Mouse and keyboard recording
Capture continuous input and tune counts, intervals, hold durations and delays for every action.
Explore the feature →← Back to home
AI deep-learning detection
Run a trained model locally and output object regions, classes, confidence and screen coordinates without consuming large-model tokens.
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How to use it
AI inference supports object detection, with entry points for segmentation and classification models. Filter by confidence, NMS, area and input size, then use object count, class, confidence, image regions or on-screen regions in clicks, conditions and later vision steps. AI object detection is computed locally and does not consume large-model tokens.
Getting started →Multi-template matching and clicks
Configure multiple visual candidates independently, locate a target and click the detected position.
Explore the feature →Route networks and automatic path planning
Build and save a route network, then plan movement from the current position through required waypoints.
Explore the feature →If / For / While logic
Build nested visual structures with conditions, loops and variables.
Explore the feature →MMaxLab training platform
Annotate, augment, train, run inference and validate locally without consuming large-model tokens.
Explore the feature →Project library and backups
Create, search, favorite, import, export and switch projects. Share exported automation projects for other users to reuse.
Explore the feature →AI Agent workflow building
Describe the task and let the Agent plan, write and revise the current project.
Explore the feature →NEXT STEP
Download for Windows (2.1 GB) ↗Start with one real task
Install MacroMax, record a short sequence, then add vision and logic as the task grows.