Vance Ingalls 37404f23da feat(whisper+captions): language detection, audio-reactive captions, multilingual defaults (#175)
## Summary

**Whisper improvements:**
- Auto-detect language and switch from `.en` to multilingual model when needed
- Detect speech onset in WAV to strip hallucinated words before speech begins
- Merge whisper-cpp token fragments: contractions (`didn` + `'t` → `didn't`), split capitals (`C` + `aught` → `Caught`), dropped-g (`shin` + `in'` → `shinin'`)
- Interpolate zero-duration word clusters for reliable karaoke timing

**Captions skill updates (folded from #176):**
- Rewrite script-to-style mapping as an energy detection table (high → low) with mandatory animation requirements: karaoke baseline, 2+ highlight techniques, kinetic exits
- Replace `tl.call()` per-frame audio-reactive pattern with group-level GSAP tweens — read peak bass/treble for each group's time range and modulate entrance intensity at build time
- Add transcript quality check with automatic retry rules (>20% music tokens = retry with larger model)
- Add caption word structure lint rule (`.caption-group` + `<span>`) for studio editor compatibility

**Multilingual defaults (folded from #186):**
- Default whisper model changed from `small.en` to `small` to prevent silent translation of non-English audio
- Added non-negotiable language rule to captions skill

## Test plan

- [ ] `pnpm test` passes (contraction merging, fragment merging, zero-duration interpolation, speech onset)
- [ ] Transcribe non-English audio — verify it transcribes in original language, not translates
- [ ] Skill files render correctly, cross-references resolve
- [ ] `dynamic-techniques.md` audio-reactive section uses `tl.to()`/`tl.set()` only, no `tl.call()` loops

🤖 Generated with [Claude Code](https://claude.com/claude-code)
2026-04-02 00:08:41 -07:00
2026-03-21 22:43:56 -07:00
2026-03-21 22:43:56 -07:00
2026-03-21 22:43:56 -07:00

Hyperframes

npm version License Node.js

Write HTML. Render video. Built for agents.

Hyperframes is an open-source video rendering framework that lets you create, preview, and render HTML-based video compositions — with first-class support for AI agents via MCP.

Why Hyperframes?

  • HTML-native — AI agents already speak HTML. No React required.
  • Frame Adapter pattern — bring your own animation runtime (GSAP, Lottie, CSS, Three.js).
  • Deterministic rendering — same input = identical output. Built for automated pipelines.
  • AI-first design — not a bolted-on afterthought.

Quick Start

npx hyperframes init my-video
cd my-video

Then open the project with your AI coding agent (Claude Code, Cursor, etc.) — it has HyperFrames skills installed and knows how to create and edit compositions.

npx hyperframes preview      # preview in browser (live reload)
npx hyperframes render   # render to MP4

Requirements: Node.js >= 22, FFmpeg

Documentation

Full documentation at hyperframes.heygen.com — start with the Quickstart, then explore guides, concepts, API reference, and package docs.

How It Works

Define your video as HTML with data attributes:

<div id="stage" data-composition-id="my-video" data-start="0" data-width="1920" data-height="1080">
  <video
    id="clip-1"
    data-start="0"
    data-duration="5"
    data-track="0"
    src="intro.mp4"
    muted
    playsinline
  ></video>
  <img id="overlay" data-start="2" data-duration="3" data-track="1" src="logo.png" />
  <audio
    id="bg-music"
    data-start="0"
    data-duration="9"
    data-track="2"
    data-volume="0.5"
    src="music.wav"
  ></audio>
</div>

Preview instantly in the browser. Render to MP4 locally. Let AI agents compose videos using tools they already understand.

Packages

Package Description
hyperframes CLI — create, preview, lint, and render compositions
@hyperframes/core Types, parsers, generators, linter, runtime, frame adapters
@hyperframes/engine Seekable page-to-video capture engine (Puppeteer + FFmpeg)
@hyperframes/producer Full rendering pipeline (capture + encode + audio mix)
@hyperframes/studio Browser-based composition editor UI

AI Agent Skills

HyperFrames ships skills that teach AI coding agents (Claude Code, Gemini CLI, Codex, Cursor) how to write correct compositions and GSAP animations. Use these instead of writing from scratch — they encode framework-specific patterns that generic docs don't cover.

# Install all skills (HyperFrames + GSAP) — runs automatically during `hyperframes init`
npx hyperframes skills

# Or install to a specific agent
npx hyperframes skills --claude
npx hyperframes skills --cursor

Or via npx skills add

# HyperFrames skills (hyperframes-compose, hyperframes-captions)
npx skills add heygen-com/hyperframes

# GSAP skills (gsap-core, gsap-timeline, gsap-scrolltrigger, gsap-plugins, gsap-performance, gsap-utils, gsap-react, gsap-frameworks)
npx skills add greensock/gsap-skills

Installed Skills

Source Skills What they teach
HyperFrames hyperframes-compose, hyperframes-captions HTML composition structure, class="clip" rules, data-* attributes, timeline registration, rendering constraints
GSAP gsap-core, gsap-timeline, gsap-performance, gsap-plugins, gsap-scrolltrigger, gsap-utils, gsap-react, gsap-frameworks Core API, timeline sequencing, ScrollTrigger, plugin usage, performance best practices

In Claude Code, invoke with /hyperframes-compose, /hyperframes-captions, /gsap-core, etc.

Contributing

See CONTRIBUTING.md for guidelines on how to contribute.

License

See LICENSE for details.

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Description
Write HTML. Render video. Built for agents.
Readme
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