RRepoGEO

REPOGEO REPORT · LITE

vladmandic/face-api

Default branch master · commit 189226d6 · scanned 6/28/2026, 3:11:23 PM

GitHub: 1,072 stars · 203 forks

Scan history for this repo

Score trend below includes all ready runs (older left, newer right; scroll horizontally if needed). The table is collapsed by default—expand for newest-first rows, 10 per page.

Score trend (left → right: older → newer)

3 ready scans. Expand the table below for newest-first rows (10 per page, paginated).

AI VISIBILITY SCORE
33 /100
Critical
Category recall
0 / 2
Not recommended in any query
Rule findings
2 pass · 0 warn · 0 fail
Objective metadata checks
AI knows your name
2 / 3
Direct prompts that named your repo
HOW TO READ THIS REPORT

Action plan is what to do next — copy-pasteable changes prioritized by impact. Category visibility is the real GEO test: when a user asks an AI a brand-free question that should surface vladmandic/face-api, does the AI actually recommend you — or your competitors? Objective checks verify the metadata signals AI engines weight first. Self-mention check detects whether AI even knows you exist by name.

Action plan — copy-paste fixes

3 prioritized changes generated by gemini-2.5-flash. Mark items done after you ship the fix.

OVERALL DIRECTION
  • highreadme#1
    Reposition README opening to clarify client-side JavaScript library focus

    Why:

    CURRENT
    # FaceAPI

**AI-powered Face Detection & Rotation Tracking, Face Description & Recognition, Age & Gender & Emotion Prediction for Browser and NodeJS using TensorFlow/JS**
    COPY-PASTE FIX
    # FaceAPI

**A client-side, AI-powered JavaScript library for Face Detection & Rotation Tracking, Face Description & Recognition, Age & Gender & Emotion Prediction, designed for Browser and NodeJS using TensorFlow/JS.**
  • highreadme#2
    Add a 'Why this fork?' section to highlight active maintenance and improvements

    Why:

    COPY-PASTE FIX
    ## Why vladmandic/face-api?

This project is an actively maintained and modernized fork of the popular `justadudewhohacks/face-api.js` library. It offers improved stability, performance, and modern development practices (e.g., TypeScript rewrite, updated dependencies) for robust production use in browser and NodeJS environments.
  • mediumtopics#3
    Add `javascript` and `browser` to topics

    Why:

    CURRENT
    age-gender, emotion-detection, face-api, face-detection, face-recognition, tensorflow, tfjs
    COPY-PASTE FIX
    age-gender, emotion-detection, face-api, face-detection, face-recognition, tensorflow, tfjs, javascript, browser

Category GEO backends resolved for this scan: google/gemini-2.5-flash, deepseek/deepseek-v4-flash

Category visibility — the real GEO test

Brand-free queries asked to google/gemini-2.5-flash. Did AI recommend you, or someone else?

Same questions for every model — switch tabs to compare answers and rankings.

Recall
0 / 2
0% of queries surface vladmandic/face-api
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
Amazon Rekognition
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. Amazon Rekognition · recommended 1×
  2. Microsoft Azure Face API · recommended 1×
  3. Google Cloud Vision AI · recommended 1×
  4. Face++ (Megvii) · recommended 1×
  5. Kairos · recommended 1×
  • CATEGORY QUERY
    How can I add face detection, recognition, and emotion prediction to my web application?
    you: not recommended
    AI recommended (in order):
    1. Amazon Rekognition
    2. Microsoft Azure Face API
    3. Google Cloud Vision AI
    4. Face++ (Megvii)
    5. Kairos
    6. OpenCV
    7. dlib
    8. face_recognition.py
    9. Face-api.js

    AI recommended 9 alternatives but never named vladmandic/face-api. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What TensorFlow.js libraries enable age, gender, and emotion analysis in JavaScript?
    you: not recommended
    AI recommended (in order):
    1. face-api.js
    2. FaceMesh
    3. BlazeFace

    AI recommended 3 alternatives but never named vladmandic/face-api. This is the gap to close.

    Show full AI answer

Objective checks

Rule-based audits of metadata signals AI engines weight most.

  • Metadata completeness
    pass

  • README presence
    pass

Self-mention check

Does AI even know your repo exists when asked about it directly?

  • Compared to common alternatives in this category, what is the core differentiator of vladmandic/face-api?
    pass
    AI named vladmandic/face-api explicitly

    AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?

  • If a team adopts vladmandic/face-api in production, what risks or prerequisites should they evaluate first?
    pass
    AI named vladmandic/face-api explicitly

    AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?

  • In one sentence, what problem does the repo vladmandic/face-api solve, and who is the primary audience?
    pass
    AI did not name vladmandic/face-api — likely talking about a different project

    AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?

Embed your GEO score

Drop this badge into the README of vladmandic/face-api. It auto-updates whenever the report is rescanned and links back to the latest report — easy public proof that you care about AI discoverability.

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MARKDOWN (README)
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HTML
<a href="https://repogeo.com/en/r/vladmandic/face-api"><img src="https://repogeo.com/badge/vladmandic/face-api.svg" alt="RepoGEO" /></a>
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vladmandic/face-api — Lite scans stay free; this card itemizes Pro deep limits vs Lite.

  • Deep reports10 / month
  • Brand-free category queries5 vs 2 in Lite
  • Prioritized action items8 vs 3 in Lite