Why this fit
Teams evaluating AI models, assistants and generative workflows, particularly RAG and vector search, document processing β source available on GitHub.
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Catalogue record
github.com
oxidize-python
π π π πͺ π§ - Rust-powered PDF toolkit: create, read, and analyze PDFs; extract text and entities for RAG; convert to Markdown; split, merge,...
Checked Oct 27, 2026Evidence completeness: evidenceREADME refreshed Oct 25, 2026Repo activity Oct 25, 2026
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π π π πͺ π§ - Rust-powered PDF toolkit: create, read, and analyze PDFs; extract text and entities for RAG; convert to Markdown; split, merge, rotate, and reorder pages; add content, annotations, and form fields; and encrypt documents. Ships in the oxidize-pdf PyPI package β run locally with uvx oxidize-mcp.
Best for
Teams evaluating AI models, assistants and generative workflows, particularly RAG and vector search, document processing β source available on GitHub.
Known limitations
Workflows that require fully deterministic, auditable outputs with no human review step.
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Evidence summary
Known limitations
Workflows that require fully deterministic, auditable outputs with no human review step.
Catalogue confidence
Catalogue data checked Oct 27, 2026.
GitHub-backed record with source-attributed context.
Repository context
oxidize-pdf
GitHub / bzsanti/oxidize-python
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- Catalogue updated Oct 27, 2026
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- GitHub activity reported Oct 25, 20266 stars
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