Osaurus vs Speech To Markdown: Features, Pricing & Which Is Better (2026)
A side-by-side comparison of Osaurus and Speech To Markdown — features, pricing, and ideal use cases — to help you decide which AI tool fits your workflow.
Osaurus
Osaurus, Inc.
Native macOS harness for AI agents that runs any local model on Apple Silicon with persistent memory and offline execution.
Key features
- Native Apple Silicon App: Built in Swift and optimized for M-series chips so inference runs locally with millisecond round trips.
- One-Click Model Runtimes: Connect Ollama, MLX, or LM Studio in a single click and switch between them from the UI.
- Fully Offline Mode: Turn Wi-Fi off and Osaurus keeps working — no server calls, no telemetry, no data leaves the Mac.
- Cloud Fallback: Add ChatGPT, Claude, or Gemini for tasks that demand a frontier model without losing the shared memory context.
- Persistent Shared Memory: One memory layer spans local and cloud models so agents remember prior sessions across providers.
- Autonomous Agents: Build agents driven by voice control, folder watchers, browser plugins, or parallel jobs that keep working in the background.
- File and Tool Execution: Drop in a folder and Osaurus can read, write, and run tools against local files like a resident assistant.
- MIT-Licensed and Free: Open source under MIT with no subscription, usage caps, or billing — fork it and ship it.
Best for
- Privacy-First Work: Run an assistant over sensitive code, contracts, or medical notes without any data leaving your Mac.
- Offline Field Use: Keep an AI assistant available on flights, in remote locations, or on air-gapped machines.
- Local Development Copilot: Point Osaurus at a repo and let a local model refactor, review, or generate code without cloud costs.
- Personal Agent Automation: Set up folder-watcher or voice-controlled agents to file downloads, transcribe recordings, or summarize new emails.
- Multi-Model Comparison: Route the same prompt through local and cloud models to compare outputs while reusing one memory context.
- Open-Source Base for Products: Fork the MIT-licensed harness to build a branded desktop AI app on top of Apple Silicon inference.
Speech To Markdown
xajik
Free, 100% local macOS menu-bar app that turns speech into structured markdown using whisper.cpp and any local LLM.
Key features
- 100% Local Pipeline: Runs whisper.cpp for speech-to-text and any local LLM server for structuring — no cloud calls and no API keys required.
- Global Dictation Hotkey: Press ⌘⌥] in any app to have the transcript typed straight at your cursor, works in Terminal, browser, Slack, and more.
- Agent Mode Live Structuring: A floating capsule streams your voice through the LLM into a real-time Markdown, plain text, or HTML document.
- One-Line Install: A single curl-piped script installs xcodegen, whisper-cpp, and ffmpeg via Homebrew, then builds the app from source into /Applications.
- iOS Companion: A fully offline iPhone/iPad app that uses Apple Intelligence on iOS 26+ (iPhone 15 Pro and up).
- Multiple Output Formats: Format, edit, or append the LLM output as Markdown, plain text, or HTML from a single control panel.
- Send-Now Flush: The Send (⏎) control flushes the current buffer to the LLM immediately instead of waiting for the pause/word-count threshold.
- Model Picker: Download and swap Whisper models from Settings — Base (~150 MB) is a good starting point.
Best for
- Private Meeting Notes: Dictate meeting recaps on a Mac with sensitive content that must never leave the device.
- Voice-Driven Coding Comments: Speak function docstrings or PR descriptions into your editor at the cursor via Global Dictation.
- Structured Journaling: Use Agent Mode to ramble freely and get a clean, headed Markdown document out in real time.
- Offline Field Notes on iOS: Capture voice notes on an iPhone with no signal, structured into markdown using on-device Apple Intelligence.
- Slack / Email Long-Form: Dictate long replies straight into Slack or Mail without opening a separate transcription tool.