Head to head · Work · updated Oct 27, 2026
Unstructured vs LlamaParse
Unstructured scores 66 to LlamaParse's 18 on public evidence for extract data from documents, and they rank #1 and #4 there. Both are free to start. Numbers below are the same public signals the ranking uses, recomputed nightly — nothing here is sponsored.
Unstructured
Ingest library and hosted pipeline that normalises 25+ file types into chunks for retrieval.
+ The connector list is the real product - S3, SharePoint, Confluence and Drive land as clean chunks.
− The open library's best parsing paths push you toward the paid API.
LlamaParse
Parsing service aimed at the documents that break parsers: nested tables, forms, figures.
+ Holds up on financial statements and forms where plain text extraction turns to soup.
− Per-page pricing and a cloud round trip; large archives add up fast.
Side by side
public evidence| Unstructured | LlamaParse | |
|---|---|---|
| Evidence score / 100 | 66 | 18 |
| GitHub stars | 15,628 | closed source |
| Hacker News stories, 30d | 7 | 1 |
| Release-feed mentions, 30d | 0 | 0 |
| Last activity | 0 days ago | – |
| Pricing | Open source · Apache 2.0 core; the hosted platform and connectors are paid | Free tier · Free pages each day, then per-page credits |
| Platforms | cli, api, linux, mac | api, web |
| Maker | Unstructured | LlamaIndex |
Which one?
Pick Unstructured if
- you want the stronger public evidence (66 vs 18)
- you want open source — self-host it, read it, fork it
- you need it on cli, linux, mac
- a bigger GitHub community matters (15,628 vs 0 stars)
Best for a RAG pipeline that has to swallow a company's whole file share.
Pick LlamaParse if
- you need it on web
Best for a few thousand hard PDFs rather than a million easy ones.