AI Celebrity Look Alike Finder

AI Celebrity Look Alike Finder

Playground

Try it on WaveSpeedAI!

AI Celebrity Look-Alike Finder analyzes a portrait and finds the closest celebrity match. Upload a face photo and discover which celebrity you resemble. Ready-to-use REST inference API, no coldstarts, affordable pricing.

Features

AI Celebrity Look-Alike Finder reveals your celebrity twin. Upload a selfie and discover which famous face you share features with — is it a Hollywood star? A music icon? A sports legend? There’s only one way to find out.


Why Choose This?

  • Instant celebrity match Advanced facial recognition analyzes your features and finds your closest celebrity doppelganger.

  • Thousands of celebrities Actors, musicians, athletes, influencers, historical figures — our database spans the A-list and beyond.

  • Accurate facial analysis AI examines facial structure, proportions, and features for surprisingly accurate matches.

  • Shareable results Get results designed for social media — show your friends your celebrity twin.

  • Quick and fun Upload, click, discover. Takes seconds, entertains for hours.


Parameters

ParameterRequiredDescription
imageYesYour portrait photo (URL or upload)

How to Use

  1. Upload your photo — a clear selfie or portrait works best.
  2. Run — AI scans millions of celebrity faces to find your match.
  3. Discover your twin — see which celebrity you resemble most.
  4. Share — brag to your friends (or keep it secret if it’s awkward).

Pricing

OutputCost
Per match$0.05

Best Use Cases

  • Social media fun — Share your celebrity match and watch the reactions.
  • Party icebreaker — Who’s everyone’s celebrity twin? Find out together.
  • Curiosity fix — You’ve always wondered. Now you’ll know.
  • Profile inspiration — Style yourself after your celebrity match.
  • Gift idea — Surprise friends with their celebrity look-alike results.

Pro Tips

  • Front-facing, well-lit photos give the most accurate matches.
  • Neutral expressions work better than big smiles or funny faces.
  • Remove sunglasses and hats — the AI needs to see your full face.
  • Higher resolution photos = better results.
  • Try different photos — you might match different celebrities depending on the angle!

Notes

  • Image is the only required field.
  • Ensure uploaded image URLs are publicly accessible.
  • For entertainment purposes — celebrity matches are based on facial similarity only.
  • Please use responsibly and respect others’ likeness.

Authentication

For authentication details, please refer to the Authentication Guide.

API Endpoints

Submit Task & Query Result

set -euo pipefail

export WAVESPEED_API_KEY="your-api-key"

REQUEST_BODY=$(cat <<'JSON'
{
  "image": "https://interactive-examples.mdn.mozilla.net/media/cc0-images/painted-hand-298-332.jpg"
}
JSON
)

# 1. Submit the prediction.
SUBMIT_RESPONSE=$(curl --silent --show-error --fail-with-body \
  -X POST "https://api.wavespeed.ai/api/v3/wavespeed-ai/ai-celebrity-look-alike-finder" \
  -H "Authorization: Bearer ${WAVESPEED_API_KEY}" \
  -H "Content-Type: application/json" \
  -d "${REQUEST_BODY}")

TASK=$(printf '%s' "${SUBMIT_RESPONSE}" | jq 'if type == "object" and has("data") then .data else . end')
PREDICTION_ID=$(printf '%s' "${TASK}" | jq -r '.id // empty')
if [ -z "${PREDICTION_ID}" ]; then
  printf 'Submission response did not contain a prediction id
' >&2
  exit 1
fi
RESULT_URL=$(printf '%s' "${TASK}" | jq -r '.urls.get // empty')
if [ -z "${RESULT_URL}" ]; then RESULT_URL="https://api.wavespeed.ai/api/v3/predictions/${PREDICTION_ID}/result"; fi

# 2. Poll until the prediction finishes.
while true; do
  RESPONSE=$(curl --silent --show-error --fail-with-body \
    "${RESULT_URL}" \
    -H "Authorization: Bearer ${WAVESPEED_API_KEY}")
  RESULT=$(printf '%s' "${RESPONSE}" | jq 'if type == "object" and has("data") then .data else . end')
  STATUS=$(printf '%s' "${RESULT}" | jq -r '.status // empty')

  case "${STATUS}" in
    completed) printf '%s\n' "${RESULT}" | jq '.outputs'; break ;;
    failed|cancelled|timeout) printf '%s\n' "${RESULT}" | jq . >&2; exit 1 ;;
    created|processing) sleep 2 ;;
    *) printf 'Unexpected status: %s
' "${STATUS}" >&2; exit 1 ;;
  esac
done

Parameters

Task Submission Parameters

Request Parameters

ParameterTypeRequiredDefaultRangeDescription
imagestringYes-The URL of the input image.

Response Parameters

ParameterTypeDescription
codeintegerHTTP status code (e.g., 200 for success)
messagestringStatus message (e.g., “success”)
data.idstringUnique identifier for the prediction, Task Id
data.modelstringModel ID used for the prediction
data.outputsarrayOutput values, usually URL strings; some models return text strings or structured result objects (empty when status is not completed)
data.urlsobjectObject containing related API endpoints
data.urls.getstringURL to retrieve the prediction result
data.statusstringStatus of the task: created, processing, completed, or failed
data.created_atstringISO timestamp of when the request was created (e.g., “2023-04-01T12:34:56.789Z”)
data.errorstringError message (empty if no error occurred)
data.timingsobjectObject containing timing details
data.timings.inferenceintegerInference time in milliseconds

Result Request Parameters

ParameterTypeRequiredDefaultDescription
idstringYes-Task ID

Result Response Parameters

ParameterTypeDescription
codeintegerHTTP status code (e.g., 200 for success)
messagestringStatus message (e.g., “success”)
dataobjectThe prediction data object containing all details
data.idstringUnique identifier for the prediction
data.modelstringModel ID used for the prediction
data.outputsarray<string | object>Array of generated outputs (empty when status is not completed). Items are usually URL strings, but may be text strings or structured result objects, depending on the model.
data.urlsobjectObject containing related API endpoints
data.urls.getstringURL to poll for the prediction result
data.statusstringStatus: created, processing, completed, or failed
data.created_atstringISO timestamp of when the request was created
data.errorstringError message (empty if no error occurred)
data.timingsobjectObject containing timing details
data.timings.inferenceintegerInference time in milliseconds
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