AI detector · Expression · Alibaba Cloud

Recognize Expression

Upload a portrait to detect facial expressions per visible face—neutral, happiness, surprise, sadness, anger, disgust, fear, pouting, and grimace. You get expression labels, face confidence, and optional face boxes for integration-style review (not a medical or legal judgment).

Your upload

Clear, front-facing photos work best. One run analyzes the whole frame; each detected face gets a row on the result page.

Sample preview

Illustrative asset for the tool—your own uploads are analyzed on the left when you run recognition.

Facial expression recognition sample preview

How it works

Powered by Alibaba Cloud RecognizeExpression under the facebody product line: the model localizes faces, estimates expression among nine categories, and returns a face probability score for each region. Use outputs as a lightweight signal alongside context and policy.

01

Upload a clear image

JPEG, PNG, BMP, TIF, or WEBP up to about 3 MB after service rules; the uploader compresses large files. Prefer resolution under 2048×2048 with a face large enough for stable scores.

02

Cloud analysis

The image is sent securely with your account token. The API returns one element per detected face: expression label, face probability (0–1), and optional rectangle coordinates.

03

Review results

Open the result page to read each face. Treat labels as probabilistic—combine with human review for anything sensitive.

FAQ

Expression categories, multi-face behavior, credits, file limits, and responsible use.

Try another portrait

Use Recognize Expression for quick expression reads—then iterate with clearer photos if faces are small, blurred, or heavily occluded.

Back to upload