HeyGen Avatar V

HeyGen Avatar V - Talking Avatar Video Generation

What is HeyGen Avatar V?

HeyGen Avatar V is HeyGen's latest talking-avatar engine, served on Segmind as a synchronous video API. Built on a diffusion-style audio-to-expression model, it generates studio-quality talking-head clips from text or audio in roughly 60–120 seconds. Unlike older avatar models that simply sync lips to phonemes, Avatar V interprets tone, rhythm, and emotion — producing natural micro-expressions, head tilts, and pauses that match the cadence of the script. Pair the API with heygen-avatar-v-create to train a Digital Twin from a 15-second reference video and use your own likeness.

Key Features

• •24 production-ready avatars in business, casual, fitness, and medical scenes
• •20 text-to-speech voices plus support for raw HeyGen voice_id overrides
• •Drive lip sync from prompt text or any public audio_url
• •720p, 1080p, and 4K outputs at 16:9, 9:16, 4:5, 5:4, 1:1, or auto
• •Optional SRT caption generation and background removal (webm alpha channel)
• •One-shot Digital Twin creation by passing a video_url reference clip

Best Use Cases

Confirmed in testing: 1080p 16:9 clips render with natural lip sync, head and eye movement, and clean ambient lighting in under 90 seconds end-to-end. The model excels at explainer videos, sales outreach, product demos, training content, and personalized marketing — anywhere you'd otherwise hire on-camera talent. The Digital Twin path makes it practical to scale founder-led video, internal comms, and social-first ads without a studio.

Prompt Tips and Output Quality

Keep the spoken prompt natural and conversational — Avatar V mirrors vocal rhythm, so written-for-the-eye copy reads stiffly. For best results, pair a matched voice with the avatar's vibe (e.g., Aaron for executives, Mia Starset for upbeat creators). Use audio_url when you need exact intonation; pass cleanly recorded narration in MP3 or WAV.

How to Use HeyGen Avatar V on Segmind

HeyGen Avatar V is the fastest path to studio-quality talking-head videos from a simple POST request. Below is how to drive the API for the most common scenarios.

Quick Start (text-to-video)

Pick an avatar from the dropdown, set a natural-language prompt, choose a voice, and submit. Defaults of resolution: "1080p" and aspect_ratio: "16:9" work for landing pages, YouTube intros, and product demos. A 10-second clip returns in under 90 seconds and costs ~$1.

Lip-sync to your own audio

Set audio_url to a public MP3/WAV file (and leave prompt empty). The model uses your real recording to drive timing and intonation — best for music videos, dubbed clips, or pre-edited narration.

Use your own face (Digital Twin)

Two options:

1. •One-shot: Pass a video_url (≥15s, video/mp4). The API trains a Digital Twin, generates the video, and returns the new avatar_id for reuse. Adds a one-time $1.25 training fee.
2. •Pre-train: Run heygen-avatar-v-create first, then pass the returned avatar_id here — overrides the avatar field.

Recommended Settings

Tested and confirmed by the Segmind team:

• •avatar: "Brandon Business Sitting Front" (clean default)
• •voice: "Aaron" (warm, neutral)
• •resolution: "1080p", aspect_ratio: "16:9"
• •fit: "cover" — fills the frame naturally
• •caption: false unless you need an SRT file

Format & background

Use output_format: "webm" with remove_background: true to receive an alpha-channel video for compositing into other scenes. Use background (hex color or image URL) to swap the native scene without compositing.

Cost reference

$0.10 per second of output, regardless of resolution choice up to 4K. Plan ~$6/minute for 1080p.

How long can the video be?

Up to 180 seconds per generation.

What does it cost?

$0.10 per second of output — roughly $0.90 for a 9-second clip.

Can I use my own face?

Yes — train a Digital Twin via heygen-avatar-v-create and pass the returned avatar_id.

Does it support 4K?

Yes — set resolution: "4k".

Can I get a transparent background?

Yes — set remove_background: true and output_format: "webm".

Can I generate captions?

Yes — set caption: true to receive an SRT file alongside the video.