Wizardshot

Analyzes screen recordings to automatically identify and extract discrete user actions as individual steps. The AI detects UI interactions, navigation changes, and state transitions to segment the recording into logical tutorial steps without manual frame-by-frame editing.

Generates natural language descriptions for each detected step using AI. The system analyzes what happened in each step and creates clear, concise written instructions that explain the action to end users.

Maintains version history of guides and enables easy updates when processes or UI changes. Allows creators to track changes, revert to previous versions, and publish updates without recreating guides from scratch.

Adds interactive components to guides such as clickable hotspots, expandable sections, and interactive walkthroughs that allow users to follow along step-by-step. Transforms static guides into more engaging, hands-on learning experiences.

Automatically captures and annotates screenshots from the screen recording, adding visual indicators like arrows, highlights, and callouts to emphasize important UI elements. Reduces manual annotation work by intelligently identifying elements that need highlighting.

Transforms a complete screen recording into a fully formatted, shareable tutorial guide in a single operation. Combines step detection, description generation, and screenshot annotation into one end-to-end workflow that produces a ready-to-publish guide.

Provides an interface to manually edit and customize AI-generated guides, including reordering steps, modifying descriptions, adjusting annotations, and refining content. Allows creators to correct AI mistakes and tailor guides to specific needs.

Enables guides to be shared via shareable links and embedded directly into websites, help centers, or documentation portals. Provides multiple distribution options without requiring additional hosting or setup.

Automatically generates or translates guides into multiple languages, enabling creators to reach international audiences without manually translating content. Supports localization of both text and visual elements.

Tracks how users interact with published guides, including view counts, completion rates, and time spent on each step. Provides insights into which guides are most helpful and where users struggle.

Offers pre-designed templates and styling options to customize the visual appearance of guides. Allows creators to apply consistent branding and formatting without design skills, though customization is limited.

Processes multiple screen recordings in sequence to generate guides in bulk, enabling creators to produce documentation for entire feature sets or product updates at once. Streamlines workflow for teams creating many guides simultaneously.