Rendering - HyperFrames

Render your Hyperframes compositions to MP4, MOV, WebM, GIF, or PNG sequences with the CLI. The rendering pipeline is frame-by-frame and seek-driven — see Deterministic Rendering for how this works under the hood.

Getting Started

Verify your environment

Run the diagnostics command to check for required dependencies:

Terminal

npx hyperframes doctor

Expected output:

✓ Node.js    v22.x
✓ FFmpeg      7.x
✓ FFprobe     7.x
✓ Chrome      (bundled)
✓ Docker      available

Preview your composition

Before rendering, preview your composition in the browser to verify it looks correct:

Terminal

npx hyperframes preview

Render to MP4

Run the render command from your project directory:

Terminal

npx hyperframes render --output output.mp4

Expected output:

⠋ Rendering composition "root" (30fps, standard quality)
✓ Captured 240 frames in 8.2s
✓ Encoded to output.mp4 (8.0s, 1920x1080, 4.2MB)

Rendering Modes

Local Mode
Docker Mode

Local Mode (default)

Uses Puppeteer (bundled Chromium) and your system’s FFmpeg. Fast for iteration during development.Requires: FFmpeg installed on your system. See Troubleshooting if FFmpeg is not found.

Terminal

npx hyperframes render --output output.mp4

Pros:

Fast startup, no container overhead
Can use your system GPU for Chrome/WebGL capture by default
Can use your system GPU for hardware-accelerated encoding (with --gpu)
Best for iterative development

Cons:

Output may vary across platforms due to font and Chrome version differences
Not suitable for CI/CD pipelines that require reproducibility

Docker Mode

Deterministic output with an exact Chrome version and font set. Use this for production renders and CI pipelines.Requires: Docker installed and running.

Terminal

npx hyperframes render --docker --output output.mp4

Pros:

Identical output on every platform — same Chrome, same fonts, same FFmpeg
The same pipeline used in production
Ideal for CI/CD and automated workflows

Cons:

Slower startup due to container initialization
Browser capture stays on the deterministic software-GL path
GPU encoding requires Docker host GPU passthrough and is not cross-platform on Docker Desktop

Docker mode uses chrome-headless-shell with BeginFrame control for frame-perfect, deterministic capture.

When to Use Each Mode

Scenario	Recommended Mode
Local development and iteration	Local
CI/CD pipeline	Docker
Sharing renders with a team	Docker
Quick preview export	Local
AI agent-driven rendering	Docker
Benchmarking performance	Local

Options

Flag	Values	Default	Description
`--output`	path	`renders/<name>.mp4`	Output file path
`--format`	mp4, mov, webm, gif, png-sequence	mp4	Output format (see Transparent Video below)
`--fps`	24, 30, 60	30	Frames per second
`--gif-loop`	0-65535	0	GIF loop count. `0` loops forever
`--quality`	draft, standard, high	standard	Encoding quality preset
`--crf`	0–51	—	Override CRF (lower = higher quality). Cannot combine with `--video-bitrate`
`--video-bitrate`	e.g. `10M`, `5000k`	—	Target bitrate encoding. Cannot combine with `--crf`
`--video-frame-format`	auto, jpg, png	auto	Source video frame extraction format. Use `png` for UI recordings, screen captures, and color-sensitive source videos
`--workers`	1-8 or `auto`	auto	Parallel render workers (see Workers below)
`--max-concurrent-renders`	1-10	2	Max simultaneous renders via the producer server (see Concurrent Renders below)
`--batch`	path	—	JSON array of variable rows (or `{ "rows": [...] }`), rendering one output per row
`--batch-concurrency`	integer	1	Maximum batch rows to render at once
`--batch-fail-fast`	—	off	Stop launching new batch rows after the first row failure
`--gpu`	—	off	GPU encoding (NVENC, VideoToolbox, AMF, VAAPI, QSV)
`--browser-gpu` / `--no-browser-gpu`	—	on locally, off in Docker	Use or opt out of host GPU acceleration for local Chrome/WebGL capture
`--hdr`	—	off	Force HDR output even if no HDR sources are detected (MP4 only). See HDR Rendering
`--sdr`	—	off	Force SDR output even if HDR sources are detected
`--docker`	—	off	Use Docker for deterministic rendering
`--quiet`	—	off	Suppress verbose output

Quality and Encoding

The --quality flag selects a preset that controls the H.264 CRF (Constant Rate Factor) and encoder speed:

Preset	CRF	x264 Preset	Best For
`draft`	28	ultrafast	Quick previews, iteration
`standard`	18	medium	General use — visually lossless at 1080p
`high`	15	slow	Final delivery, near-lossless quality

For finer control, use --crf or --video-bitrate to override the preset:

# Near-lossless quality (CRF 15 = very high quality, large file)
npx hyperframes render --crf 15 --output pristine.mp4

# Target a specific bitrate (useful for size-constrained delivery)
npx hyperframes render --video-bitrate 10M --output controlled.mp4

Tip: The default standard preset (CRF 18) is visually lossless at 1080p — most people cannot distinguish it from the source. Use --quality draft for faster iteration, or --quality high / --crf 10 when file size is no concern.

Animated GIF

Use GIF when the output needs to autoplay inline in GitHub PRs, READMEs, issue reports, and docs pages:

Terminal

npx hyperframes render --format gif --fps 15 --gif-loop 0 --output demo.gif

GIF output uses a two-pass FFmpeg palette encode (palettegen with diff statistics, then paletteuse with Sierra dithering) for better gradients and text edges than a single-pass conversion. GIFs are still much larger than MP4/WebM at the same dimensions, so prefer short compositions. GIF renders are capped at 30fps; pass --fps 15 for smaller files. GIF does not carry audio and only has 1-bit transparency. For transparent overlays, use --format webm, --format mov, or --format png-sequence instead. For UI recordings, screen captures, or other source videos where saturated interface colors matter, pass --video-frame-format png to extract source video layers as PNG before browser capture. The default auto mode preserves the historical behavior: alpha-capable sources use PNG, opaque sources use JPG.

GPU Acceleration

Hyperframes has two separate GPU acceleration surfaces:

--gpu uses a hardware video encoder in FFmpeg when one is available. Supported backends include VideoToolbox on macOS, NVENC on NVIDIA systems, AMD AMF on Windows, VAAPI on Linux, and Intel QSV on supported Windows/Linux hosts.
Browser GPU uses the host GPU for local Chrome/WebGL capture. It is enabled automatically for local renders and disabled in Docker. Use --no-browser-gpu to opt out.

Terminal

# Add hardware FFmpeg encoding to the default local browser-GPU render
npx hyperframes render --gpu --output encoded-fast.mp4

# Opt out of hardware Chrome/WebGL capture
npx hyperframes render --no-browser-gpu --output software-browser.mp4

# Use browser GPU plus hardware FFmpeg encoding
npx hyperframes render --gpu --output gpu.mp4

Browser GPU capture is local-mode only. It maps to platform-native Chrome GPU backends: Metal on macOS, D3D11 on Windows, and EGL on Linux. Use --no-browser-gpu or Docker mode when exact cross-machine reproducibility matters more than local render speed.

Workers

Each render worker launches a separate Chrome browser process to capture frames in parallel. More workers can speed up rendering, but each one consumes ~256 MB of RAM and significant CPU.

Default behavior

By default, Hyperframes uses half of your CPU cores, capped at 4:

Machine	CPU cores	Default workers
MacBook Air (M1)	8	4
MacBook Pro (M3)	12	4 (capped)
4-core laptop	4	2
2-core VM	2	1

This is intentionally conservative. Each worker spawns its own Chrome process, so the per-worker overhead is significant. Fewer workers avoids resource contention with FFmpeg encoding and your other applications.

Choosing a worker count

Terminal

# Explicit worker count
npx hyperframes render --workers 1 --output output.mp4

# Let Hyperframes pick based on your CPU
npx hyperframes render --workers auto --output output.mp4

# Maximum parallelism (use with caution on laptops)
npx hyperframes render --workers 8 --output output.mp4

Start with the default. If renders feel slow and your system has headroom (check Activity Monitor / htop), try increasing --workers. If you see high memory pressure or fan noise, reduce it.

When to use 1 worker

Short compositions (under 2 seconds / 60 frames) — parallelism overhead exceeds the benefit
Low-memory machines (4 GB or less)
Running renders alongside other heavy processes (video editing, large builds)

When to increase workers

Long compositions (30+ seconds) on a machine with 8+ cores and 16+ GB RAM
Dedicated render machines or CI runners
Docker mode on a well-provisioned host

Batch Rendering

Batch rendering runs the same composition once per variables row:

rows.json

[
  { "name": "Alice", "headline": "Welcome, Alice" },
  { "name": "Bob", "headline": "Welcome, Bob" }
]

Terminal

npx hyperframes render --batch rows.json --output "renders/{name}.mp4" --strict-variables

--output is a template. Use {index} or any scalar key from the row to make each path unique. Hyperframes preflights the full batch before rendering: malformed rows, missing placeholders, duplicate output paths, and strict variable mismatches fail before the first video starts. A manifest.json file is written next to the outputs with per-row status, output path, render time, duration when available, and error details. Rows continue after failures by default so a bad data row does not discard the rest of the batch. Add --batch-fail-fast to stop launching new rows after the first failure, or --json to stream machine-readable progress events while the manifest is updated.

Concurrent Renders

When multiple render requests hit the producer server simultaneously (common with AI agents), each render spawns its own set of Chrome worker processes. Too many concurrent renders can exhaust CPU and cause failures. The producer server uses a request-level semaphore to queue renders. Only maxConcurrentRenders renders execute at a time — additional requests wait in a FIFO queue until a slot opens.

Configuration

Terminal

# CLI flag
npx hyperframes render --max-concurrent-renders 2 --output output.mp4

# Environment variable (for the producer server)
PRODUCER_MAX_CONCURRENT_RENDERS=2

The default is 2 concurrent renders, which works well on 8-core machines where each render uses 2-3 workers.

Queue status

The producer server exposes a GET /render/queue endpoint that returns the current state:

{
  "maxConcurrentRenders": 2,
  "activeRenders": 1,
  "queuedRenders": 3
}

AI agents can poll this endpoint to decide whether to submit a render or wait.

SSE queue events

When using the streaming endpoint (POST /render/stream), queued requests receive a queued event before rendering begins:

{"type": "queued", "requestId": "...", "position": 2}

This lets agents report “waiting in queue” to users rather than appearing stuck.

Choosing a concurrency limit

Machine	CPU cores	Recommended limit
4-core VM	4	1
8-core workstation	8	2
16-core server	16	3-4
32-core render box	32	5-6

When in doubt, use 1. Renders will queue up and execute sequentially, but each one gets full CPU and finishes as fast as possible. This is better than 3 renders fighting for CPU and all finishing slowly — or failing.

Transparent Video

Hyperframes supports rendering with a transparent background — useful for overlays, lower thirds, subscribe cards, and any element you want to composite over other footage in a video editor.

Recommended format: MOV (ProRes 4444)

Terminal

npx hyperframes render --format mov --output overlay.mov

MOV with ProRes 4444 is the industry standard for transparent video. It works in all major video editors:

CapCut
Final Cut Pro
Adobe Premiere Pro
DaVinci Resolve
After Effects

ProRes MOV files are large (typically 5-40 MB for short clips) because ProRes is a high-quality intermediate codec optimized for editing, not delivery. This is expected — the same tradeoff Remotion and professional pipelines make.

Format comparison

Format	Codec	Transparency	Video editors	Browsers	File size
MOV	ProRes 4444	Yes	CapCut, Final Cut, Premiere, DaVinci, After Effects	No	Large
WebM	VP9	Yes	None (shows black background)	Chrome, Firefox	Small
PNG sequence	RGBA PNGs (no encoding)	Yes (lossless)	After Effects, Nuke, Fusion (image-sequence import)	No	Largest
MP4	H.264	No	All	All	Small

WebM VP9 alpha is technically supported but all major video editors ignore the alpha channel and render transparent areas as black. Only Chromium-based browsers (Chrome, Arc, Brave, Edge) decode VP9 alpha correctly. Safari does not support it. Use MOV for editor workflows and WebM only for browser-based playback.

PNG sequence (no encoding)

Terminal

npx hyperframes render --format png-sequence --output frames/

--format png-sequence skips the encoder entirely. The captured RGBA frames are copied to <output>/frame_NNNNNN.png (zero-padded) and, if the composition has audio, an audio.aac sidecar is written alongside. Use this when you want lossless frames — for compositing in After Effects / Nuke / Fusion, or as the input to a custom encode pipeline. --output is treated as a directory and is created if it doesn’t exist.

How it works

When you render with --format mov, --format webm, or --format png-sequence, Hyperframes:

Captures each frame as a PNG with alpha channel (instead of JPEG for MP4)
Sets Chrome’s page background to transparent via Emulation.setDefaultBackgroundColorOverride
Encodes with an alpha-capable codec (ProRes 4444 for MOV, VP9 for WebM); png-sequence skips encoding and writes the captured frames directly

Your composition’s HTML should not set a background on html or body — leave it unset so the transparent background comes through.

Authoring transparent compositions

<style>
  /* Do NOT set background on html/body — leave them transparent */
  * { margin: 0; padding: 0; box-sizing: border-box; }

  [data-composition-id="my-overlay"] {
    position: relative;
    width: 1920px;
    height: 1080px;
    overflow: hidden;
    /* No background here either */
  }
</style>

Only the visible elements (cards, text, images) will appear in the final video. Everything else will be transparent.

Verifying transparency

In a browser: Open the MOV file — it won’t play (ProRes is not a browser codec). Instead, render a WebM copy and open it in Chrome on a checkerboard background page.
In a video editor: Import the MOV file and place it on a track above other footage. Transparent areas should show the footage below.
Online tool: Use rotato.app/tools/transparent-video to verify your MOV or WebM has working transparency.

Tips

Use draft quality during development for fast previews. Switch to standard or high for final output.

Use npx hyperframes benchmark to find optimal settings for your system
Docker mode is slower but guarantees identical output across platforms
For compositions with many frames, --gpu can significantly speed up local encoding

Next Steps

Deterministic Rendering

Understand the determinism guarantees

HDR Rendering

Render HDR10 MP4 from HDR video and image sources

Cloud Rendering

Render on HeyGen’s hosted cloud — no local Chrome or FFmpeg

CLI Reference

Full list of CLI commands and flags

Troubleshooting

Fix common rendering issues

​Getting Started

​Rendering Modes

​Local Mode (default)

​Docker Mode

​When to Use Each Mode

​Options

​Quality and Encoding

​Animated GIF

​GPU Acceleration

​Workers

​Default behavior

​Choosing a worker count

​When to use 1 worker

​When to increase workers

​Batch Rendering

​Concurrent Renders

​Configuration

​Queue status

​SSE queue events

​Choosing a concurrency limit

​Transparent Video

​Recommended format: MOV (ProRes 4444)

​Format comparison

​PNG sequence (no encoding)

​How it works

​Authoring transparent compositions

​Verifying transparency

​Tips

​Next Steps

Deterministic Rendering

HDR Rendering

Cloud Rendering

CLI Reference

Troubleshooting

Getting Started

Rendering Modes

Local Mode (default)

Docker Mode

When to Use Each Mode

Options

Quality and Encoding

Animated GIF

GPU Acceleration

Workers

Default behavior

Choosing a worker count

When to use 1 worker

When to increase workers

Batch Rendering

Concurrent Renders

Configuration

Queue status

SSE queue events

Choosing a concurrency limit

Transparent Video

Recommended format: MOV (ProRes 4444)

Format comparison

PNG sequence (no encoding)

How it works

Authoring transparent compositions

Verifying transparency

Tips

Next Steps