Whistle - AI Workout Planner vs Speech To Markdown: Features, Pricing & Which Is Better (2026)
A side-by-side comparison of Whistle - AI Workout Planner and Speech To Markdown — features, pricing, and ideal use cases — to help you decide which AI tool fits your workflow.
Whistle - AI Workout Planner
Vogelhaus Apps GmbH
AI-powered workout planner and coach that builds, adapts and explains multi-sport training plans using health, recovery and weather data.
Key features
- Multi‑Sport Program Builder: Generates structured, week-by-week training programs for running, cycling, swimming and strength based on user goals and event targets.
- Contextual Coaching: Incorporates schedule, recent workouts, recovery metrics, sleep and vitals to adapt recommendations and explain what the body is signaling.
- Flexible Workout Editor: Create and modify structured sessions with warmups, intervals, targets and cooldowns; save repeated sessions as templates for quick reuse.
- Training Load & Projection: Calculates current training load, projects load for planned workouts, and shows how upcoming sessions will impact weekly workload.
- Predictions & Insights: Provides workout predictions (distance, duration, calories, load), heatmaps, streaks and trend views to review consistency and progress over time.
- Weather‑Aware Planning: Uses multi-day local weather forecasts to adapt outdoor session planning and suggest appropriate targets or changes.
- Apple Watch & HealthKit Integration: Send planned workouts to Apple Watch, start from the wrist, and optionally use HealthKit data (workouts, heart rate, sleep) for personalization.
- Privacy‑First Design: No mandatory account; stores data locally and in the user's iCloud where possible and limits server-side profiling when AI processing is required.
- AI-driven workout planning (implied by app title)
- Distributed via Apple App Store (iOS)
- App Store listing includes screenshots, ratings and user reviews
Best for
- Marathon Preparation: Build a multi-week, goal-specific running program that balances intervals, long runs and recovery while projecting training load to avoid overreach.
- Adaptive Weekly Scheduling: Replan a training week after travel or missed sessions — Whistle adapts remaining workouts to preserve program structure and load targets.
- Cross‑Training Management: Combine cycling, swimming and strength sessions into a single cohesive plan that accounts for cumulative load and recovery.
- Apple Watch Workout Execution: Plan workouts on the phone and send them to Apple Watch to start sessions directly from the wrist with compatible tracking.
- Data‑Informed Recovery Decisions: Use sleep, HR and vitals trends ingested from HealthKit to adjust daily intensity and identify when easier days are warranted.
- Template & Session Reuse: Save frequently used interval sets or strength circuits as templates to quickly schedule recurring sessions without rebuilding them.
- Generate personalized workout plans on iPhone/iPad
- Browse screenshots and user reviews to evaluate the app before download
- Use mobile AI-assisted planning for fitness routines
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.