What is Native Audio in Kling 3.0?
Native Audio is one of the most transformative features introduced in the Kling platform, allowing the AI to generate fully synchronized audio tracks alongside your video content. Rather than producing silent clips that require separate audio work in post-production, Kling 3.0 can now output videos with rich, contextually appropriate sound that matches the visual content frame by frame. This capability bridges the gap between AI video generation and professional-quality multimedia content.
The Native Audio system supports three distinct categories of audio generation, each serving a different creative purpose. Understanding these categories is essential for getting the most out of the feature and crafting prompts that produce the audio results you need.
Three Types of Native Audio
- Voice Dialogue: Spoken words and conversations generated from text descriptions. The AI can produce natural-sounding speech in multiple languages, with appropriate intonation and emotional delivery that matches the visual context of the scene.
- Sound Effects: Discrete audio events tied to on-screen actions, such as footsteps, door slams, glass breaking, engine sounds, or applause. These are synchronized to the timing of visual actions in the generated video.
- Ambient Sounds: Continuous background audio that establishes atmosphere and environment, including wind, rain, crowd murmur, forest sounds, ocean waves, or city traffic. These provide depth and immersion to the scene.
The audio generation works best when you think of sound as an integral part of your creative prompt rather than an afterthought. Videos that feature clear, identifiable sound sources in the visual content tend to produce the most convincing and well-synchronized audio results. For example, a scene showing a waterfall will naturally generate rushing water sounds, while a scene in a busy cafe will produce ambient conversation and the clink of dishes.
How Native Audio Works
Kling's Native Audio system operates through a sophisticated two-stage pipeline. In the first stage, the video generation model creates the visual content as usual, analyzing your text prompt or reference image to produce the video frames. In the second stage, a specialized audio model examines the completed video content, identifies sound-producing elements within the scene, and generates an audio waveform that aligns temporally with the visual events on screen.
The audio model has been trained on millions of video-audio pairs, giving it a deep understanding of what different scenes, objects, and actions sound like. When it detects a person speaking in the video, it generates speech audio with lip-sync timing. When it sees rain hitting a surface, it produces the corresponding patter sound. This analysis happens automatically, but you can significantly influence the results through your prompt language.
For dialogue generation specifically, Kling uses a text-to-speech subsystem that converts written dialogue in your prompt into spoken audio. You can include direct quotes in your prompt to specify what characters should say, and the system will attempt to deliver those lines with appropriate pacing and emotion. The current system supports multiple languages including English, Chinese, Japanese, Korean, Spanish, and French, with English and Chinese producing the most natural results.
Pro Tip
The audio model analyzes the generated video, not just your text prompt. This means the visual content drives audio generation. If your prompt says "dog barking" but the generated video shows the dog sleeping, the audio may not include barking. Always review your video output first, then consider whether the audio matches the visual content you received.
Step 1: Enabling Audio
To enable Native Audio, navigate to the video generation interface on Kling's platform. Below the main prompt input area, you will find the generation settings panel. Look for the Audio toggle or the Sound section, which may be collapsed by default. Click to expand this section and toggle audio generation to "On."
Once enabled, you will see a dropdown or selector labeled Audio Mode. The current recommended setting is Kling 2.6 Audio, which is the latest stable audio generation model. This mode provides the best balance of audio quality, synchronization accuracy, and language support. Earlier audio modes may still be available but generally produce lower-quality results.
Credit Cost
Enabling audio increases the credit cost of generation. A standard 10-second video with Kling 2.6 Audio mode costs approximately 100 credits, compared to around 60-66 credits for a silent video of the same length. Factor this into your workflow, especially during experimentation phases where you may generate multiple iterations.
After selecting the audio mode, the rest of the generation process works the same as standard video creation. Enter your prompt, configure resolution and duration settings, and click Generate. The audio will be produced automatically as part of the output. You do not need to write a separate audio prompt; the system extracts audio cues from your main video prompt.
Step 2: Configuring Audio Settings
Once you have enabled audio generation, several configuration options become available to fine-tune the output. These settings allow you to control voice characteristics, language preferences, and the balance between different audio elements in your final video.
Voice Selection lets you choose from a library of preset voice profiles when your video includes spoken dialogue. Available voices range from deep male tones to high female voices, with options for different age groups and speaking styles. If your scene features a specific type of character, selecting a matching voice profile dramatically improves the believability of the output. You can preview voice samples before generating to ensure you have selected the right match for your scene.
Language Options allow you to specify the primary language for any dialogue in the video. While the system can often auto-detect language from your prompt text, explicitly setting the language ensures proper pronunciation, intonation patterns, and accent characteristics. Currently supported languages include English (American and British accents), Mandarin Chinese, Japanese, Korean, Spanish, and French. Setting the correct language is particularly important when your prompt contains dialogue in quotes.
Ambient Sound Preferences provide a slider or toggle to control how prominent background audio should be relative to foreground sounds and dialogue. In scenes with both dialogue and environmental sounds, you may want to reduce ambient levels to ensure speech clarity. For atmospheric scenes without dialogue, boosting ambient sounds creates a more immersive experience. The default balanced setting works well for most use cases, but adjusting this can help when specific audio elements are drowning out others.
Step 3: Writing Audio-Aware Prompts
The most important factor in getting great audio output from Kling 3.0 is writing prompts that explicitly describe sound-producing elements. While the audio model can infer sounds from visual content, you get far more consistent and higher-quality results when you include specific audio descriptions in your prompt text. Think of your prompt as a screenplay that describes both what the audience sees and what they hear.
When writing audio-aware prompts, place sound descriptions naturally within your scene description. Mention what characters are saying using direct quotes, describe environmental sounds using specific adjectives, and reference the acoustic quality of the space. Words like "echoing," "muffled," "distant," "crisp," and "rumbling" help the audio model understand the spatial characteristics and intensity you want.
Here are three example prompts that demonstrate effective audio-aware writing:
A woman speaking to camera saying 'Welcome to our new product launch', professional studio, warm lighting
This prompt works well because it clearly identifies a speaking character, provides the exact dialogue in quotes, and establishes an environment (professional studio) that tells the audio model to produce clean, echo-free speech with minimal background noise.
Rain falling on a tin roof, thunder in the distance, cozy cabin interior, fireplace crackling
This prompt layers multiple sound sources at different distances and intensities. The "tin roof" detail gives the rain a specific tonal quality, "thunder in the distance" establishes spatial depth, and "fireplace crackling" adds a close-proximity warm sound. The audio model uses these spatial cues to create a convincing three-dimensional soundscape.
Busy Tokyo street crossing, car horns, crowd chatter, footsteps, urban atmosphere
This prompt specifies multiple distinct sound elements within a coherent environment. By naming "Tokyo" specifically, you guide the model toward the characteristic sounds of Japanese urban life, including the distinctive crosswalk signals. Each listed sound element (horns, chatter, footsteps) gives the model specific targets to generate and layer into the ambient mix.
Audio Quality Tips
Getting the best audio quality from Kling 3.0 requires understanding the model's strengths and working within its current capabilities. The following guidelines will help you consistently produce professional-sounding audio that enhances rather than detracts from your video content.
Keep scenes focused on a primary sound source. The audio model produces its best results when there is one dominant sound element in the scene. A single person speaking in a quiet room will generate much cleaner audio than a crowded room with multiple people talking simultaneously. When you need complex soundscapes, build them around one primary element with secondary sounds playing a supporting role.
Match audio complexity to video duration. For shorter 5-second clips, stick to one or two sound elements. For 10-second videos, you can introduce three to four audio layers without losing clarity. Avoid requesting a symphony of sounds in a short clip, as the model may produce muddy, indistinct audio when overwhelmed with competing sound descriptions.
Quality Checklist
- Use specific, descriptive audio language in your prompts
- Limit concurrent sound sources to 3-4 maximum
- Include spatial cues like "distant," "close," "overhead"
- Specify material interactions (e.g., "wooden floor" vs. "marble floor" for footsteps)
- Generate at 10-second duration for best audio quality
- Review video visuals first to ensure they support the desired audio
Avoid rapid scene transitions when audio is enabled. If your prompt describes a scene that changes dramatically mid-video (for example, transitioning from indoors to outdoors), the audio model may struggle to smoothly transition between the two distinct soundscapes. For scenes with environmental changes, consider generating separate clips and editing them together with proper audio crossfades in post-production.
Limitations
While Native Audio is a powerful feature, it is still an evolving technology with several limitations that you should be aware of before incorporating it into your workflow. Understanding these constraints will save you time and credits by setting appropriate expectations for what the system can and cannot deliver.
Credit costs are significantly higher. As mentioned earlier, enabling audio roughly doubles the credit cost per generation. For users on limited credit budgets, this means fewer total generations when audio is enabled. A practical approach is to first generate your video without audio to perfect the visual content, then re-generate with audio enabled once you are satisfied with the visual output. This prevents wasting expensive audio-enabled credits on iterations that are primarily about getting the visuals right.
Audio length is locked to video duration. You cannot generate audio that is longer or shorter than the video itself. If you generate a 5-second video, you get exactly 5 seconds of audio. This means you cannot create extended ambient tracks or dialogue that continues beyond the video's timeframe. For projects that require longer audio, you will need to generate multiple clips and stitch the audio together in an external editor.
Language and Accent Considerations
While Kling supports multiple languages, audio quality varies significantly between them. English and Mandarin Chinese produce the most natural and consistent results. Japanese and Korean are solid but occasionally exhibit unnatural prosody. Spanish and French support is functional but may have pronunciation issues with complex words or regional expressions. If you need high-quality dialogue in a less-supported language, consider generating the video with audio disabled and adding a professional voiceover in post-production.
Lip-sync accuracy is approximate. The system does a reasonable job of synchronizing generated speech with visible mouth movements in the video, but it is not perfect. Fast dialogue, multiple speakers, or characters viewed from oblique angles may result in noticeable lip-sync mismatches. For critical dialogue scenes, such as close-up conversation shots, plan for the possibility that you may need multiple generations to achieve acceptable synchronization.
Music generation is not supported. Native Audio does not generate musical compositions, singing, or instrumental performances. If your scene requires background music, you will need to add it separately in post-production. The system may produce brief, ambient musical tones in certain contexts (such as a scene set in a jazz club), but these are incidental rather than composed and should not be relied upon for musical content.