PaddleOCR vs Unstructured
Both are alternatives to AWS Textract. Here's how they stack up — verified facts, no spin.
Also searched as Unstructured vs PaddleOCR — same comparison, one verdict.
PaddleOCR
The strongest open OCR engine, and the best at non-Latin scripts.
PaddleOCR is a comprehensive OCR toolkit covering text detection, recognition, table extraction, layout analysis and key-value extraction, with support for around eighty languages. Its non-Latin script handling — Chinese, Japanese, Korean, Arabic — is clearly the best of the open options, and it ships lightweight mobile-scale models alongside the accurate server ones. Apache-2.0. If raw recognition accuracy on difficult scans is the constraint, this is the engine.
Unstructured
One interface for every document format you will actually be handed.
Unstructured normalises an unusually wide range of inputs — PDF, Word, PowerPoint, Excel, HTML, email, EPUB, images — into a consistent element structure of titles, narrative text, tables and lists, ready for chunking. Breadth is the point: real corpora are never one format, and writing a parser per type is where ingestion projects stall. The open library is Apache-2.0 and runs locally; the company also sells a hosted API with additional models.
Side by side
| PaddleOCR | Unstructured | |
|---|---|---|
| Sovereignty Score | 92 | 90 |
| Open source | Yes | Yes |
| Self-hostable | Yes | Yes |
| Local-first | Yes | Yes |
| License | Apache-2.0 | Apache-2.0 |
| Pricing | Free, Apache-2.0. | Open library free under Apache-2.0; a paid hosted API is offered separately. |
PaddleOCR edges it on the Sovereignty Score, but the right pick depends on the trade-offs below.
PaddleOCR
Strengths
- +Best-in-class open recognition accuracy on difficult scans
- +Around eighty languages, with excellent non-Latin coverage
- +Includes table, layout and key-value extraction
- +Lightweight models for edge and mobile deployment
Trade-offs
- −Built on the PaddlePaddle framework — an extra dependency to adopt
- −Documentation is stronger in Chinese than in English
- −Output needs more post-processing than Docling's Markdown
Unstructured
Strengths
- +Widest input-format coverage of anything here
- +Consistent element output regardless of source format
- +Chunking strategies built in for RAG pipelines
- +Apache-2.0 open library
Trade-offs
- −Best-quality models sit in the paid hosted tier
- −Local install pulls in heavy system dependencies
- −Depth on complex PDFs is below Docling's
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Facts verified 2026-08-11. Licenses and pricing change — spotted something out of date? That's a correction we want.