Think Sound
Playground
Try it on WavespeedAI!ThinkSound turns uploaded videos into realistic, text-guided audio. Upload a video and add a text prompt to generate lifelike sound. Ready-to-use REST inference API, best performance, no coldstarts, affordable pricing.
Features
ThinkSound
ThinkSound is a cutting-edge video-to-audio generation model that creates realistic sound effects and audio tracks from video content. By analyzing the visual elements and actions in your video, it generates high-quality audio that perfectly matches what’s happening on screen.
Why It Stands Out
- Video-to-audio generation: Converts video content into corresponding audio tracks automatically.
- Context-aware sound: Analyzes visual elements and actions to generate matching audio.
- Prompt-guided output: Add text descriptions to guide the style and type of audio generated.
- Prompt Enhancer: Built-in AI-powered prompt optimization for better audio results.
- High-quality output: Produces clear, realistic audio that enhances the multimedia experience.
- Reproducibility: Use the seed parameter to recreate exact results or explore variations.
Parameters
| Parameter | Required | Description |
|---|---|---|
| video | Yes | Source video (upload or public URL). |
| prompt | No | Text description to guide audio generation style. |
| seed | No | Set for reproducibility; -1 for random. |
How to Use
- Upload your video — drag and drop a file or paste a public URL.
- Add a prompt (optional) — describe the type of sound you want. Use the Prompt Enhancer for AI-assisted optimization.
- Set a seed (optional) for reproducible results.
- Click Run and wait for audio generation.
- Preview and download the result.
Best Use Cases
- Video Post-Production — Add sound effects to silent footage or animations.
- Content Creation — Generate audio tracks for social media videos and clips.
- Game Development — Create sound effects for gameplay footage and trailers.
- Film & Animation — Produce foley and ambient sounds for scenes.
- Advertising — Add impactful audio to promotional videos.
Pricing
| Output | Price |
|---|---|
| Per video | $0.05 |
Pro Tips for Best Quality
- Use videos with clear visuals and distinct actions for best audio matching.
- Add prompts to specify the type of sound you want (e.g., “engine roaring”, “footsteps on gravel”).
- Ensure the video has visible sound-producing elements like movement, impacts, or environmental features.
- For complex scenes, describe the primary sound you want the model to focus on.
- Fix the seed when iterating to compare different prompt variations.
Notes
- Ensure uploaded video URLs are publicly accessible.
- Processing time varies based on video length and current queue load.
- Please ensure your content complies with usage guidelines.
Authentication
For authentication details, please refer to the Authentication Guide.
API Endpoints
Submit Task & Query Result
# Submit the task
curl --location --request POST "https://api.wavespeed.ai/api/v3/wavespeed-ai/think-sound" \
--header "Content-Type: application/json" \
--header "Authorization: Bearer ${WAVESPEED_API_KEY}" \
--data-raw '{
"seed": -1
}'
# Get the result
curl --location --request GET "https://api.wavespeed.ai/api/v3/predictions/${requestId}/result" \
--header "Authorization: Bearer ${WAVESPEED_API_KEY}"
Parameters
Task Submission Parameters
Request Parameters
| Parameter | Type | Required | Default | Range | Description |
|---|---|---|---|---|---|
| video | string | Yes | - | The video for generating the output. | |
| prompt | string | No | - | The positive prompt for the generation. | |
| seed | integer | No | -1 | -1 ~ 2147483647 | The random seed to use for the generation. -1 means a random seed will be used. |
Response Parameters
| Parameter | Type | Description |
|---|---|---|
| code | integer | HTTP status code (e.g., 200 for success) |
| message | string | Status message (e.g., “success”) |
| data.id | string | Unique identifier for the prediction, Task Id |
| data.model | string | Model ID used for the prediction |
| data.outputs | array | Array of URLs to the generated content (empty when status is not completed) |
| data.urls | object | Object containing related API endpoints |
| data.urls.get | string | URL to retrieve the prediction result |
| data.has_nsfw_contents | array | Array of boolean values indicating NSFW detection for each output |
| data.status | string | Status of the task: created, processing, completed, or failed |
| data.created_at | string | ISO timestamp of when the request was created (e.g., “2023-04-01T12:34:56.789Z”) |
| data.error | string | Error message (empty if no error occurred) |
| data.timings | object | Object containing timing details |
| data.timings.inference | integer | Inference time in milliseconds |
Result Request Parameters
| Parameter | Type | Required | Default | Description |
|---|---|---|---|---|
| id | string | Yes | - | Task ID |
Result Response Parameters
| Parameter | Type | Description |
|---|---|---|
| code | integer | HTTP status code (e.g., 200 for success) |
| message | string | Status message (e.g., “success”) |
| data | object | The prediction data object containing all details |
| data.id | string | Unique identifier for the prediction, the ID of the prediction to get |
| data.model | string | Model ID used for the prediction |
| data.outputs | string | Array of URLs to the generated content (empty when status is not completed). |
| data.urls | object | Object containing related API endpoints |
| data.urls.get | string | URL to retrieve the prediction result |
| data.status | string | Status of the task: created, processing, completed, or failed |
| data.created_at | string | ISO timestamp of when the request was created (e.g., “2023-04-01T12:34:56.789Z”) |
| data.error | string | Error message (empty if no error occurred) |
| data.timings | object | Object containing timing details |
| data.timings.inference | integer | Inference time in milliseconds |