Outils

Local neural text-to-speech engine that converts text to speech offline, with voices in dozens of languages, handy for listening materials or narrating articles and course slides. Needs Python; download a voice model before first use. The project is currently looking for maintainers.

Converts AsciiDoc, a Markdown-like plain-text markup, into HTML5, DocBook and man pages, and with official extensions into PDF and EPUB, suited to technical books, textbooks and large manuals. Ruby-based; install with Homebrew on macOS.

Self-contained modern TeX/LaTeX engine based on XeTeX and TeX Live that downloads and caches support files on first build, compiling .tex to PDF in one command without installing a full TeX distribution.

Mermaid's official CLI, mmdc: renders flowcharts, sequence diagrams and other Mermaid definitions to SVG, PNG or PDF, and can batch-convert mermaid code blocks in Markdown into images. Requires Node.js.

English prose linter that turns usage guides such as Garner's and advice from great writers into rules, flagging clichés, redundancy, bad comparisons and usage errors line by line, with JSON output for agents. Runs locally with Python; English only.

Builds Markdown and Jupyter notebooks into online textbook sites with a TOC, math, citations and cross-references, plus publication-quality PDF export; popular for course notes. A Jupyter subproject installed via pipx or npm; PDF export needs Typst or LaTeX.

Fast async link checker written in Rust that scans websites and Markdown, HTML and other files for broken links and email addresses, with JSON output, config files and an official GitHub Action, often wired into docs CI.

Pluggable natural-language linter that checks Markdown and plain text for wording, punctuation and terminology consistency like code, with auto-fix, and can also run as an MCP server. Rules are installed separately, mostly for Japanese and English; requires Node.js 20+.

Simon Willison's website screenshot CLI: batch screenshots from YAML, record demo videos, export PDF and HTML, run JavaScript in pages to extract data, and dump accessibility trees. Built on Playwright; install a browser on first use.

LLM translator for novels, subtitles, ebooks and game text: one-click glossaries keep names consistent and translations get auto-reviewed. Besides the desktop app it has a CLI (translate/analyze, JSONL status). Download from Releases and bring an LLM API; commercial use needs the author's OK.

Translates whole EPUB books, Word files, SRT subtitles and TXT with local Ollama or cloud LLMs (OpenAI, Gemini, DeepSeek), keeping layout and timings. Builds a glossary for consistent terms and can resume jobs. Mainly a desktop app; the CLI runs from source; cloud models need an API key.

Exports Feishu/Lark docs, whole folders or wikis to Markdown with images, so agents can read, migrate or archive them. Requires creating a custom app on the Feishu/Lark Open Platform and configuring its App ID and App Secret.

The official W3C conformance checker for EPUB, maintained by the DAISY Consortium: finds issues that break the EPUB 2/3 specs and outputs a report, so self-publishing authors and editors can check books before release. Needs Java; download a release and run it with java -jar.

Local text-to-speech CLI built on the open Kokoro model: batch-converts TXT, EPUB and PDF to MP3 or WAV by chapter, with multiple languages, voice blending and speed control; handy for audio versions of course materials. Needs Python 3.11-3.12 and two model files downloaded first.

Command-line reference and bibliography manager: add papers by DOI with metadata fetched automatically, search by author, title or tag, and import or export BibTeX. Each entry is a readable YAML file that agents can read and write easily; a web UI is included. Needs Python.

Fixes spacing and full-width/half-width punctuation in mixed CJK and English text, understanding 28+ file types including Markdown, YAML and strings and comments in source code. Lint mode outputs a diff or JSON for CI checks on localized copy.

Reads and writes Obsidian vaults from the terminal: search, view, create, edit, move and delete notes, and manage frontmatter and daily notes, without Obsidian running. Good for agents maintaining a personal knowledge base. Formerly Obsidian CLI.

Crawls an entire site, counts words and keywords per page, and checks technical SEO such as titles, meta descriptions, image alt text, H1s and social tags. Outputs JSON by default or an HTML report for agents to act on. Needs Python; the optional AI content review needs an API key.

Community CLI for Feishu (Lark) focused on two-way conversion between Markdown and Feishu docs; also works with wikis, sheets, Bitable, messages, calendar, tasks and meeting notes, and ships 9 agent skills. Setup creates an app via QR scan; search and mail need extra user authorization.

Cleans up BibTeX bibliographies: normalizes field formatting and indentation, sorts entries, merges or removes duplicates and strips chosen fields, rewriting the .bib in place or printing to stdout; also works as a pre-commit hook. Needs Node.js.

A Pandoc filter that numbers figures, tables, equations and sections and builds cross-references, so numbering stays right when you write papers or reports in Markdown and convert to Word, PDF or HTML. Needs a matching Pandoc version; Homebrew on macOS installs a compatible Pandoc too.

Checks spelling, grammar and formatting in LaTeX and Markdown sources (e.g. figures never referenced), mapping each issue back to the source line, with optional HTML reports. Grammar checks use LanguageTool and support English, German, French and more; Homebrew on macOS bundles Java.

Compares two versions of a LaTeX manuscript and produces a .tex that marks additions and deletions in color and strikethrough; compile it for a tracked-changes PDF to show reviewers, or diff versions from Git history. Ships with TeX Live and MiKTeX; needs Perl.

Microsoft Azure's official tool for translating Markdown, Jupyter notebooks and image text into 50+ languages; re-translates only changed parts and keeps links and formatting. Needs Python 3.11+ and an Azure OpenAI, OpenAI or Anthropic key; images need Azure AI Vision.