doc-router
Project / 项目 · In the catalogue / 在目录中查看
What Jev decides here · Jev 在这里做什么决定
choice, noul: text signal only: the cited file contains their request or answer shape 仅文本信号：引用的文件里出现了它们的请求或回答格式
a person read the call site 有人读过调用点 · · Cited file / 引用的文件: crates/doc-router-jev/src/wire.rs
Summary · 摘要
Rust library that decides page by page whether a PDF needs OCR: Jev, or by default a bundled heuristic, answers one noul per page from text-layer evidence; text pages are extracted locally and only the rest go to an OCR model through LiteLLM. In the author's run, 87 of 155 pages were billed.written by a model
逐页判断 PDF 是否需要 OCR 的 Rust 库：由 Jev（默认是内置的启发式规则）根据文字层证据对每页回答一个 noul；有文字的页面在本地提取，只有其余页面经 LiteLLM 交给 OCR 模型。在作者的测试中，155 页里只有 87 页计费。模型撰写机翻
Launches · 发布记录
Not launched yet. 还没有发布过。 Launch it / 发布它 ↗ · How a product launches / 怎样发布一个产品
Makers · Maker
Made this? Confirm or correct its entry / 这是你做的？确认或更正条目 ↗
The same form takes the product's one line and a demo link, in its maker's own words. 同一个表单也可以补上产品的一句话和演示链接，用 Maker 自己的话。
Badge for its README · README 徽章
[](https://kydlikebtc.github.io/awesome-jev/products/doc-router.html)One line for the product's README, linked to this page. The picture says that it is listed; while it is on the launch board, that it is launching; after a week in the top three, its place. It is rebuilt with the site, so the line never needs changing. 放进产品 README 的一行，链接到本页。图片显示已收录；在发布榜上时显示正在发布；进过某周前三后显示名次。它随网站一起重建，这一行不用再改。
Also under this pattern · 同一模式的其他产品
docjev
Classifies and splits PDF, DOCX and PPTX files: LiteParse extracts page text locally, then Jev picks a document's category with a choice over your rules, or for a packet answers per page a category choice and a noul on whether a new document starts there. Its report covers 40 real PDFs.
tax-doc-classifier
Classifies tax document pages: one request per page asks Jev two choices, page kind (7 options) and IRS form (230 plus none), and a follow-up choice for five forms' schedules; criteria come from IRS PDFs and code gates at 0.95. Its author measured no strict error on 314 filled pages.
Quicksilver
Claude Code skill that hands relevance calls to Jev: one noul per file, log line or ticket ('which of these files handle auth?'), asked in parallel and sorted by probability, so Claude gets a shortlist with confidences instead of reading everything.
formanator
Submits Forma benefit claims from the command line or an MCP client. With --category-provider jev, Jev picks the benefit and category with a choice over the pairs Forma allows plus no_match, seeing only merchant and description; under 0.5 confidence or no match it falls back to the configured LLM.
jevmory
Local memory for coding agents: hooks store what sessions actually said as verbatim quotes, and jevmory audit asks Jev, for each line of a MEMORY.md, whether stored evidence supports or contradicts it, marking it keep, stale, wrong or unsupported. Python standard library, SQLite; grading is opt-in.