@jerryjliu0: We pride ourselves on building document processing that is not only accurate and cheap, but massively scalable to milli…
Summary
LlamaParse now offers latency metrics for Parse, Extract, and Classify jobs, providing queue time, processing time, and total latency breakdowns. This helps users monitor and scale their document processing.
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Cached at: 05/23/26, 01:56 AM
We pride ourselves on building document processing that is not only accurate and cheap, but massively scalable to millions of documents per customer.
Whether you are looking to parse a massive offline backlog, or looking to handle bursty user file dumps - you can now track latency in LlamaParse and we will make sure we can give you back all the results in a timely manner
This is an underrated downside of trying to DIY your own document parsing stack with VLMs; you’ll run into rate-limits along with other edge cases as you scale online and offline parse volumes.
LlamaIndex 🦙 (@llama_index): New in LlamaParse: Latency Metrics is now live.
For every Parse, Extract, and Classify job, you can now get a full latency breakdown.
All broken down by tier. ⏱ Queue time ⚡Processing time 📊 Total latency
There’s also a new Metrics tab with a latency scatter plot and job
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