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Decision brief
PixelRAG is a Python-based tool that specializes in transforming PDFs into searchable image tiles, enabling efficient and scalable multimodal data retrieval.
Good fit when
- When your application requires scalable pixel-native search capabilities for multimodal data, particularly from PDF documents
- If you are working with dense text and graphical content within PDF files where traditional web parsing is insufficient or inefficient
Avoid when
- For tasks that do not require the conversion of textual or graphically rich content into searchable formats, as PixelRAG is PDF-centric and might not offer value in other data contexts
- If you are dealing exclusively with text-based search and your data format doesn't include substantial graphical elements; another tool might be more efficient
- Pricing:
- unknown - The pricing information is not available from the current repository data.
- Requirements:
- Requires installation of 'poppler' to handle PDF files effectively. Use `pip install 'pixelrag[pdf]'` for complete setup.
Observed Jul 12, 2026 · Source: enrich:decision_facts
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Maintenance and security
Full trust report- Maintenance
- Active (18d since push)
- As of 3d
- Provenance
- Not a fork · Organization account
- As of 3d
- Security (OSV)
- No criticals
- As of 1mo
Public GitHub metadata and optional OSV scans. Signals, not a guarantee. Trust methodology.
Install
pip install PixelRAGHow it fits your stack(9)
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Evidence and technical details
Sourced facts, taxonomy, compatibility claims, README excerpt, and machine-readable endpoints.
Overview
PixelRAG transforms PDFs into searchable tiles, enabling scalable and efficient multimodal data retrieval.
Capability facts
- CLI
- CLI entrypoint
Source: pyproject.toml:[project.scripts] · Aug 18, 2026
- MCP server
- No MCP server detected
Source: repo_scan · Aug 18, 2026
- Languages
- python, javascript
Source: github.language+package.json+pyproject.toml · Aug 18, 2026
Categories
Compatibility
Sourced claims from the README excerpt - not unsourced marketing copy.
Source: README excerpt (regex_v1, Aug 18, 2026)
# PDF → tiles (requires poppler; install the pdf extra: pip install 'pixelrag[pdf]')Source link
Tags
README
PDF → tiles (requires poppler; install the pdf extra: pip install 'pixelrag[pdf]')
curl -sL -o paper.pdf https://arxiv.org/pdf/2503.09516 pixelshot paper.pdf -o ./tiles --dpi 200
Start one locally with: docker run -p 6333:6333 qdrant/qdrant
pixelrag build-index --embeddings-dir ./embeddings --output-dir ./index
--backend qdrant --qdrant-url http://localhost:6333 --collection pixelrag
--qdrant-quantization-config ./quantization.json
For agents
This page has a .md twin and JSON over the API.