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Ask questions of your Obsidian notes with private, local AI RAG.
★ 123 starsMIT
View guide →Convert any file to clean Markdown for AI agents — a fast Rust MCP server.
anymd is an open-source audio project by SylphxAI (SylphxAI/anymd on GitHub). It has 1,023 GitHub stars and 90 forks, is released under the MIT license, and was last updated on GitHub on 4 October 2026.
Grab a release build or compile it with Cargo.
Feed it a PDF, spreadsheet, image, or media file.
Register the MCP server with your agent per the README.
Agents now read converted Markdown instead of raw binaries.
PDF, Office docs, EPUB, HTML, images, audio, video.
Images convert through optical character recognition.
Audio and video yield subtitles and transcripts.
Fast native binary with low overhead.
Plugs straight into MCP-compatible agents.
Script conversions from the terminal.
Download the source and move into the project folder.
git clone https://github.com/SylphxAI/anymd.git
cd anymdCompile the optimized Rust release.
cargo build --releaseRun the binary against any supported file.
./target/release/anymd document.pdfIt is an open-source project at SylphxAI/anymd with 90 forks; check recent commits for activity.
Yes. It is MIT licensed.
It is a Rust-native alternative with an MCP server built in for agent workflows.
PDF, Word, PowerPoint, Excel, EPUB, HTML, web pages, images, audio, and video.
Through its MCP server, so MCP-compatible assistants can convert files on demand.
Ask questions of your Obsidian notes with private, local AI RAG.
Self-hosted RAG search across GitHub, Drive, Notion, and local files.
Transparent Python RAG reference with FAISS + BM25 hybrid retrieval.
MCP server that turns any video — YouTube.
Blazing-fast multi-backend Whisper transcription for any file or URL.
Local-first meeting notes your AI coding agents can query over MCP.
The most-starred other Audio projects in the LibreAI catalogue — the realistic shortlist if anymd is not the right fit.
利用 AI 大模型和自动化工作流，根据主题或关键词一键生成高清短视频。Generate HD short videos from a topic or keyword with an automated AI workflow.
Robust Speech Recognition via Large-Scale Weak Supervision
1 min voice data can also be used to train a good TTS model! (few shot voice cloning)
Clone a voice from 5 seconds of audio and generate arbitrary speech in real time
Port of OpenAI's Whisper model in C/C++
Free and open — grab the source, star the repo, and start creating.