auto-target-tracker

You can automatically track goal progress from photos by sharing goal-related images like study notes or fitness logs, which are processed via VLM to extract tasks, counts, and timestamps for structured daily diary logging.

VLM-based habit tracking extraction works with learning study notes, fitness workout logs, work progress screenshots, creative project checkpoints, and habit tracker images where quantitative details like counts and percentages are visible.

Yes, you can log fitness workouts and study notes to a daily journal from a screenshot by sending the image and asking to record it, which extracts metrics and saves a structured progress entry to your daily goal diary.

Yes, you need to manually confirm goal diary entries extracted from images, as the VLM recognition identifies progress percentages and metrics but records the final structured logging locally with user confirmation.

The best way to extract progress percentages and counts from work screenshots is using VLM-based image recognition, which detects quantitative details in progress screenshots and formats them into consistent daily diary entries.

Limitations to tracking creative project checkpoints from uploaded images include relying on VLM recognition accuracy for extracting metrics, requiring user confirmation before local logging, and needing clear quantitative details within the image.