AI copilot that helps video editors find clips, add captions, and create viral content from raw footage
Open-source SDXL-based AI model for native high-resolution anime art generation
Stage
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Founded
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Based in
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Pricing model
Free trial
Open source
Pricing
Basic plan $15 per month includes Clip Finder, auto captioning, and captions export. Pro plan $35 per month adds Content Repurposing Suite, B-Roll Search, AI generated B-Roll, and Podcast Pro Suite. Annual plans save 20%.
Free for personal and research use; prohibits closed-source proprietary monetization
Key features
Multilingual auto captions in 40+ languages with 98% accuracy
Content repurposing to extract engaging social media highlights
B-Roll search and generation
Offline processing - all work happens on your device
NLE integration with Adobe Premiere Pro and DaVinci Resolve
SRT export for captions to NLE or YouTube
Virality insights to make content more shareable
Podcast Pro Suite for podcast editing
Prompt Editor to generate rough cuts from descriptions
Native 1536x1536 high-resolution generation without upscaling
Hybrid Prompting System combining natural English and Danbooru tags
Stable text encoder fine-tuning for superior concept understanding
Trained on comprehensive Danbooru2023 dataset
Full compatibility with ComfyUI, Automatic1111, Forge, and Draw Things
Superior anatomy rendering with flawless hands and character details
V-Prediction architecture for enhanced dynamic range and contrast
Highly flexible base canvas for LoRA training and custom checkpoints
What makes it different
Saves up to 20 hours per week per editor on average
Reduces search time by 92% from hours to minutes
Processes all footage offline on your device for privacy
Supports 40+ languages including Hinglish and Roman-Urdu
Integrates directly into existing NLE workflows
Only open-source SDXL model natively trained at 1536x1536 resolution
Stylistically neutral untuned base canvas unlike Pony Diffusion
Continuous rapid iterations from v0.1 to v3.5 with aggressive optimization
Thousands of compatible community-trained LoRAs and derivatives