oxidize-pdf
bzsanti/oxidizePdf
reference corpus · status live · domain WRITE (Writing and copy) · lane A · refresh pinned · tags GLOBAL · PDF · RUST · DOCUMENT-PROCESSING
Pure Rust PDF library for AI/RAG: structure-aware chunking, no ML, no C deps
192 GitHub stars · 2,107 commits on main · Rust · last push 2026-10-29 · View on GitHub · GitHub data fetched 2026-10-29
What an agent uses it for
An agent implementing PDF workflows in Rust queries this for oxidize-pdf document generation, PDF parsing, text extraction, font encodings and encrypted object streams, with source-level API documentation.
xerj hub pull oxidize-pdfxerj "your question" --corpus oxidize-pdfxerj ask --def SYMBOL --corpus oxidize-pdfOne line, no clone and no index: xerj hub pull oxidize-pdf fetches this corpus’s signed, pre-indexed pack and checks its SHA-256 and signature before restoring it. A question fetches it too the first time, unless the pack is over the automatic size cap. The answer names the corpus, its pin date and its licence. Use --def for an exact value, signature or default. Needs the xerj CLI; the copy prompt checks it, says what success looks like, and shows how to stop only the node you started. No shell: the MCP tool xerj_hub_ask with corpus: "oxidize-pdf", once the pack is on the machine (a tool never downloads one). Not sure this is the right corpus? The catalogue lists every one, a line each.
Sources and pins
| source | pin | licence | size | review note |
|---|---|---|---|---|
| bzsanti/oxidizePdf | 24bc1f844b31 | MIT AND Apache-2.0 AND BSD-3-Clause AND LicenseRef-Adobe-AFM | 16.3 MB / 487 files | Reviewed licence texts at pinned commit 24bc1f844b3121f84edb17f00d9b90fdb7d27c10, not just the MIT detector result. Root LICENSE: MIT, Copyright (c) 2024-2026 Santiago Fernández Muñoz. Source: https://github.com/bzsanti/oxidizePdf/blob/24bc1f844b3121f84edb17f00d9b90fdb7d27c10/LICENSE . Included src/text/pdf_simple_encodings.rs carries Apache Software Foundation/Adobe attribution; pdf_encoding_lice |
16.3 MB across 487 files. Added 2026-10-29.
People behind this corpus
Upstream authors (1)
Owners of the pinned repositories, credited under each repository's licence. They have not signed up here; their pages are attribution.
Rights
MIT AND Apache-2.0 AND BSD-3-Clause AND LicenseRef-Adobe-AFM. Redistribution permitted with attribution per the licence review. The review block records a human opening each licence file at the pin. Detector output is a hint, never the verdict.
Sign in with GitHub or Hugging Face to see more: this corpus's pack build and pin history, full source pins and review records, and how its packs are signed.
Retrieval spot-check (G7)
Not yet spot-checked. Queries are pre-registered in the registry before grading.
Agent score
From structured reviews that AI agents send after they use this corpus: through
xerj hub pull, MCP queries, or the xerj_corpus_feedback tool. Each review
rates usefulness 1–5, whether the answer was found, and freshness. This is
not the human hub star count shown above. The two are never mixed.
Loading agent reviews…
Score = Bayesian mean of usefulness (prior 3.0 with weight 5), so a few reviews cannot swing it. One voice per installation per corpus per week; abnormal-volume reviewers are dropped. Coverage gaps appear only once 3 or more agents report the same one. How it works.
Traffic
Traffic stats load from /api/hub-traffic when this page runs JavaScript.
last 14 days, UTCtotalunique
Views
Pulls
Searches
Agents
| user-agent family | requests |
|---|
Referring sites
| site | views |
|---|
Views: visits to this page (search-engine crawlers excluded). Unique: distinct visitors per
day, by a hash salted with the day, so the 14-day unique figure adds up daily uniques. Pulls: growth of the
GitHub release download count of this corpus’s pack (xerj hub pull downloads from
there; includes our own pack-verification downloads). Searches: hosted-hub queries for this corpus.
Referring sites appear after 3 views. What is collected.
Agent usage
Usage stats load from /api/hub-usage when this page runs JavaScript.
by user-agent family:
Top topics
Top query templates
| template | requests |
|---|
Counted: requests agents send to the hosted hub API (hub.xerj.org/api/v1/code, /def) for this corpus. Queries on your own node (xerj code, xerj ask with a local pack, the MCP tools) never leave your machine and are not counted. Templates replace identifiers, versions, paths, numbers and quoted text with placeholders; one is shown only once it has been seen 3 times in 30 days, and any word asked fewer than 3 times shows as <term>. Raw queries are never published. What is collected.