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We pride ourselves on building document processing that is not only accurate and cheap, but massively scalable to millions of documents per …

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

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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. 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 volume …

Source: Jerry Liu (X) | 2026-05-23

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