RRepoGEO

REPOGEO REPORT · LITE

jashandeep-sohi/webcam-filters

Default branch master · commit 82e216d9 · scanned 6/7/2026, 8:57:05 AM

GitHub: 552 stars · 17 forks

AI VISIBILITY SCORE
28 /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
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 jashandeep-sohi/webcam-filters, 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 project status and niche

    Why:

    CURRENT
    Add filters (background blur, etc) to your webcam on Linux.
    
    Video conferencing applications tend to either lack video effects altogether or support only a limited set of capabilities on Linux (e.g. Zoom [#]_, Google Meets [#]_).
    
    Goal here is to provide a virtual webcam via ``v4l2loopback`` with a common set of filters that can be used everywhere.
    COPY-PASTE FIX
    webcam-filters is a lightweight, Python-based command-line tool for Linux, providing a virtual webcam with essential real-time video effects like background blur. It integrates with `v4l2loopback` to enhance video conferencing on platforms such as Zoom and Google Meet, offering a simple, open-source alternative to larger streaming suites or commercial applications.
  • mediumhomepage#2
    Add a homepage URL to the repository's About section

    Why:

    COPY-PASTE FIX
    https://github.com/jashandeep-sohi/webcam-filters
  • mediumreadme#3
    Add a 'Project Status' or 'Stability' section to the README

    Why:

    COPY-PASTE FIX
    ## Project Status
    
    This project is designed as a stable, lightweight utility for Linux webcam effects. While major feature updates may be infrequent, critical bug fixes and compatibility updates will be addressed as needed. Users seeking a simple, reliable solution for virtual webcam filters on Linux can depend on its core functionality.

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 jashandeep-sohi/webcam-filters
Avg rank
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
OBS Studio
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. OBS Studio · recommended 1×
  2. OBS Background Removal · recommended 1×
  3. StreamFX · recommended 1×
  4. Webcamoid · recommended 1×
  5. Kdenlive · recommended 1×
  • CATEGORY QUERY
    How can I add background blur and other video effects to my webcam on Linux?
    you: not recommended
    AI recommended (in order):
    1. OBS Studio
    2. OBS Background Removal
    3. StreamFX
    4. Webcamoid
    5. Kdenlive
    6. VLC Media Player
    7. GNOME Cheese

    AI recommended 7 alternatives but never named jashandeep-sohi/webcam-filters. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Need a virtual webcam solution for video conferencing with custom effects on Linux.
    you: not recommended
    AI recommended (in order):
    1. OBS Studio (obsproject/obs-studio)
    2. v4l2loopback (umlaeute/v4l2loopback)
    3. ManyCam
    4. Snap Camera
    5. Kdenlive (KDE/kdenlive)
    6. GStreamer (GStreamer/gstreamer)

    AI recommended 6 alternatives but never named jashandeep-sohi/webcam-filters. 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 jashandeep-sohi/webcam-filters?
    pass
    AI named jashandeep-sohi/webcam-filters explicitly

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

  • If a team adopts jashandeep-sohi/webcam-filters in production, what risks or prerequisites should they evaluate first?
    pass
    AI named jashandeep-sohi/webcam-filters 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 jashandeep-sohi/webcam-filters solve, and who is the primary audience?
    pass
    AI did not name jashandeep-sohi/webcam-filters — 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 jashandeep-sohi/webcam-filters. 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/jashandeep-sohi/webcam-filters"><img src="https://repogeo.com/badge/jashandeep-sohi/webcam-filters.svg" alt="RepoGEO" /></a>
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jashandeep-sohi/webcam-filters — 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