How to Make a Talking Digital Human or Presenter Video? NadouPro Character Video Workflow

Getting a virtual character to face the camera and start speaking used to require a motion-capture studio, professional voice actors, and post-production compositing. Today’s AI tools have lowered the barrier to a single prompt: provide a character image and a piece of dialogue, and you can generate a video of the character appearing on camera and speaking. This article breaks down the key selection criteria for this kind of "character narration video" and the complete production workflow in NadouPro.

First, clarify what you need: a narration video or a real-time conversational agent

Two types of products are often mixed together in the market. One is a character narration video: a digital character appears on camera, delivers a piece of dialogue, and produces a finished video that can be published and shared. The other is a real-time conversational agent: it can understand what users say and respond immediately, and is essentially a customer-service or companion product.

For content distribution, you need the former. To judge whether a tool is suitable for producing narration videos, four dimensions are enough.

First, controllability of the character image. Whether you can customize a character from a single image, and whether the character can remain consistent across multiple images, determines whether you can reuse the character as a long-term asset.

Second, expressiveness of the voice and dialogue. Whether the tool supports uploading real human recordings or generating voiceovers with Text to Speech, and whether the voice sounds natural and conveys emotion well, directly determines how watchable the video is.

Third, performance details. Whether the character’s expressions, eye contact, and gestures look natural while speaking, and whether movement and voice are synchronized, is the dividing line between "usable" and "watchable."

Fourth, the finished-video workflow. From character image to final video, how many steps are required, whether everything can be completed in one environment, and whether multiple episodes of content can be produced in batches.

The complete production workflow in NadouPro

NadouPro is an end-to-end filmmaking platform, and character narration videos can be completed on a single canvas. The overall process has four steps: create the character image, define the voice, generate the performance, and assemble the final video.

Step 1: Create the character image

Create a new Image node on the canvas and use Text to Image to generate the character image. In this step, the prompt should fully describe three things: facial features, clothing and styling, and scene atmosphere.

A Chinese female news anchor around 30 years old, with short, polished hair, wearing a beige knit top, in a warm-toned study background, soft natural light, half-body composition, clear face looking toward the camera

A few details directly affect the quality of the finished video:

• Leave room in the composition for performance. Use a half-body or three-quarter-body composition to leave space for the character’s gestures and body movement; an extreme close-up will limit the range of performance.

• Keep the facial direction clear. The character’s face should look straight at the camera or slightly to the side, with facial features unobstructed, so the generated performance will look natural later.

• Match the image to the content. A character explaining knowledge and a character reviewing beauty products should have different styling and temperament. Thinking this through at this stage can save a lot of rework later.

When you need the character to stay consistent across multiple videos, use Multi-Grid capabilities to generate a character face three-view, character full-body three-view, or character profile sheet. This fixes the character’s front view, side view, and full-body design in one pass, so every later video can start from this set of reference images.

Step 2: Define the voice

Create a new Audio node on the canvas and choose Voice Dubbing mode. Voice Dubbing and Voice Conversion are combined, with natural emotional expression.

There are two routes:

Text to Speech: enter the dialogue text directly and choose a voice from the voice library that matches the character’s temperament. The voice library is under the assets menu. It is recommended to audition several voices before choosing one, and then use the same voice in all later episodes to maintain the character’s voice identity.

Upload a real human recording: if you want to use your own voice or a recording by a professional voice actor, just upload the audio file, and the video will generate the performance based on that real voice.

The dialogue itself also matters. Read the dialogue aloud yourself first, and revise anything that feels awkward to say. Use commas and periods to leave room for breathing and pauses. Describe the speaking speed and emotion clearly, such as "a light, cheerful tone, like sharing with a friend."

Step 3: Generate the performance

Return to the canvas, create a new Video node, use the character image from Step 1 as the reference image, choose an audio-video synchronized video model, and describe the character’s performance in the prompt.

For the performance description, start simple: a warm smile, occasionally looking toward the camera, and slight gestures. Piling on every detail can instead make the performance feel messy. For a typical scenario, a usable performance description would be:

The character speaks to the camera, with a friendly and natural expression, occasionally smiling and nodding, using slight gestures to support the explanation, stable camera, half-body shot

Video node also supports modes such as First/Last Frame, Multi-reference, and Motion Control. If you have a real-person demonstration video of someone speaking, you can use Motion Control mode to have the character perform according to the movement rhythm of the demonstration video. When the same character needs to appear in a different scene or outfit, use Multi-reference mode to feed both the character image and the new scene image into the model.

After generation, watch the full version with sound and focus on three things: whether the pronunciation is clear, whether the pauses are natural, and whether the expressions and gestures match the rhythm of the dialogue. If you are not satisfied, adjust the performance description or switch to another reference image and generate again.

Step 4: Assemble the final video

For multi-episode content or videos that need an opening and ending, import the materials into Clip, complete material splicing and video editing, preview online to confirm, and then export.

Turn the character into a long-term asset

Making a single narration video is not difficult; the hard part is turning it into a regularly updated series. Here are three suggestions:

Fix the character settings. Organize the character design images, selected voice, and commonly used performance descriptions into a character profile. Start each episode from that profile, so the audience can recognize the character.

Reuse the creation workflow. The workflow for each character narration video is exactly the same. It is suitable to save the node structure on the canvas, then only replace the dialogue and performance description for each episode. Production speed will keep improving.

Reuse the same character across multiple scenarios. After the character image is fixed, you can change the background, outfit, and shot size to produce series content on different topics. One character can support an entire content matrix.

Frequently Asked Questions

Q: If I only have one character photo, can I make a video of the character speaking on camera?
Yes. Put the photo into Video node as the character reference image, combine it with the audio produced through Voice Dubbing, and use an audio-video synchronized model to generate the performance. The photo should have a clear, unobstructed face and a composition that leaves room for performance.

Q: Can I use my own voice?
Yes. Voice Dubbing supports uploading real human recordings, and the video generates the performance based on the recording you provide. It will not clone someone else’s voice without permission. Please make sure you have authorization before using another person’s voice.

Q: Can the character image be created originally from scratch?
Yes. Use Image node and Text to Image to create an original character, then use Multi-Grid capabilities to generate three-view images and a profile sheet to fix the settings and avoid character appearance drift in later episodes.

Q: Can the same character be used in multiple videos?
Yes, and this is exactly the recommended approach. Keep the character design images and voice selection, reuse them in every episode, and the character becomes a sustainable content asset.

Q: What should I do if the performance always looks stiff?
First simplify the performance description and keep only one or two action requirements at a time. Then check whether the reference image composition is too tight. If it is still not ideal, try again with a model that has more stable camera movement, or use Motion Control mode to provide the model with a real-person demonstration.

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Contains AI-generated information that may be incorrect. Please verify independently.