Ai Age Filter
Playground
Try it on WavespeedAI!AI Age Filter transforms a portrait to show how you would look at different ages. Upload a face photo and select a target age. Ready-to-use REST inference API, no coldstarts, affordable pricing.
Features
AI Age Filter
Curious what you’d look like as a baby, a teenager, or decades from now? AI Age Filter transforms any portrait into a realistic version of that face at any life stage — from baby to very old. The results are surprisingly convincing and endlessly fun to share.
Upload a photo, pick an age, and see time do its thing.
Why You’ll Love It
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Seven age stages to explore From baby all the way to very old — travel the full timeline of a face in a single click.
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Strikingly realistic transformations Advanced facial modeling preserves your unique features and identity while applying age-appropriate changes to skin, structure, and expression.
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Instant results No waiting, no complicated settings — just upload, select, and see.
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Perfect for sharing Show friends and family what you looked like (or will look like). Reactions guaranteed.
How to Use
- Upload your portrait — a clear, front-facing photo gives the best results.
- Choose an age — select from baby, child, teen, young_adult, middle_aged, old, or very_old.
- Hit Run — your age-transformed portrait is ready in seconds.
- Download and share.
Pricing
Just $0.05 per image.
Best Use Cases
- Personal fun — See yourself at every stage of life without waiting for time to catch up.
- Social media content — Age filter posts consistently go viral — now you can make your own.
- Family & gifts — Transform a photo of a child to show what they might look like grown up, or age back a grandparent’s photo.
- Creative storytelling — Visualize characters at different life stages for writing, film, or game projects.
Pro Tips
- Front-facing photos with clear lighting produce the most accurate and realistic transformations.
- Avoid heavy filters, sunglasses, or extreme head angles for best results.
- Try the same photo across multiple age settings for a fun before-and-after series.
- Baby and very_old tend to produce the most dramatic — and shareable — results.
Notes
- Both image and age are required fields.
- Ensure image URLs are publicly accessible if using a link rather than a direct upload.
- Please ensure your content complies with WaveSpeed AI’s usage policies.
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/ai-age-filter" \
--header "Content-Type: application/json" \
--header "Authorization: Bearer ${WAVESPEED_API_KEY}" \
--data-raw '{
"age": "old"
}'
# Get the result
curl --location --request GET "https://api.wavespeed.ai/api/v3/predictions/${requestId}/result" \
--header "Authorization: Bearer ${WAVESPEED_API_KEY}"
Parameters
Task Submission Parameters
Request Parameters
| Parameter | Type | Required | Default | Range | Description |
|---|---|---|---|---|---|
| image | string | Yes | - | The URL of the input image. | |
| age | string | Yes | old | baby, child, teen, young_adult, middle_aged, old, very_old | Target age: baby (2), child (8), teen (15), young adult (22), middle aged (45), old (75), very old (90). |
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 |