Contact person: AI Video Assembly Script

Phone:Show

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Location: Nottingham, United Kingdom

Budget: Recommended by industry experts

Time to start: As soon as possible

Project description:
"The aim is to streamline my daily production of broadcast or podcast videos with an AI-powered workflow that behaves much like Opus AI. Around 75 % of the functionality can mirror Opus’ existing logic; the remaining 25 % must stay open for quick, code-level customisation so I can tweak branding elements, templates and publishing rules as my channel evolves.

The script has one job: pull together the raw assets I shoot each day—camera feed, screen-recordings and separate audio tracks—then deliver a finished episode straight to YouTube without extra clicks. To do that it must handle:

• Automatic video editing that trims dead space, applies jump cuts and inserts a branded intro/outro
• Audio synchronisation across multiple tracks
• Subtitle generation (English, burned-in and .srt)
• Full assembly of all video assets followed by export and direct upload to YouTube (1080p, H.264)

Modularity is critical. Clear, well-commented code—whether in Python, Node.js or another sensible stack—should let me swap style presets, change caption fonts or override the rendering pipeline without rewriting everything. Leveraging FFmpeg, Whisper, or similar libraries/services is encouraged as long as licensing remains commercial-friendly.

Deliverables
1. Source code with a brief README that explains installation, config files and how to inject new styling rules
2. A working demo that processes one sample asset folder end-to-end and uploads the result to an unlisted YouTube video
3. Short video walkthrough (screen-recording) showing the tool in action

A successful hand-off means I can drop tomorrow’s footage into a folder, run a single command (or press one button on a minimal web dashboard) and have a polished, captioned video waiting in my YouTube Studio queue.
Any Already developed script for sale will be preferable to reduce development cost." (client-provided description)