple text-heavy PDFs and heavier VLM-based parsing for complex pages with tables or charts, optimizing cost and accuracy.
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Cached at: 07/09/26, 07:40 PM
You don’t need heavyweight VLMs to OCR simple text-only PDFs.
Doing that is like bringing a bazooka to a knife-fight, and is completely unnecessary and worse quality than a tuned OCR approach. Output tokens are expensive and slow. Reading text as images hurts transcription accuracy.
We’ve built an improved routing layer in LlamaParse that picks the right level of document parsing capability depending on the complexity of the page. If the page is simple/text-heavy, we’ll use our cost-effective techniques. If the page contains dense tables or charts, we’ll revert to a heavier VLM-based approach in our agentic mode.
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LlamaIndex 🦙 (@llama_index): We’ve rolled out improvements to LlamaParse Cost Optimizer.
Our intelligent tier routing now more reliably ensures you always strike the right balance between cost and accuracy when processing large documents. Simple pages default to our cost-effective tier, complex pages are
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