PixelOkay
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PIXELOKAY · CREATOR STUDIO

AI Video Character Presenter

Make videos speak with personality. Animate characters over scenes or source footage with your own recorded voice, imported audio, or optional local AI speech. No AI is required to preview or export.

✦ Private on-device editing✦ Works without AI✦ Actual video export
✦Every voice has a face.Place a presenter anywhere on your video, then customize their entrance and animation.

Video canvas

Preview the actual composition before recording.

Ready to edit
00:00 / 00:00

Corner suggestion checks visual edge activity in the current video frame, not true person/object recognition. Drag the character on the canvas for precise placement.

Presenter scenes

Requires blank scene

Create source-free explainer scenes with editable backgrounds and titles. Scenes use the same animation and audio timeline as export.

Start a blank project to edit scenes.

Character timeline

Choose when each presenter appears. Multiple clips can overlap for conversations.

0:00End

Select a clip, then edit its start/end and appearance in the inspector. Up to 12 presenter clips.

4. Export the finished video

Real-time render

Export a section

Trim the recorded output without modifying your original source or character timeline.

Uses the browser’s real recording codec. Exports run in real time and may have variable frame timing under load; keep this tab active. Some browsers cannot encode MP4.

Project JSON stores clip settings—not your video/audio files. Reattach those media files after reopening.

Build expressive presenter videos, without a studio

01

Bring a video

Import a browser-supported video; it never leaves your computer.

02

Cast your presenter

Choose a built-in style or place a transparent custom character over your footage.

03

Give them a voice

Use a recorded voice or generate a narration with the free local model.

04

Export the composite

Record the resulting animation and mixed audio as an MP4 or WebM supported by your browser.

About animation and AI

Lip movement follows narration volume; it is not phoneme-accurate facial reenactment. Blinks, gestures and expressions are illustrated animations. Scene placement uses a simple visual-activity heuristic. The optional Kokoro model generates speech in the browser after you request it; no trained video animation or character-recognition model is claimed.

Compose a character presenter clip with reviewed narration

Write or import a script, add an editable character or mascot, and arrange scenes over a blank canvas or supported source footage. Use imported/recorded audio or request optional Kokoro narration, then review mouth motion, captions and audio mix before exporting a selected video range.

Example workflow

  1. Draft a short introduction and create a scene with a character and background.
  2. Add narration, check the loudness-driven mouth movement and caption styling, then adjust the source/voice mix.
  3. Preview the selected range and record it using a browser-supported codec; keep source media and custom images with the saved project.

Authored example: Create a short presenter intro with one sentence and a custom mascot. Listen while viewing the mouth animation and adjust scene timing if the visual emphasis does not match the words.

Limits and model handling: Mouth motion follows audio loudness, not phonemes. There is no automatic diarization or object detection. Optional Kokoro narration downloads third-party code and model weights when requested; model availability and generated pronunciation vary. Project JSON omits source video, voice audio and custom images. Video is recorded in real time, so codecs, audio sync and resource limits depend on the browser.

AI Video Character Presenter questions

Does the character mouth animation match each spoken sound?

No. Mouth movement follows loudness rather than phoneme-level alignment. Review timing against the narration.

Does the project file include the narration and custom images?

No. Project JSON omits source video, voice audio and custom images. Keep those files and reattach them when reopening the project.

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