Lilac vs Unstructured
A side-by-side look at scores, pricing and features — with RECATOOLS' ASEAN-aware verdict for each.
Lilac
Archived open-source dataset curation tool, acquired by Databricks
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Unstructured
Open-source and hosted document parsing for LLM-ready data
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| RECATOOLS Score | 6.5 / 10 | 7.4 / 10 |
| Capability | ||
| Value for money | ||
| Ease of use | ||
| ASEAN readiness | ||
| API quality | ||
| Pricing | Open Source | Open Source |
| Free tier | Free: archived Apache-2.0 code on GitHub (databricks/lilac) and PyPI (0.3.9). The hosted Garden service and website are gone; nothing is for sale | 10,000 free pages once per account (not monthly), no card required; open-source library is Apache-2.0 and free to self-host |
| Paid from | — | $0.015 per page after the first 10,000 free pages (Pay-As-You-Go) |
| Has API | ✗ | ✓ |
| Open source | ✓ | ✓ |
| Free to use | ✓ | ✓ |
| Users | — | — |
| Founded | 2023 | 2022 |
| Maker | Databricks (acquired 2024) | Independent (Unstructured Technologies, Inc.) |
| Verdict | Lilac made large text datasets explorable: it clustered and auto-titled documents, ran semantic and keyword search, and flagged PII and near-duplicates through a local UI and Python API. Databricks acquired it in March 2... |
Unstructured remains a sensible default for turning varied documents into AI-ready data, with a permissive open-source core and simple per-page hosted pricing that has become cheaper. Its accuracy rankings come from its... |
| Full review → | Directory listing → |
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Comparisons cover up to 4 tools. Scores are RECATOOLS editorial assessments; verify current pricing on each vendor's site.