knooth vs Speech To Markdown: Features, Pricing & Which Is Better (2026)
A side-by-side comparison of knooth and Speech To Markdown — features, pricing, and ideal use cases — to help you decide which AI tool fits your workflow.
knooth
knooth
macOS screen recorder with built-in editing, AI captions, timeline animations, and media layering for polished exported videos.
Key features
- Built-in Editing: Timeline-based editor for trimming, arranging clips, and applying timeline animations without exporting to external editors.
- AI Captions: Automatic caption generation for recorded videos to improve accessibility and speed up post-production workflows.
- Timeline Animations: Apply animations on the timeline to highlight moments, create transitions, and emphasize actions in recordings.
- Media Layering: Combine multiple media tracks (screen, webcam, overlays) to build polished, multi-layered screencasts.
- Highlight Key Moments: Tools to mark or emphasize important sections during or after recording so viewers focus on critical steps.
- Quick Export: Fast export workflow for producing clean, shareable video files suitable for demos, tutorials, and product walkthroughs.
- Screen recording (macOS)
- Highlight key moments within recordings
- Built-in video editor
- AI-generated captions/captions automation
- Timeline animations for clips
- Export polished videos for sharing
Best for
- Creating software tutorials and walkthroughs with annotated highlights and AI-generated captions for learners.
- Recording product demos and feature showcases with timeline animations to draw attention to UI changes.
- Producing onboarding and training videos for teams, using media layering to include webcam and screen together.
- Capturing bug reports and step-by-step reproduction videos with annotated highlights for engineering handoff.
- Generating short marketing clips or social previews by exporting polished, animation-enhanced screen recordings.
- Creating product demos and walkthroughs
- Recording software tutorials and how-tos
- Producing training and onboarding videos
- Capturing bug reproduction and annotated feedback
- Creating marketing or presentation videos
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.
