TikTok AI Faceswap Editor
Budget / Salary₹12,500–37,500
TypeFreelance project
LocationRemote
Posted1 hour ago
I need a compact, AI-driven faceswap editor that works exclusively with pre-recorded videos and lets me finish everything in post before sending the clip to TikTok. The workflow I have in mind is simple: import a video, identify the source and target faces, preview the swap frame-by-frame, then render and export in a TikTok-friendly format (vertical, audio preserved, high-quality H.264).
You are free to build on libraries such as MediaPipe, DeepFaceLab, or any other GAN-based solution, as long as the final tool runs reliably on consumer hardware and keeps processing times reasonable. An intuitive timeline and basic trim/crop controls would be great, but the faceswap accuracy and overall stability are the real priorities.
Deliverables
• A working application (desktop or browser-based) that performs face swaps on uploaded videos in post-processing
• Preview window with on/off toggle to compare original vs. swapped frames
• Export settings pre-set for TikTok (9:16, up to 60 s, 1080p)
• Brief setup guide and example project file to show everything in action
If you have proven experience with video ML pipelines and can demonstrate crisp, artifact-free swaps, I’d love to see a sample.
You are free to build on libraries such as MediaPipe, DeepFaceLab, or any other GAN-based solution, as long as the final tool runs reliably on consumer hardware and keeps processing times reasonable. An intuitive timeline and basic trim/crop controls would be great, but the faceswap accuracy and overall stability are the real priorities.
Deliverables
• A working application (desktop or browser-based) that performs face swaps on uploaded videos in post-processing
• Preview window with on/off toggle to compare original vs. swapped frames
• Export settings pre-set for TikTok (9:16, up to 60 s, 1080p)
• Brief setup guide and example project file to show everything in action
If you have proven experience with video ML pipelines and can demonstrate crisp, artifact-free swaps, I’d love to see a sample.
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