RRepoGEO

REPOGEO REPORT · LITE

amanvirparhar/chaplin

Default branch main · commit 7aee1f8f · scanned 6/5/2026, 7:57:47 PM

GitHub: 738 stars · 84 forks

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 amanvirparhar/chaplin, 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 application and differentiation

    Why:

    CURRENT
    # Chaplin
    
    A visual speech recognition (VSR) tool that reads your lips in real-time and types whatever you silently mouth. Runs fully locally.
    COPY-PASTE FIX
    # Chaplin
    
    A standalone, real-time visual speech recognition (VSR) application that transcribes silently mouthed words directly on your local machine. Unlike cloud APIs or general computer vision libraries, Chaplin provides an end-to-end solution for lip-reading and typing what you silently mouth, running fully offline.
  • mediumtopics#2
    Add more specific topics to reinforce local, application-focused nature

    Why:

    CURRENT
    auto-avsr, avsr, llm, ollama, speech-recognition, speech-to-text, vsr
    COPY-PASTE FIX
    auto-avsr, avsr, llm, ollama, speech-recognition, speech-to-text, vsr, lip-reading, offline-ai, local-first
  • lowhomepage#3
    Add a homepage URL to About section

    Why:

    COPY-PASTE FIX
    https://github.com/amanvirparhar/chaplin

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 amanvirparhar/chaplin
Avg rank
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
OpenCV
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. OpenCV · recommended 2×
  2. Google Cloud Video Intelligence API · recommended 1×
  3. Microsoft Azure AI Video Indexer · recommended 1×
  4. Azure Custom Vision · recommended 1×
  5. Azure Speech-to-Text · recommended 1×
  • CATEGORY QUERY
    What are the best tools for real-time silent speech-to-text conversion from video input?
    you: not recommended
    AI recommended (in order):
    1. Google Cloud Video Intelligence API
    2. Microsoft Azure AI Video Indexer
    3. Azure Custom Vision
    4. Azure Speech-to-Text
    5. AWS Rekognition
    6. Amazon SageMaker
    7. AWS Transcribe
    8. OpenCV
    9. LipNet
    10. Wav2Lip
    11. DeepMind's Lip Reading Watch, Attend and Spell (WAS) model
    12. VGG-Face

    AI recommended 12 alternatives but never named amanvirparhar/chaplin. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    How to achieve local, real-time visual speech recognition for transcribing silently mouthed words?
    you: not recommended
    AI recommended (in order):
    1. MediaPipe
    2. OpenCV
    3. TensorFlow
    4. PyTorch
    5. DeepFace
    6. Dlib
    7. OpenVINO

    AI recommended 7 alternatives but never named amanvirparhar/chaplin. 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 amanvirparhar/chaplin?
    pass
    AI named amanvirparhar/chaplin explicitly

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

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

    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 amanvirparhar/chaplin. 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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amanvirparhar/chaplin — Lite scans stay free; this card itemizes Pro deep limits vs Lite.

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  • Brand-free category queries5 vs 2 in Lite
  • Prioritized action items8 vs 3 in Lite