Show HN: udoc. Dependency-free document extraction in Rust
udoc is a dependency-free document extraction tool developed in Rust. It supports various document formats and allows users to extract text, tables, and JSON without needing external libraries. The tool offers a command-line interface and Python bindings, making it accessible for different use cases.
- ▪udoc can extract content from formats such as PDF, DOCX, XLSX, and Markdown.
- ▪It features a streaming capability that allows processing large documents without loading them entirely into memory.
- ▪The tool provides hooks for OCR and layout detection, enhancing its extraction capabilities.
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Story provenance
Source · retrieval · rights · ranking — open for full record
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Story provenance
Attribution is not the same as permission. This drawer separates discovery metadata, excerpts, WeSearch-generated summaries, reuse status, and whether the publisher receives the visit. Nothing here claims a legal grant the publisher has not made.
Record
| Original publisher | Github |
| Canonical URL | https://newelh.github.io/udoc/ |
| Publication time | Wed, 20 May 2026 23:14:01 +0000 |
| Retrieval time | 2026-05-20T23:35:03.124Z |
| Last seen | 2026-05-20T23:35:03.124Z |
| Headline source | Publisher (no WeSearch rewrite) |
| Excerpt source | publisher body |
| Excerpt method | First ~120 words (~800 chars) of extracted publisher body, fair-use limited. |
| Summary | WeSearch · cerebras-chat (WeSearch summarizer) |
| Summary source text | contentText |
| Citation coverage | Summary is a WeSearch-generated derivative; primary citation is the original publisher URL. |
| Cluster | pHNr-7KPnKUv |
| Cluster logic | Grouped by semantic title/content similarity across sources within a rolling window. Same-publisher template collisions are excluded from coverage comparison. |
| Ranking reason | Story pages are not engagement-ranked. Hub feeds use recency, with optional source-diversified chronological ordering (cap consecutive stories per source). No personalized ranking. |
| Publisher visit | Yes — open original |
| Substitutes article? | No — link-out required for full text |
Rights status (four layers)
WeSearch handling by dimension
| Indexing | May the item be indexed (stored, ranked, made findable)? | Allowed |
| Snippet | May a short excerpt of the publisher's text be shown? | Allowed |
| AI summary | May WeSearch generate its own short summary of the article? | Limited |
| Retrieval / RAG | May the content be exposed for third-party retrieval-augmented generation? | Not asserted |
| Model training | May the content be used to train AI models? | Not asserted |
| Commercial reuse | May the content be reused commercially? | Not permitted |
Basis: Derived from the published RSS/Atom feed. Contact: [email protected]. Reviewed: 2026-07-24.
Opening excerpt (first ~120 words) tap to expand
Overview Dependency free extraction from documents. Extract text, tables, JSON, or rendered pages. CLI, Python Bindings, Pure Rust. No external parsers, libraries, or system packages are required. Provides hooks for OCR, layout detection, and entity extraction. Permissively licensed as dual MIT / Apache-2.0. Supports PDF, DOC, DOCX, XLS, XLSX, PPT, PPTX, ODT, ODS, ODP, RTF, and Markdown. Try it out using uv, no install required: curl -sL https://arxiv.org/pdf/1706.03762 \ | uvx udoc - | grep -A 18 '^Abstract' Installation¶ # uv uv add udoc # pip pip install udoc # cargo (coming soon) To build from source, see Compiling from source. Highlights¶ One Document model across formats. A content spine of Block and Inline nodes, plus optional presentation, relationships, and interactions overlays.
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Excerpt limited to ~120 words for fair-use compliance. The full article is at Github.
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