Rapsy turns your smartphone into an AI-powered fitness companion that functions like a virtual personal trainer, using on-device pose detection to count reps, coach form and estimate calories during workouts. Rapsy is designed to run entirely on the device so you can train offline with real-time spoken cues, automatic repetition tracking and privacy-friendly processing that does not upload camera data to the cloud. The app is aimed at people who want hands-free rep counting, clearer form feedback and practical calorie estimates for both bodyweight routines and machine-based training.
Key features and session flow
The core experience centers on automatic rep counting for more than 70 supported exercises, from push-ups and squats to common gym machines. During a session the app maps joint angles and motion to identify repetitions and deliver immediate voice feedback that announces counts, pacing cues and simple form reminders so you can keep your eyes off the screen. Sessions can be started with a single tap or voice command, and a visible overlay shows the detected pose skeleton, active rep count, and a session timer. Special timer modes cover isometric holds such as planks and wall sits, and a Gym Mode accepts the lifted weight you enter to refine calorie-burn estimates for resistance training.
Controls, detection and user interaction
Rapsy relies on your device camera and simple on-screen controls to operate. After choosing a workout you get a warmup prompt, a short calibration period to align the camera, and then the AI takes over to detect repetitions without manual input. You can pause or skip sets with touch controls, mute spoken guidance if you prefer silent cues, and manually adjust detected counts if an uncommon movement confuses the tracker. Visual overlays and a replay of key reps help you review technique after a set, while clear labels and large buttons make the app easy to use during intense sessions.
Progression, customization and training structure
The app organizes sessions into progressive modules for beginners, intermediates and advanced users, and each module contains structured workouts that increase in volume, intensity or complexity over time. Workouts are built from exercises in the library and can be customized by changing rep targets, set counts, rest intervals and tempo. You can opt for focused strength circuits, timed conditioning rounds, or mixed sessions that alternate machine-based movements and bodyweight exercises. Progression is tracked with weekly summaries and session analytics so you can see trends in reps completed, estimated calories and consistency of form, and you can use those insights to adjust targets for the coming weeks.
Analytics, summaries and local storage
After each workout Rapsy produces a session summary that includes total reps, per-exercise breakdowns, estimated calories and simple form consistency metrics derived from joint-angle data. Weekly and monthly views help you spot trends, such as increases in volume or improvements in consistency, and all analytics are stored locally on your device so your data remains private. The summaries are written in plain language to help you plan the next session, and quick export options let you save CSV-style summaries locally for personal recordkeeping without forcing cloud sync.
Visual style, accessibility and usability
The visual style favors a clean, high-contrast interface with clear overlays that highlight the detected skeleton and key numbers like rep count and timers. Large fonts, adjustable audio volume and optional captioning of voice prompts improve accessibility for users with hearing or visual preferences. Audio-only mode can deliver rep announcements and pacing cues with minimal screen interaction, which is useful for users who want purely hands-free guidance. Clear troubleshooting tips are provided for low-light conditions and small training spaces to help you get accurate detection.
Offline operation, privacy and limitations
Because all pose tracking and analysis run on-device, Rapsy works offline and keeps camera frames local, which reduces privacy concerns and allows training without an internet connection. Practical limitations include the need for a clear camera view, adequate lighting and enough space for full-body detection; cramped environments or unusual exercise variations may reduce accuracy. The recognition system focuses on the supported exercise library, so highly assisted lifts or uncommon movement patterns might require manual logging or correction.
Why it fits into a training routine
Rapsy complements home and gym training by removing the burden of manual counting and by providing immediate feedback so you can focus on movement quality. With configurable workouts, progressive modules and local analytics, it supports steady improvement while respecting privacy and offline use. The combination of on-device AI, spoken coaching and detailed session summaries makes it practical for users who want a compact, hands-free trainer that adapts to different equipment, spaces and experience levels.
