voicevox

How I Used Claude Code's Parallel Agents to Auto-Generate Videos from 882 Blog Posts

Introduction I run a bilingual (Japanese/English) tech blog with 882 articles. To repurpose this content as YouTube videos, I built an automated pipeline combining Claude Code’s parallel agent feature with VOICEVOX text-to-speech. In the process, I hit Claude Code’s weekly usage limit — something that reportedly affects only the top 2% of users. Here’s how the pipeline works and what I learned. Pipeline Overview Blog article (.md) ↓ Claude Code parallel agents (10 concurrent) Dialogue script (sections.json) ↓ VOICEVOX × 3 parallel workers Narrated video (video.mp4) ↓ YouTube API Published on YouTube 1. Script Generation (Claude Code) Each article is read and converted into a two-character dialogue script (sections.json). Using Claude Code’s Agent tool, 10 agents run simultaneously for parallel processing. ...

March 12, 2026 · 4 min · Nakamura

Auto-Generating VRM Character Animation Videos with Three.js + Puppeteer

Introduction What if we could automatically convert tech blog posts into VTuber-style explainer videos? Starting from that idea, I built a pipeline that renders VRM characters frame-by-frame using Three.js + Puppeteer, syncs them with VOICEVOX speech, and produces finished videos. In this post, I’ll share the lessons learned and pitfalls encountered during implementation. Overall Pipeline The processing flow is as follows: Load a Markdown article → Generate a section-divided script using an LLM (OpenRouter API) VOICEVOX generates speech audio (WAV) and phoneme timing for each section Three.js + @pixiv/three-vrm renders a VRM model on headless Chrome, outputting lip-synced animation as sequential PNG frames based on phoneme data Auto-generate slide images (HTML → headless Chrome → PNG) FFmpeg composites the slide background + VRM animation + audio into an MP4 video A Python script serves as the orchestrator, invoking the Node.js VRM rendering script as a child process. ...

March 9, 2026 · 8 min · Nakamura