AI Use Cases

Head to head · Work · updated Oct 27, 2026

Unstructured vs Surya

Unstructured scores 66 to Surya's 42 on public evidence for extract data from documents, and they rank #1 and #3 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.

66new
evidence / 100

Open Unstructured ↗

Surya

OCR, layout and reading-order models covering 90+ languages, weights included.

+ Beats the old OCR engines on messy scans and non-Latin scripts, locally.
− The licence is not plain open source above a revenue line - read it before shipping.

42new
evidence / 100

Open Surya ↗

Side by side

public evidence
UnstructuredSurya
Evidence score / 1006642
GitHub stars15,62821,542
Hacker News stories, 30d70
Release-feed mentions, 30d00
Last activity0 days ago4 days ago
PricingOpen source · Apache 2.0 core; the hosted platform and connectors are paidOpen source · Weights are free for research and small companies; a commercial licence applies above a revenue threshold
Platformscli, api, linux, maccli, api, linux, mac
MakerUnstructuredDatalab

Which one?

Pick Unstructured if

  • you want the stronger public evidence (66 vs 42)

Best for a RAG pipeline that has to swallow a company's whole file share.

Pick Surya if

Beats the old OCR engines on messy scans and non-Latin scripts, locally.

Best for scanned archives in languages Tesseract mangles.

Where they compete

More comparisons