Generates short explainer videos from text prompts using AI, creating visual content without requiring recording equipment or editing skills. Users describe what they want to show, and the AI produces a draft video with visuals, text overlays, and optional voiceover.
One-click screen recording with intelligent area detection, automatic webcam framing, and background noise reduction. Records full screen, specific windows, or custom regions with options for system audio, microphone, or both.
Automatically analyzes longer recordings and generates concise summaries with key points, timestamps, and actionable insights. Can extract text from speech and identify important segments based on content analysis.
Uses speech-to-text AI to automatically generate accurate captions for videos, with options to edit captions, adjust timing, and export caption files in multiple formats (SRT, VTT).
Post-recording editing tools that allow users to add arrows, text boxes, shapes, blur effects, and clickable hotspots to guide viewer attention and provide additional context to specific areas of the recording.
Generates short, branded links for sharing videos with options for password protection, expiration dates, and view limits. Provides analytics on views, engagement, and viewer attention patterns.
Distributed teams use Zight Video to replace lengthy written explanations with quick video updates, reducing miscommunication and meeting time. Product managers can demonstrate new features, developers can show bugs with screen recordings, and designers can provide visual feedback. The asynchronous nature allows team members in different time zones to communicate effectively without scheduling conflicts, while analytics show which team members have viewed important updates.
Support teams create video tutorials showing exactly how to solve common customer issues, reducing support ticket volume and improving customer satisfaction. Instead of writing lengthy email instructions, agents can record a 60-second video demonstrating the solution. These videos can be organized in knowledge bases, shared via support portals, or sent directly to customers who prefer visual guidance over text-based instructions.
Sales teams use AI-generated videos to create personalized product demonstrations for prospects without recording new content each time. By inputting prospect-specific information into the AI, they can generate tailored demos highlighting relevant features. For live demos, they can record customized walkthroughs that prospects can review later, increasing conversion rates and reducing repetitive demo scheduling.
Educators and course creators use Zight Video to produce engaging instructional content quickly. They can record lectures with screen sharing and webcam, add interactive annotations to emphasize key points, and generate automatic captions for accessibility. The AI summarization feature helps students review long lectures by extracting key concepts, while instructors can use analytics to identify which parts of their videos students rewatch most frequently.
Developers record bugs with exact reproduction steps, showing console errors, user interactions, and system behavior in a way that static screenshots cannot capture. QA testers can create visual test cases and expected behaviors. The annotation tools allow circling specific UI elements and adding text explanations directly on the recording, making bug reports more actionable and reducing back-and-forth between developers and testers.
Leaders and executives use Zight Video to communicate important announcements, strategy updates, and company news in a more personal, engaging format than email. The AI features allow quickly generating polished videos from talking points without requiring video production expertise. Analytics provide visibility into how many employees viewed the message and which parts received the most attention, helping gauge organizational alignment.
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