LlamaCloud

LlamaCloud is the hosted tier of the LlamaIndex document stack: instead of running a parser and a retrieval pipeline yourself, you send documents to a service that returns clean text and structured output, then index and query it through APIs that match the open-source library teams already prototype with. The vendor now leads its site with LlamaParse, describing it as agentic document processing — routing content such as tables, charts and handwriting to task-specific processing — with Extract, Split, Classify and Index steps built on the same parsing, and separately an open-source local parser for teams that want no cloud at all.

It suits teams whose bottleneck is documents that ordinary text extraction mangles: dense tables, irregular multi-column layouts, scanned and handwritten pages. It suits less well anyone who needs the parsing to happen inside their own network — that need is answered by the vendor's open-source local parser rather than by the hosted service, and the two are different products with different ceilings. It also suits less well a small budget with a large archive: parsing is metered, so cost follows volume rather than staying flat as a flat-rate pipeline would.

Not verified: the cloud sign-in page rendered only a sign-in form when fetched, so the console's own behaviour was not seen; everything about the product comes from the vendor's main site and its documentation. The accuracy comparisons on that site — cheaper than frontier laboratories, more accurate than other interfaces — are the vendor's own benchmark claims on its own page, not measurements taken here. The stated free allowance, the volume figures and the customer counts were read from the marketing page and no price sheet was opened, so the terms attached to the allowance are unknown. Nothing was parsed, so output quality was not tested.