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.
Idle

$0.05per run·~20 / $1

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.
Seven age stages to explore From baby all the way to very old — travel the full timeline of a face in a single click.
Strikingly realistic transformations Advanced facial modeling preserves your unique features and identity while applying age-appropriate changes to skin, structure, and expression.
Instant results No waiting, no complicated settings — just upload, select, and see.
Perfect for sharing Show friends and family what you looked like (or will look like). Reactions guaranteed.
Just $0.05 per image.
Grab a WaveSpeedAI API key, then call POST https://api.wavespeed.ai/api/v3/wavespeed-ai/ai-age-filter with your input as JSON. The endpoint returns a prediction id; poll the prediction endpoint until status flips to completed, then read the output URL from data.outputs[0]. Examples for Ai Age Filter below.
# Submit the prediction
curl -X POST "https://api.wavespeed.ai/api/v3/wavespeed-ai/ai-age-filter" \
-H "Content-Type: application/json" \
-H "Authorization: Bearer $WAVESPEED_API_KEY" \
-d '{
"image": "https://example.com/your-input.jpg",
"age": "old"
}'
# Response includes a prediction id. Poll for the result:
curl -X GET "https://api.wavespeed.ai/api/v3/predictions/{request_id}/result" \
-H "Authorization: Bearer $WAVESPEED_API_KEY"
# When status is "completed", read the output from data.outputs[0].// npm install wavespeed
const WaveSpeed = require('wavespeed');
const client = new WaveSpeed(); // reads WAVESPEED_API_KEY from env
const result = await client.run("wavespeed-ai/ai-age-filter", {
"image": "https://example.com/your-input.jpg",
"age": "old"
});
console.log(result.outputs[0]); // → URL of the generated output# pip install wavespeed
import wavespeed
output = wavespeed.run(
"wavespeed-ai/ai-age-filter",
{
"image": "https://example.com/your-input.jpg",
"age": "old"
}
)
print(output["outputs"][0]) # → URL of the generated outputAi Age Filter is a WaveSpeedAI model for image editing, exposed as a REST API 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. You can call it programmatically or try it from the playground above.
POST your input parameters to the model's REST endpoint (shown in the API tab of this playground) with your WaveSpeedAI API key in the Authorization header. Submission returns a prediction ID; poll the prediction endpoint until status flips to "completed", then read the output URL from the result. The playground generates a ready-to-paste code sample in Python, JavaScript, or cURL for whatever inputs you've set. Full request/response shape is documented at https://wavespeed.ai/docs/docs-api/wavespeed-ai/ai-age-filter.
Ai Age Filter starts at $0.050 per run. That figure is the base price — the final charge scales with the parameters you set in the form (output size, length, count, references, or whatever knobs this model exposes), so a higher-quality or larger output costs more than a minimal one. The exact cost for your current input is shown live next to the Generate button before you submit, and the actual per-call charge is recorded on the prediction afterwards.
Key inputs: `image`, `age`. The full JSON schema (types, defaults, allowed values) is rendered above the Generate button and mirrored in the API reference at https://wavespeed.ai/docs/docs-api/wavespeed-ai/ai-age-filter.
Sign up for a free WaveSpeedAI account to claim starter credits, copy your API key from /accesskey, then call the endpoint shown in the API tab of the playground. The playground also auto-generates a code sample in Python, JavaScript, or cURL for the parameters you've set.
Commercial usage rights depend on the model's license, set by its provider (WaveSpeedAI). The license summary appears on the model card above; see WaveSpeedAI's Terms of Service for platform-level conditions.