Create digital human podcasts and e-commerce videos with AI Agents
Using an AI Agent combined with Renoise MCP and Remotion, you can fully automate the generation of digital human videos featuring scripts, lip-syncing, audio processing, subtitles, and professional-grade packaging using just a single photo and a one-sentence input. It comes with 5 built-in editing styles, 48 creator-grade packaging components, and multi-language support.
Added 2026-10-31 · originally published 2026-10-31
Steps
- 1Prepare a digital human photo and input a single-sentence video requirement description (such as instructions for creating an e-commerce sales ad).
- 2Have the AI Agent run environment setup checks (such as Renoise MCP, ffmpeg, and whisper).
- 3The Agent diagnoses the content and recommends 2 editing styles. Once confirmed, it generates brief.json and script.json (each segment ≤ 15 seconds).
- 4The Agent quotes the required credits and waits for confirmation, generating the first segment for review first, and then batch-generating the remaining segments after approval.
- 5Perform scope downloading, whisper backtest verification, and frame extraction checks to ensure no subtitle burning issues occur.
- 6Perform unified audio processing (1/3 octave spectral matching, de-essing, shared reverb, and loudness normalization), and render the output based on Remotion templates and 48 packaging components.
Ideas for Chinese platforms
This solution can be seamlessly migrated to automated operations on platforms such as Xiaohongshu, Douyin, and WeChat Official Accounts, enabling low-cost, batch generation of digital human e-commerce videos, knowledge explanation shorts, and cover thumbnails using just a single real-person photo and one sentence.
Using a [your photo path] and the following one-sentence requirement, create a [video duration]-second [video type, e.g., live e-commerce ad / product recommendation] using Renoise MCP and the digital human workflow. The script and theme are: [enter your video theme and copywriting requirements here].
Related use cases
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