Face transform

Face Transform

Analyze and transform faces through AceDataCloud's Face API suite.

Setup: See authentication for token setup.

Quick Start

curl -X POST https://api.acedata.cloud/face/analyze \
  -H "Authorization: Bearer $ACEDATACLOUD_API_TOKEN" \
  -H "Content-Type: application/json" \
  -d '{"image_url": "https://example.com/portrait.jpg"}'

Available APIs

Endpoint	Purpose	Description
POST /face/analyze	Face Detection	Detect face keypoints (90+ points per face)
POST /face/beautify	Beautification	Apply beauty/decoration effects
POST /face/change-age	Age Transform	Make a face look older or younger
POST /face/change-gender	Gender Swap	Transform facial gender characteristics
POST /face/swap	Face Swap	Replace one person's face with another
POST /face/cartoon	Cartoon Style	Convert portrait to animated/cartoon style
POST /face/detect-live	Liveness Check	Detect if a face image is from a live person

Workflows

1. Face Analysis

Detect faces and extract 90+ keypoints per face.

POST /face/analyze
{
  "image_url": "https://example.com/photo.jpg"
}

Response includes detailed keypoints: nose, mouth, left_eye, right_eye, left_eyebrow, right_eyebrow, contour — each as arrays of {x, y} coordinates.

2. Face Beautification

POST /face/beautify
{
  "image_url": "https://example.com/portrait.jpg"
}

3. Age Transformation

age_infos is required — one entry per face, each carrying the target age.

POST /face/change-age
{
  "image_url": "https://example.com/portrait.jpg",
  "age_infos": [{ "age": 60 }]
}

4. Gender Swap

gender_infos is required. gender is 0 to turn a male face female, 1 for the reverse.

POST /face/change-gender
{
  "image_url": "https://example.com/portrait.jpg",
  "gender_infos": [{ "gender": 1 }]
}

5. Face Swap

Replace the face in the target image with the face from the source.

POST /face/swap
{
  "source_image_url": "https://example.com/source-face.jpg",
  "target_image_url": "https://example.com/target-person.jpg"
}

6. Cartoon Style

POST /face/cartoon
{
  "image_url": "https://example.com/portrait.jpg"
}

7. Liveness Detection

POST /face/detect-live
{
  "image_url": "https://example.com/face-photo.jpg"
}

Parameters

Common

Parameter	Required	Description
image_url	Yes (all except /face/swap)	Source face image URL

/face/change-age

Parameter	Required	Description
age_infos	Yes	Array of { "age": <number> }, one per face. Omitting it returns 400 age_infos is required

/face/change-gender

Parameter	Required	Description
gender_infos	Yes	Array of { "gender": 0|1 } — 0 male→female, 1 female→male. Each entry also accepts an optional face_rect

/face/swap

Parameter	Required	Description
source_image_url	Yes	URL of the face to use (replaces the face)
target_image_url	Yes	URL of the image to put the face onto
callback_url	No	Webhook URL for async delivery
timeout	No	Max wait time in seconds (default: 120)

/face/beautify

Parameter	Required	Description
image_url	Yes	Image URL
smoothing	No	Skin smoothing 0–100 (default: 10)
whitening	No	Whitening 0–100 (default: 30)
face_lifting	No	Face slimming 0–100 (default: 70)
eye_enlarging	No	Eye enlarging 0–100 (default: 70)

/face/analyze

Parameter	Required	Description
image_url	Yes	Image URL
mode	No	0 = all faces (default), 1 = largest face only
face_model_version	No	Algorithm version (recommended: 3.0)
need_rotate_detection	No	0 = disabled (default), 1 = enabled

Gotchas

• All face APIs return results synchronously. /face/swap additionally supports an optional callback_url parameter for async delivery (pass it to receive the result via webhook instead of waiting inline)
• Face analyze returns 90+ keypoints per detected face, supporting multiple faces in one image
• Face swap uses source_image_url (the face to apply) and target_image_url (the body to apply it to)
• All APIs are currently in Alpha stage — interfaces may evolve
• Images should contain clearly visible, front-facing faces for best results
• Liveness detection helps distinguish live photos from printed/screen photos