AI-assisted scene-to-video production workflow with voiceover and MP4 export
AI Content Studio is a working web-based software project for video content teams. It provides project and scene management, visual style profiles, manual PNG/JPG image uploads, narration workflows, FFmpeg-based video assembly, and MP4 export. The project uses Python, FastAPI, JavaScript, FFmpeg, Supabase, Cloudflare R2, and Railway. In a hosted two-scene demo, images persisted, narration was generated and an MP4 was downloaded and verified with picture and sound. The current automated suite includes 48 passing tests. Best suited to faceless-video agencies, content studios, or developers looking to customize a production tool. The proposed $2,000 price covers a negotiated source-code project acquisition and documentation; the exact IP rights, infrastructure handover and support scope will be agreed in writing. Important: this is a demonstrable software project, not an established revenue-generating SaaS business. A clean installation on a new database, independent security acceptance tests and long-run load tests remain pending. Third-party API usage and hosting may incur separate costs. A private walkthrough is available upon request.
Next step: <p>A buyer could customize the scene generation and editing workflow for an agency, improve provider integrations, add a durable background job queue, run clean-room security tests and deploy to their own Supabase/R2 accounts. These are opportunities, not claims of existing revenue.</p>
For sale
Asking price: $2,000 USD
What's included
Source code
Source repository and existing technical handover documentation. The exact licence/IP assignment, design asset ownership and support terms are to be specified in a written agreement. Existing production accounts, private user data, API credentials and third-party services are NOT included.
Reason for selling
I am an independent developer looking to transfer the project to a buyer who can adapt and develop it further for a commercial content-production workflow.
NxNative
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