What is an AI avatar video?

An AI avatar video is a video in which a static portrait image is animated with audio — producing a video of that person speaking, presenting, or performing in sync with the audio. You provide a photo and a voice track; the AI generates a video where the person in the photo delivers the audio with natural lip movements, facial expressions, and body gestures. The result looks like a person recorded presenting to camera.

Do I need a photo of myself to create an AI avatar?

No. You can use an AI-generated portrait as the source image. Generate a professional-looking persona with Flux 2 using a headshot prompt, then animate that generated face with your narration. This is how most brands using AI spokespersons work — the face is a generated persona, not a real person.

How long can an AI avatar video be?

Depends on the model. OmniHuman (ByteDance) supports up to 30 seconds per clip. Kling AI Avatar API supports up to 1 minute for narration and up to 5 minutes for singing. For longer content, generate multiple clips from the same portrait and the same narration sections, then edit them together in CapCut.

What audio format does the avatar tool accept?

Standard audio files — MP3 or WAV. The audio must be clean voice audio for best lip sync accuracy. Do not mix background music into the audio input; add music in post-production after generating the avatar video. WAV produces slightly better synchronization than compressed MP3 at the same content.

Which is better — OmniHuman or Kling Avatar API?

OmniHuman is stronger for full-body animation, singing performance, and stylized or illustrated characters. Kling Avatar API is better for longer narration (up to 1 minute), higher frame rate (48fps for smoother lip motion), and multilingual content (English, Japanese, Korean, Chinese). For short clips and music — OmniHuman. For professional presenter content and long-form narration — Kling Avatar.

How to Create an AI Avatar Video in 2026: Talking Head Guide on Cliprise

An AI avatar video is a video where a portrait image is animated with an audio file — producing a video of that person delivering your narration with natural lip sync and body language. You provide the face and the voice; the AI handles the animation.

This guide covers the complete workflow from nothing to a finished talking head video, in three steps.

AI avatar presenter concept for talking-head videos

Step 1: Get Your Source Portrait

You have two options.

Option A — Use an AI-generated portrait. Generate a professional headshot with Flux 2 on Cliprise. Use a prompt like:

Professional headshot of a [woman/man] in [demographic description],
confident direct gaze, slight natural expression,
wearing [professional attire],
clean background, soft studio lighting,
sharp focus on face, high detail

Generate 3–4 variants, pick the one that looks most professional and has clear, well-lit facial features.

Option B — Use a real photograph. Upload a clean portrait photo. Requirements: face clearly visible, front-facing or slight angle, good lighting, nothing covering the face.

What makes a good source image for avatar generation:

Face fills a significant portion of the frame
Clear, consistent lighting — no harsh shadows on facial features
Neutral or natural expression (the animation starts from your expression)
No heavy accessories that obscure facial features

Step 2: Prepare Your Audio

The audio drives the lip sync, gestures, and emotional expression. Clean audio produces accurate results. Noisy audio produces degraded sync.

Option A — Generate with ElevenLabs TTS. Write your script and generate narration using ElevenLabs TTS on Cliprise. Select a voice style that fits your content. The output is clean, unprocessed audio — ideal for avatar input. See AI Voice Generator Guide →

Option B — Record your own voice. Record in a quiet room. Smartphone recordings in quiet spaces work well. Do not add music, effects, or processing — the model needs the raw voice signal. Export as WAV for best quality.

Critically: do not add background music before generation. Mix music in CapCut after you have the avatar video. Music mixed into the audio input confuses the lip sync model.

Step 3: Generate the Avatar Video

For clips under 30 seconds: OmniHuman

Go to Video Gen on Cliprise
Select ByteDance OmniHuman
Upload your portrait image
Upload your audio file
Generate

Output: a video of your portrait person delivering the audio with natural lip movements, facial expressions, and gestures. Duration: up to 30 seconds.

OmniHuman handles full-body images as well as portraits — if you use a full-body image, the character's body language and gestures animate to match the audio.

For clips up to 1 minute, multilingual, or 48fps: Kling Avatar API

Go to Video Gen on Cliprise
Select Kling AI Avatar API
Upload portrait image
Upload audio file
Optionally add a text prompt describing the presentation style: "professional and confident, warm eye contact, measured delivery"
Generate

Output: presenter video at 1080p, 48fps, up to 1 minute. Supports English, Japanese, Korean, and Chinese lip sync.

Step 4: Post-Production in CapCut

The avatar video clip is the core element. In CapCut, add:

Background. Place the talking head on a branded background — an office environment, a plain colored backdrop, or a relevant visual environment. Lower the avatar clip onto a background layer.

Background music. Add subtle instrumental music at 15–20% volume under the narration. This is where your music goes — not in the avatar input.

Lower thirds. Add your name, title, or company name as a text overlay at the bottom of the frame.

Cut-aways. For longer content, cut away from the talking head periodically to show product footage, slides, or relevant B-roll. This is how professional educational and marketing video is structured.

Captions. Add auto-captions in CapCut, or generate an SRT file from your audio using ElevenLabs Speech-to-Text on Cliprise.

Note

OmniHuman and Kling Avatar API are both on Cliprise alongside ElevenLabs TTS and Flux 2 — the complete avatar video workflow from one subscription. Try Cliprise Free →

Models on Cliprise: