Create Video

Create videos from a text prompt using HeyGen's Video Agent (POST /v3/video-agents). The default for most video requests — AI handles script, avatar, visuals...

Generate complete videos from a text prompt. Describe what you want and the AI handles script writing, avatar selection, visuals, voiceover, pacing, and captions automatically.

Authentication

All requests require the X-Api-Key header. Set the HEYGEN_API_KEY environment variable.

curl -X POST "https://api.heygen.com/v3/video-agents" \
  -H "X-Api-Key: $HEYGEN_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{"prompt": "Create a 60-second product demo video."}'

Tool Selection

If HeyGen MCP tools are available (mcp__heygen__*), prefer them over direct HTTP API calls — they handle authentication and request formatting automatically.

Task	MCP Tool	Fallback (Direct API)
Generate video from prompt	mcp__heygen__generate_video_agent	POST /v3/video-agents
Check video status / get URL	mcp__heygen__get_video	GET /v3/videos/{video_id}
List account videos	mcp__heygen__list_videos	GET /v3/videos
Delete a video	mcp__heygen__delete_video	DELETE /v3/videos/{video_id}

If no HeyGen MCP tools are available, use direct HTTP API calls as documented in the reference files.

Default Workflow

Always use prompt-optimizer.md guidelines to structure prompts with scenes, timing, and visual styles.

With MCP tools:

1. Write an optimized prompt using prompt-optimizer.md → visual-styles.md
2. Call mcp__heygen__generate_video_agent with prompt and config (duration_sec, orientation, avatar_id)
3. Call mcp__heygen__get_video with the returned video_id to poll status and get the download URL

Without MCP tools (direct API):

1. Write an optimized prompt using prompt-optimizer.md → visual-styles.md
2. POST /v3/video-agents — see video-agent.md
3. GET /v3/videos/<id> — see video-status.md

Reference Files

Read these as needed — they contain endpoint details, request/response schemas, and code examples (curl, TypeScript, Python).

Core workflow:

• references/prompt-optimizer.md — Writing effective prompts (scenes, timing, visual styles)
• references/visual-styles.md — 20 named visual styles with full specs
• references/prompt-examples.md — Production prompt examples and templates
• references/video-agent.md — POST /v3/video-agents request fields, response format, file inputs

Foundation:

• references/video-status.md — GET /v3/videos/{id} polling and download
• references/webhooks.md — Webhook endpoints and events
• references/assets.md — Uploading images, videos, audio as references
• references/dimensions.md — Resolution and aspect ratios
• references/quota.md — Credit system and usage limits

Best Practices

1. Optimize your prompt — quality depends entirely on prompt structure. Always use the prompt optimizer
2. Lock avatar if needed — pass avatar_id for consistency across videos
3. Specify voice — pass voice_id for a specific narrator voice
4. Upload reference files — help the agent understand your brand/product
5. Iterate on prompts — refine based on results; Video Agent is great for quick iterations