You can enhance your static digital learning scenarios by using one of the many AI lip sync tools. The process for most of these tools follow the following 3 steps:
- Step 1 – Enter your narration
- Step 2 – Provide your visual reference
- Step 3 – Generate your lip sync video
Step 1 – Enter your narration
You have two methods in providing your narration. You can enter the text in directly and choose one of the (usually limited) available voices. The other method is to upload your own voice files (in .mp3 or .wav formats). Your own voice files can be recorded from real-life people or you can use an external text-to-speech AI tool. With the narration done, it time to move onto the visuals.
Step 2 – Provide your visual reference
This is where you provide the character that will act as the voice talent. Depending on the tool used, you can use a static image or a video file as your source. The framing is important, and the best results come from a headshot facing forwards. This leads to more accurate lip syncing.
Step 3 – Generate your lip sync video
The final step once you have your narration and character ready is to generate the video.
Examples of eLearning using lip sync
Here are two examples that have used AI lip sync tools to add emotion and drama to scenarios.
Review
Pros: Lip sync tools can save time and money compared to editing video-based content.
Cons: Currently fidelity and output size can sometimes be a challenge, but it’s improving with time.