KI-Chat
ObsidianRAG
Ask questions of your Obsidian notes with private, local AI RAG.
★ 123 SterneMIT
Anleitung ansehen →anymd ist ein Open-Source-Projekt aus der Kategorie Audio von SylphxAI (SylphxAI/anymd auf GitHub). Es hat 1.023 Sterne auf GitHub und 90 Forks, wird unter der Lizenz MIT veröffentlicht und wurde zuletzt am 4. Oktober 2026 auf GitHub aktualisiert.
Convert any file to clean Markdown for AI agents — a fast Rust MCP server.
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.
Die anderen Projekte der Kategorie Audio mit den meisten Sternen im LibreAI-Katalog — die realistische Auswahl, falls anymd nicht das Richtige ist.
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++
Verwandte Projekte der Kategorie Audio im Katalog, die anymd bei den Sternen am nächsten stehen — zum Weiterstöbern auf beiden Seiten.
Private cross-platform speech-to-text with LLM cleanup built in.
A speech-to-text server framework built on next-generation Kaldi.
Native Linux dictation: fast, private, and hackable speech-to-text.
A Python voice assistant that runs system commands by voice.
The easiest way to serve AI models, including speech-to-text, on Kubernetes.
Official Vonage PHP SDK for SMS, voice, TTS, and 2FA APIs.
Kostenlos und offen — hol dir den Quellcode, gib dem Repository einen Stern und leg los.