RRepoGEO

REPOGEO REPORT · LITE

Henry-23/VideoChat

Default branch master · commit 303681e6 · scanned 5/22/2026, 1:43:21 PM

GitHub: 1,246 stars · 163 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)

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

AI VISIBILITY SCORE
35 /100
Critical
Category recall
0 / 2
Not recommended in any query
Rule findings
1 pass · 1 warn · 0 fail
Objective metadata checks
AI knows your name
3 / 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 Henry-23/VideoChat, 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 H1 and opening paragraph to clarify project category

    Why:

    CURRENT
    # 数字人对话demo
实时语音交互数字人，支持端到端（MLLM - THG）和级联（ASR-LLM-TTS-THG）。可自定义形象与音色，支持音色克隆，首包延迟低至3s。
    COPY-PASTE FIX
    # VideoChat: 实时交互数字人对话demo (Real-time AI-powered Digital Human Dialogue Demo)
本项目是一个用于构建实时语音交互数字人的开源框架，支持端到端（MLLM - THG）和级联（ASR-LLM-TTS-THG）方案。它专注于提供可自定义形象与音色、支持音色克隆、并实现低至3s首包延迟的数字人解决方案，而非通用视频聊天应用。
  • mediumabout#2
    Add a homepage URL to the repository's 'About' section

    Why:

    COPY-PASTE FIX
    https://your-project-demo-or-website.com (replace with actual URL)
  • mediumreadme#3
    Add a 'Key Features' or 'Comparison' section to the README

    Why:

    COPY-PASTE FIX
    ## 核心特性 (Key Features)
*   **端到端与级联方案:** 支持多模态大语言模型 (MLLM) 的端到端方案，以及 ASR-LLM-TTS-THG 级联方案。
*   **自定义形象与音色:** 灵活定制数字人外观和声音，支持音色克隆。
*   **低延迟交互:** 首包延迟低至3秒，提供流畅的实时对话体验。
*   **先进技术栈:** 集成 FunASR, Qwen, GLM-4-Voice, GPT-SoVITS, CosyVoice, MuseTalk 等前沿技术。
*   **非通用视频聊天:** 本项目专注于AI驱动的数字人生成与交互，而非传统的点对点视频通话应用。

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 Henry-23/VideoChat
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
NVIDIA Omniverse Audio2Face
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. NVIDIA Omniverse Audio2Face · recommended 2×
  2. Unreal Engine · recommended 2×
  3. Ready Player Me · recommended 2×
  4. Google Cloud Text-to-Speech · recommended 2×
  5. Amazon Polly · recommended 2×
  • CATEGORY QUERY
    How to build a real-time interactive digital human with custom voice cloning?
    you: not recommended
    AI recommended (in order):
    1. NVIDIA Omniverse Audio2Face
    2. NVIDIA Riva
    3. NVIDIA ACE
    4. Unreal Engine
    5. MetaHuman Creator
    6. ElevenLabs
    7. DeepMotion
    8. Mixamo
    9. Rokoko Studio
    10. Unity
    11. Ready Player Me
    12. Character Creator
    13. Google Cloud Text-to-Speech
    14. Amazon Polly
    15. ARKit
    16. MediaPipe (google/mediapipe)
    17. Synthesia
    18. HeyGen
    19. Blender (blender/blender)
    20. Rhubarb Lip Sync (DanielSWolf/rhubarb-lip-sync)
    21. Mozilla TTS (mozilla/TTS)
    22. Coqui TTS (coqui-ai/TTS)

    AI recommended 22 alternatives but never named Henry-23/VideoChat. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Seeking a low-latency multimodal AI solution for conversational avatars with lip-sync.
    you: not recommended
    AI recommended (in order):
    1. NVIDIA Omniverse Audio2Face
    2. Unreal Engine
    3. DeepMotion Animate 3D
    4. Ready Player Me
    5. Apple's ARKit
    6. Unreal Engine Live Link Face
    7. MetaHuman Animator
    8. AWS Sumerian
    9. Amazon Polly
    10. Amazon Lex
    11. Google Cloud Dialogflow
    12. Rhubarb Lip Sync
    13. Google Cloud Text-to-Speech

    AI recommended 13 alternatives but never named Henry-23/VideoChat. This is the gap to close.

    Show full AI answer

Objective checks

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

  • Metadata completeness
    warn

    Suggestion:

  • 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 Henry-23/VideoChat?
    pass
    AI named Henry-23/VideoChat explicitly

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

  • If a team adopts Henry-23/VideoChat in production, what risks or prerequisites should they evaluate first?
    pass
    AI named Henry-23/VideoChat 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 Henry-23/VideoChat solve, and who is the primary audience?
    pass
    AI named Henry-23/VideoChat explicitly

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

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Henry-23/VideoChat — 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