Zebracat AI is a text-to-video platform that creates fully edited social media videos, ads, and explainers from a prompt, script, or blog URL. The AI handles scripting, scene selection, voiceovers in 170+ languages, music, and captions automatically. Videos are typically ready in 2-5 minutes. It's built for marketers, content creators, social media managers, agencies, and founders who want to scale video output without hiring editors or learning complex editing software.

• Text-to-Video Generation: Turn prompts, scripts, or blog URLs into fully edited videos with AI-generated visuals, voiceovers, and captions in minutes.
• AI Voices & Voice Cloning: Create videos with realistic AI voices in multiple languages or clone your own voice for personalized narration.
• AI Avatars: Add lifelike AI presenters to your videos or create custom digital avatars for product demos, tutorials, and branded content.
• Smart Scene Matching: The AI breaks your script into scenes and matches each section with relevant stock footage, animations, and transitions automatically.
• Blog-to-Video Conversion: Paste a blog URL and Zebracat extracts the key points to generate a short video version of your written content.
• Brand Kit Customization: Apply your logo, fonts, and color palette to every video to keep output consistent with your brand.
• AI-Selected Music & Effects: Background music and dynamic visual effects are matched to the emotional tone of your script automatically.
• Auto-Captions: Built-in captioning sized for short-form platforms like TikTok, Reels, and Shorts.

• Fast Turnaround: Videos are typically ready in 2-5 minutes, cutting production time from days to minutes.
• Beginner-Friendly: Users with no editing skills can produce social-ready videos thanks to the simple prompt-based workflow.
• Multilingual Support: Create videos in multiple languages with AI voices, making it useful for global content teams and multilingual campaigns.
• Commercial Rights on Paid Plan: All exports on paid tiers can be used in ads, campaigns, and client work.

• Synthetic Look on Human Content: AI-generated faces and lifestyle footage often look off, making it less suitable for human-centric content.
• Limited Storyboard Preview: Fixing visual errors usually requires a full re-render, which consumes credits each time.
• Stock Footage Mismatches: The AI sometimes picks irrelevant clips for the script, and regenerations cost additional credits.
• Template Rigidity: Most templates have fixed layouts, limiting how much you can reposition elements or build custom multi-scene transitions.
• Credit-Based Usage Limits: Some features, including AI visuals, voices, avatars, and exports, use credits, so frequent video creation may require careful management.

• Social Media Ads: Performance marketers generate short, punchy video ads from product descriptions or campaign briefs, then A/B test variations without filming or hiring editors.
• Blog Repurposing: Content marketers paste blog URLs to convert long-form articles into bite-size videos for LinkedIn, YouTube Shorts, and TikTok, extending the reach of existing content.
• SaaS Explainer Videos: Product teams turn feature announcements or documentation into short explainers using AI avatars and voiceovers, useful for onboarding and feature launches.
• Faceless Social Content: Creators running faceless TikTok or Reels channels produce videos at scale with AI voices and stock visuals, keeping a consistent posting schedule.
• Ecommerce Product Videos: Online stores create product highlight reels and short promo clips from product copy, helping smaller brands compete with bigger ad budgets.
• Multilingual Campaigns: Global teams generate the same video in dozens of languages using AI voice cloning to keep brand voice consistent across markets.