Automated storytelling for teams using video AI workflows
CineGenix is an AI-driven video editing and production assistant that automates assembly, captioning, and style-matching for short and long-form content. The platform's primary capability is automated scene detection and adaptive editing that creates publish-ready cuts based on pacing, brand templates, and spoken content. Its key differentiator is real-time style transfer that applies consistent color grading, motion graphics, and audio leveling across multiple clips, saving manual tuning. CineGenix serves social media teams, marketing agencies, and in-house video producers who need to scale output without hiring more editors. Pricing is accessible with a freemium tier and paid plans starting from $29/month.
CineGenix launched in 2020 as a specialist video AI tool aimed at mid-market creative teams and agencies seeking to scale video production while preserving editorial quality. Born out of a post-production startup, CineGenix positions itself between simple clip generators and full NLEs by offering AI-accelerated editing workflows that integrate with professional toolchains. Its core value proposition is delivering consistent, brand-aligned videos faster: automatic scene assembly, unified color profiles, and intelligent audio mixing reduce manual hours while maintaining human-in-the-loop control for final creative decisions.
Under the hood CineGenix blends visual and audio models to perform several tangible tasks. First, automated scene detection segments raw footage into edit-ready shots, then applies pacing rules (e.g., dialogue-driven vs. action-driven) to propose an initial cut. Second, style transfer maps a chosen brand template—color LUTs, lower-thirds, and motion curves—across all clips so every export is visually consistent without frame-by-frame grading. Third, speech-to-text captioning produces time-synced captions and generates searchable transcripts with speaker separation, enabling quick clip repurposing. Fourth, CineGenix includes shot-matching that aligns exposure and color across multi-camera shoots and a batch audio normalizer that removes background hum and levels dialog to -23 LUFS for broadcast-safe output.
Pricing is offered as a freemium model with transparent tiers. The Free plan allows up to 5 exports per month at 720p, auto-captioning limited to 30 minutes total, and access to 2 brand templates. The Creator plan is $29/month (annual billed) and removes export limits, upgrades resolution to 1080p, adds 5 custom templates, and doubles automated transcription minutes. The Team plan is $99/month per seat and includes 4K exports, Frame.io and Premiere plugin sync, priority render queue, 10 team templates, and 2TB cloud storage. Enterprise contracts provide SSO, on-premise render nodes, custom model training, and volume licensing; pricing is quote-based and includes implementation support.
CineGenix is used by a range of professionals: social media managers use it to turn weekly shoots into 40+ short-form posts with uniform branding, while post-production supervisors use it to pre-cut dailies and reduce initial editorial passes by up to 60%. Independent course creators accelerate lecture editing and captioning for accessibility compliance. Compared to Descript, CineGenix leans heavier on visual style transfer and multi-camera color matching rather than transcript-first editing, making it a stronger fit when consistent visual identity across many clips is the priority.
CineGenix's real-time style transfer matched color across 50 clips in minutes and saved our social queue.
Automated scene detection assembled first-pass cuts in under an hour from a day shoot—cut our assembly time massively.
Captions and audio leveling are solid; brand templates keep posts consistent across platforms without extra tuning.