xberg vs PixelRAG
Document extraction and visual retrieval compared
xberg extracts text, tables, metadata, and structured content from many file types, while PixelRAG renders documents and web pages as images for visual search. xberg centers on broad extraction across interfaces and languages; PixelRAG centers on retrieving visual details such as charts, tables, and layout.
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.
PixelRAG: Search Documents by Their Visual Content
PixelRAG indexes screenshots of web pages and documents for visual retrieval, preserving charts, tables, and layout that text extraction can lose. It offers a Python pipeline, command-line renderer, and hosted search API.
| xberg | PixelRAG | |
|---|---|---|
| Language | Rust | Python |
| License | MIT | Apache-2.0 |
| Stars | 9.4k | 10.1k |
| Forks | 593 | 870 |
| Last analyzed | Oct 15, 2026 | Oct 3, 2026 |
Key differences
- xberg is a Rust-based extraction engine for documents, images, archives, audio, web content, and source code; PixelRAG focuses on visual retrieval from rendered web pages, PDFs, and other documents.
- xberg returns extracted content in formats including plain text, Markdown, HTML, JSON tree, and DocTags; PixelRAG indexes screenshot tiles using visual embeddings.
- xberg offers a library, CLI, REST API, MCP server, and bindings for 15 languages; PixelRAG provides a Python pipeline, command-line renderer, and hosted search API.
- xberg is licensed under MIT, while PixelRAG is licensed under Apache-2.0.
- xberg’s optional features and OCR or model-backed capabilities may require extra dependencies or configuration; PixelRAG’s rendering and embedding depend on components such as Poppler, Chrome or Chromium, and suitable hardware.
- Both projects are active and support RAG and document search, but xberg targets broad extraction workflows while PixelRAG targets searches where visual structure matters.
Choose xberg if you…
- need to extract text, tables, metadata, or code structure across many file types.
- want a Rust library, CLI, REST API, MCP server, or language bindings for document extraction.
- need extraction outputs and optional OCR or transcription capabilities for an ingestion pipeline.
Choose PixelRAG if you…
- need retrieval based on charts, tables, diagrams, or page layout that text parsing may lose.
- want a Python workflow to render documents into screenshot tiles and search them visually.
- need a hosted Wikipedia visual search API or a local index using FAISS or Qdrant.
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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.