Refine AI-Edited Videos
Budget: ₹12,500 – ₹37,500 INR
I already have an AI pipeline that ingests raw source videos, identifies sections for hook, social proof, problem, solution, and then relies on FFmpeg to stitch everything into a finished asset. The analysis stage works well, but the final render feels disjointed—clips butt against one another, pacing wobbles, and the visual identity drifts from shot to shot.
Here’s what I want to fix:
• Flow and transitions – I need smooth scene changes, consistent pacing between beats, and tasteful transition effects that feel deliberate rather than automated.
• Consistency in theme – every clip should share a uniform visual style so the viewer never senses they’re watching separate sources.
You’ll be working directly in the existing Python codebase (OpenAI + whisper + some custom CV) and the FFmpeg command stack that does the actual compile. If you prefer to bring in a different AI video-editing library or post-processing step before FFmpeg, I’m open as long as the final call remains scriptable.
Acceptance will be a short test project: I’ll provide a folder of six raw clips plus the current JSON analysis output; your updated workflow should return a single mp4 that plays with coherent pacing, on-brand color treatment, and transitions that feel intentional.
Let me know the approach you’d take—whether it’s frame-level analysis for cut points, LUT application for style matching, dynamic cross-dissolves keyed to audio beats, or another strategy—and how quickly you can turn around the first improved render.
Here’s what I want to fix:
• Flow and transitions – I need smooth scene changes, consistent pacing between beats, and tasteful transition effects that feel deliberate rather than automated.
• Consistency in theme – every clip should share a uniform visual style so the viewer never senses they’re watching separate sources.
You’ll be working directly in the existing Python codebase (OpenAI + whisper + some custom CV) and the FFmpeg command stack that does the actual compile. If you prefer to bring in a different AI video-editing library or post-processing step before FFmpeg, I’m open as long as the final call remains scriptable.
Acceptance will be a short test project: I’ll provide a folder of six raw clips plus the current JSON analysis output; your updated workflow should return a single mp4 that plays with coherent pacing, on-brand color treatment, and transitions that feel intentional.
Let me know the approach you’d take—whether it’s frame-level analysis for cut points, LUT application for style matching, dynamic cross-dissolves keyed to audio beats, or another strategy—and how quickly you can turn around the first improved render.