xberg vs PaddleOCR
Document extraction and OCR toolkits compared
xberg and PaddleOCR extract text and structure from documents for applications and retrieval workflows. xberg is a Rust-based engine with multiple interfaces and broad format coverage, while PaddleOCR is a Python toolkit centered on OCR and document parsing for images and PDFs.
xberg: Extract Documents Across Languages with a Rust Core
Xberg is a polyglot document-intelligence engine built on a Rust core, with bindings for 15 languages and CLI, REST API, and MCP interfaces. It extracts text, tables, metadata, and structured data from many document formats, and uses Whisper for optional audio transcription.
PaddleOCR: Extract Text and Structure from Images and PDFs
PaddleOCR is a Python toolkit for recognizing text and parsing document layouts in images and PDFs. It suits developers building OCR, document-processing, and retrieval workflows who need structured output and multilingual recognition.
| xberg | PaddleOCR | |
|---|---|---|
| Language | Rust | Python |
| License | MIT | Apache-2.0 |
| Stars | 9.4k | 90.6k |
| Forks | 593 | 11.4k |
| Last analyzed | Oct 15, 2026 | Oct 3, 2026 |
Key differences
- xberg handles a broad range of inputs, including archives, audio, video, web content, and source code; PaddleOCR focuses on images and PDFs.
- xberg provides a Rust core, CLI, REST API, MCP server, and bindings for 15 languages; PaddleOCR is a Python toolkit with deployment options including ONNX Runtime and OpenVINO.
- xberg offers several output formats, including Markdown, HTML, JSON tree, and DocTags; PaddleOCR highlights Markdown and JSON output from document parsing.
- PaddleOCR describes recognition support for more than 100 languages and offers model families for text recognition and document parsing; xberg provides multiple OCR backends alongside other extraction capabilities.
- xberg is licensed under MIT, while PaddleOCR is licensed under Apache-2.0.
- PaddleOCR has 90.6k stars and 11.4k forks, compared with xberg at 9.4k stars and 588 forks.
Choose xberg if you…
- need extraction across varied formats such as archives, audio, web content, or source code.
- want a Rust-based engine available through a CLI, REST API, MCP server, or language bindings.
- need multiple output formats or syntax-aware code extraction for indexing.
Choose PaddleOCR if you…
- need OCR focused on images and PDFs, including multilingual recognition.
- want to parse document layouts and complex elements such as tables, formulas, and charts.
- need a Python toolkit with CPU and accelerator inference options.
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This comparison is generated with AI from the OSRepos analyses of both projects. Always check each project's repository and documentation before choosing.