A two-pass approach to OCR with LiteParse and LlamaParse

LlamaIndex describes a two-pass workflow for optical character recognition (OCR): LiteParse extracts text and layout details and flags page complexity, then LlamaParse focuses on pages that need more processing, returning cell-level tables, bounding boxes and confidence scores. A post sharing the breakdown says the approach works well for small to medium batches, such as 10–100 documents, but comes with cost and latency trade-offs and is not a substitute for large-scale offline indexing and retrieval.