Tag: word-docs

From Microsoft: converts PDF, Word, Excel, PowerPoint, HTML and other files or URLs to Markdown so agents can read and search them. A single convert_to_markdown tool over STDIO or local HTTP.

Converts PDF, Word, Excel, PowerPoint, HTML, images, audio and more into Markdown that keeps headings, lists and tables, ready for LLMs to read and analyze. Maintained by Microsoft; requires Python 3.10+.

Anthropic's document skills, the implementation behind Claude's file features: create, edit and analyze Word, Excel, PowerPoint and PDF files, including tracked changes, comments, formulas and form filling. Source-available, not under an open-source license.

Creates, reads and edits Word documents: tables of contents, page numbers and letterheads, tracked changes, comments and find-and-replace, while preserving existing formatting. The official Anthropic skill behind Claude's document features; source-available, not open source.

Universal document converter between dozens of formats including Markdown, Word, HTML, LaTeX and EPUB, with templates, citations and Lua filters. PDF output uses LaTeX by default, which you install separately.

Partner plugin from Kensho, part of S&P Global: uses Capital IQ data to produce one- to two-page company tearsheets as Word docs, earnings previews, and M&A deal summaries by sector or company. Needs a Capital IQ Pro or S&P LLM-ready API subscription; needs expert review.

Official Anthropic private equity skill: turns company, industry, financials, deal terms, diligence findings and returns into a standard IC memo with executive summary, key risks and mitigants, base, upside and downside returns and a clear recommendation, as a Word doc by default.

Official Anthropic initiating coverage skill: works in five separate steps (company research, financial model, valuation, charts, final report) to produce an Excel model, 25-35 charts and a 30-50 page Word report styled after bulge-bracket sell-side research. Needs analyst review.

Office command-line tool built for AI agents: a single binary that creates, reads and edits Word, Excel and PowerPoint files without Office installed, and renders them to HTML or PNG so agents can check the layout.

Skill collection for the gws CLI: one skill per Workspace API plus recipes for common Gmail, Drive, Docs, Calendar and Sheets workflows. Install gws and authorize your Google account first; not an officially supported Google product.

One CLI for Gmail, Drive, Calendar, Docs, Sheets and other Google Workspace APIs, with commands generated from the Discovery service, JSON output and 100+ Agent Skills. From the googleworkspace org but not officially supported; needs OAuth via a Google Cloud project.

Turns a hiring need into a job description, a structured interview guide with scorecard, resume screening criteria and an offer template, delivered as Word documents. With Claude in Chrome it can save drafts in DocuSign. Official from Anthropic; have HR or legal review offer terms.

From Firecrawl: converts Word, PowerPoint, Excel, PDF, EPUB, RTF and more into clean Markdown locally in milliseconds, keeping headings, tables, footnotes and formulas so agents can read attachments. Needs Node.js; optional Firecrawl cloud OCR for scans uploads the whole file.

The 20+ skills that ship with the official Lark (Feishu) lark-cli, covering messages, docs, Base, Sheets, calendar, mail, tasks, approvals and meeting notes. Install lark-cli and complete app setup and authorization first.

Official Lark (Feishu) skill to read, create and edit Lark docs and wiki pages, insert or download images and attachments, and work with whiteboards and mind notes. Depends on lark-cli and the lark-shared skill; requires Lark authorization.

MiniMax's official skill plugin with dev guides for frontend, full-stack, Android, iOS, Flutter, React Native and GLSL shaders, plus PDF, PowerPoint, Excel and Word document skills and image, video and music generation. Media skills need a MiniMax API key. Still in beta.

OpenAI's official Codex plugin that makes Google Drive the single entry point to search, organize, share and export files, handing Docs, Sheets, Slides and comments to dedicated sub-skills for summaries, edits and new files. Authorize your Google account in Codex.

Converts PDFs to editable Word files, keeping paragraphs, tables, images and layout as closely as possible, and can extract tables alone, handy when a contract or exam only exists as PDF. Needs Python; digital PDFs only, OCR scans first. No longer actively maintained by Artifex.

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.

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.

Local LLM-powered document translator for PDF, Word, Excel, EPUB, SRT subtitles and more; Word and Excel keep their formatting, glossaries can be built automatically, and agents can submit jobs via MCP. Needs uv and an OpenAI-compatible API key; translated PDFs lose the original layout.

Converts PDF, Word, PowerPoint, Excel, EPUB, web pages and images to clean Markdown locally, keeping page anchors, tables and two-column reading order, with full-text search across folders. Formerly pdf-reader-mcp; no uploads, no API key. Needs Node.js 18+; OCR for scans needs tesseract.

Runs LibreOffice as a persistent server so unoconvert can batch-convert Word, Excel, PowerPoint, ODF and PDF, handling about 2-4x as many documents in the same time as cold-starting LibreOffice each time. Install LibreOffice first and use its bundled Python; officially tested on Linux only.

The Docling project's official MCP: converts PDF, Word, PowerPoint and more into structured documents with layout and table detection and OCR for scans, and lets agents build new documents paragraph by paragraph and export Markdown. Local mode needs Python and uv, or use your own Docling Serve.