RRepoGEO

REPOGEO REPORT · LITE

Purfview/whisper-standalone-win

Default branch main · commit 491a815b · scanned 5/30/2026, 6:01:42 AM

GitHub: 3,051 stars · 164 forks

AI VISIBILITY SCORE
22 /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
1 / 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 Purfview/whisper-standalone-win, 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 the README's opening to emphasize 'standalone, no Python' for Windows

    Why:

    CURRENT
    Standalone executables of OpenAI's Whisper & Faster-Whisper for those who don't want to bother with Python.
    COPY-PASTE FIX
    This repository offers **fully standalone, portable executables** of OpenAI's Whisper and Faster-Whisper, specifically for Windows users. Get efficient speech-to-text transcription **without any Python installation, compilation, or complex setup.**
  • highlicense#2
    Add a LICENSE file to the repository

    Why:

    COPY-PASTE FIX
    Create a LICENSE file in the repository root, specifying the chosen open-source license (e.g., MIT, Apache-2.0, GPL-3.0).
  • mediumhomepage#3
    Add a homepage URL to the repository's About section

    Why:

    COPY-PASTE FIX
    Add a relevant URL (e.g., a project page, documentation, or even the GitHub repo URL itself) to the 'Homepage' field in the repository settings.

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 Purfview/whisper-standalone-win
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
DeepSpeech
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. DeepSpeech · recommended 2×
  2. Whisper.cpp · recommended 1×
  3. Vosk · recommended 1×
  4. Google Cloud Speech-to-Text API · recommended 1×
  5. AWS Transcribe · recommended 1×
  • CATEGORY QUERY
    How to get fast speech-to-text transcription without Python dependencies?
    you: not recommended
    AI recommended (in order):
    1. Whisper.cpp
    2. Vosk
    3. DeepSpeech
    4. Google Cloud Speech-to-Text API
    5. AWS Transcribe
    6. Azure Cognitive Services Speech

    AI recommended 6 alternatives but never named Purfview/whisper-standalone-win. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Looking for a standalone executable for efficient audio transcription and speaker diarization on Windows.
    you: not recommended
    AI recommended (in order):
    1. Whisper Desktop
    2. Vosk-API
    3. pyannote.audio
    4. DeepSpeech
    5. Audacity
    6. Trint
    7. Happy Scribe
    8. Dragon NaturallySpeaking

    AI recommended 8 alternatives but never named Purfview/whisper-standalone-win. 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 Purfview/whisper-standalone-win?
    pass
    AI did not name Purfview/whisper-standalone-win — 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?

  • If a team adopts Purfview/whisper-standalone-win in production, what risks or prerequisites should they evaluate first?
    pass
    AI named Purfview/whisper-standalone-win 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 Purfview/whisper-standalone-win solve, and who is the primary audience?
    pass
    AI did not name Purfview/whisper-standalone-win — 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?

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Purfview/whisper-standalone-win — 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