One of the main issues with AI document parsing is that because no solution is 100% accuracy, it's hard to tell if a given page is parsed in…

One of the main issues with AI document parsing is that because no solution is 100% accuracy, it's hard to tell if a given page is parsed incorrectly: for instance a misaligned table, missing/hallucinated values, or messy scans over the past few months we've invested a lot in models that provide more calibrated confidence scores - it will give you a confidence level that the page is parsed correctly. it is correlated with the parsing mode and how complex the source page is. this allows you to bake in human-in-the-loop mechanisms where you can review and correct the outputs, or trigger automated fallback logic, for highly sensitive paperwork-heavy processes. come check out our high-effort scores! https://developers.llamaindex.ai/llamaparse/parse/guides/configuring-parse/#confidence-score-high-effort Come sign up to LlamaParse here: https://cloud.llamaindex.ai/ confidence scores in LlamaParse just got an upgrade 🦸‍♀️ our new high-effort mode provides granular page-level scores with text explanations to help you intimately understand parsing quality of your documents. we even refer back to the original document for an extra check when g…

Source: Jerry Liu (X) | 2026-09-11

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