AISVIT / AI Video / Audio to Video

Kling Avatar V2 — Audio to Video

Audio to Video with Kling Avatar V2 in AISVIT. Create talking-head and audio-driven AI videos from voice or sound. Generate motion synced visuals for explainers, presenters, and social content.

About this model

Specialized talking-avatar model that turns one portrait image and a voice recording into a lip-synced speaking video, with Standard and Pro quality tiers billed per second.

When is this model useful?

Kling Avatar V2 works best when you need one clear speaking character on screen and want the voice track to drive the performance.

Best fit tasks

  • AI presenter videos for explainers, onboarding, FAQ answers, product updates, training clips, and internal communications.
  • Localized or multilingual avatar videos where you keep the same portrait but swap the audio for another language or message.
  • Podcast visuals, voice-note videos, announcement clips, and social content where a static image should become a speaking face.
  • Animated brand mascots, illustrated characters, stylized avatars, or even animals when the goal is a talking portrait rather than a full scene.

Main advantages

  • It is built for facial animation, so lip-sync, expressions, and subtle head motion are usually more convincing than in general-purpose video models.
  • You provide the audio file yourself, which gives you direct control over the exact words, pacing, pauses, and emotional tone.
  • The optional prompt lets you steer attitude, speaking style, and small camera or expression cues without rewriting the spoken content.
  • It offers Standard and Pro modes, so you can iterate more cheaply first and switch to a cleaner final render when needed. The model description says output can reach up to 1080p and 48 FPS.

Limitations to know

  • This is not the right model for action scenes, full-body movement, several characters talking at once, or broad cinematic world-building. It is mainly a speaking-avatar workflow.
  • Result quality depends heavily on the source portrait. Clear, front-facing images with visible facial features usually work best.
  • The spoken timing comes from the uploaded audio, so there is no separate creative duration control in the normal workflow. If the recording is awkward, the animation usually feels awkward too.
  • Input files have practical limits in this integration: the portrait image must be JPG, JPEG, or PNG up to 10 MB, and the audio file must be MP3, WAV, M4A, or AAC up to 5 MB.

How to use this model

The simplest approach is to start with a clean portrait, a well-recorded voice file, and only a short optional prompt for emotion or delivery style.

Simple workflow

  1. Upload one portrait image where the face is easy to read. Front-facing framing, good lighting, and minimal face obstruction usually give the most stable result.
  2. Upload the voice audio that should drive the avatar. In plain language, the recording controls when the mouth moves, how long the clip lasts, and much of the expression timing.
  3. Add an optional prompt if you want to influence mood or behavior, for example "confident spokesperson", "friendly teacher", or "beauty blogger talking to camera".
  4. Choose Standard when you want a cheaper draft and faster iteration, or Pro when you need cleaner facial detail and smoother output for a more presentation-ready result.
  5. Keep the script and delivery natural. Clean speech with limited background noise usually improves lip-sync more than adding a longer prompt.

Supported inputs

  • Required: one portrait image in JPG, JPEG, or PNG format, up to 10 MB.
  • Required: one audio file in MP3, WAV, M4A, or AAC format, up to 5 MB.
  • The source image should be at least 300 pixels on each side, with an aspect ratio between 1:2.5 and 2.5:1.
  • Optional: one text prompt to guide action, emotion, or camera feeling.
  • Available quality modes in this route: Standard (std) and Pro.

What you get

  • A generated MP4 video file.
  • A speaking-avatar clip with lip-synced mouth movement, facial animation, and natural expression timing driven by the uploaded audio.
  • Video length that usually follows the source audio instead of a separate manual duration setting.
  • Standard or Pro quality output depending on the selected mode.
  • According to the current model description, output can reach up to 1080p resolution and 48 FPS.

More Audio to Video models

AISVIT pricing details

  • Standard (std): 5.6 credits per second
  • Pro: 11 credits per second