RRepoGEO

REPOGEO REPORT · LITE

Dicklesworthstone/bulk_transcribe_youtube_videos_from_playlist

Default branch main · commit ae3fb76e · scanned 6/16/2026, 4:12:30 AM

GitHub: 676 stars · 81 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 Dicklesworthstone/bulk_transcribe_youtube_videos_from_playlist, 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 introduction to clarify unique value

    Why:

    CURRENT
    # Bulk Transcribe Youtube Videos from Playlists
    
    ## Introduction
    
    This Python-based tool is designed for transcribing YouTube videos and playlists into text. It integrates various technologies like faster-whisper for transcription, SpaCy for natural language processing, and CUDA for GPU acceleration, aimed at processing video content efficiently. The script is capable of handling both individual videos and entire playlists, outputting accurate transcripts along with metadata.
    COPY-PASTE FIX
    # Bulk Transcribe YouTube Playlists with Local Whisper (Python CLI)
    
    ## Introduction
    
    This Python command-line tool automates high-quality transcription for entire YouTube playlists, leveraging `faster-whisper` for efficient local inference with GPU acceleration (CUDA). Unlike commercial SaaS or raw libraries, it provides a complete, self-hosted solution for content creators, researchers, and developers needing accurate text from video collections.
  • highabout#2
    Update 'About' description to highlight local, bulk, Python CLI nature

    Why:

    CURRENT
    Easily take an entire YouTube playlist and turn it into high quality transcripts using Whisper.
    COPY-PASTE FIX
    Automate high-quality, local transcription of entire YouTube playlists using Python and Faster Whisper, with optional GPU acceleration.
  • mediumhomepage#3
    Add a homepage URL to the repository metadata

    Why:

    COPY-PASTE FIX
    https://github.com/Dicklesworthstone/bulk_transcribe_youtube_videos_from_playlist

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 Dicklesworthstone/bulk_transcribe_youtube_videos_from_playlist
Avg rank
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
Happy Scribe
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. Happy Scribe · recommended 1×
  2. Trint · recommended 1×
  3. Rev · recommended 1×
  4. Descript · recommended 1×
  5. Otter.ai · recommended 1×
  • CATEGORY QUERY
    How can I automatically generate high-quality transcripts for an entire YouTube playlist?
    you: not recommended
    AI recommended (in order):
    1. Happy Scribe
    2. Trint
    3. Rev
    4. Descript
    5. Otter.ai
    6. Google Cloud Speech-to-Text
    7. Azure Cognitive Services Speech-to-text

    AI recommended 7 alternatives but never named Dicklesworthstone/bulk_transcribe_youtube_videos_from_playlist. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What's a good Python tool for fast, accurate local video transcription using GPU acceleration?
    you: not recommended
    AI recommended (in order):
    1. Whisper (OpenAI) (openai/whisper)
    2. Faster Whisper (guillaumekln/faster-whisper)
    3. NVIDIA NeMo (NVIDIA/NeMo)
    4. SpeechRecognition (Uberi/speech_recognition)
    5. Vosk (alphacep/vosk-api)
    6. Kaldi (kaldi-asr/kaldi)
    7. AssemblyAI

    AI recommended 7 alternatives but never named Dicklesworthstone/bulk_transcribe_youtube_videos_from_playlist. 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 Dicklesworthstone/bulk_transcribe_youtube_videos_from_playlist?
    pass
    AI did not name Dicklesworthstone/bulk_transcribe_youtube_videos_from_playlist — 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 Dicklesworthstone/bulk_transcribe_youtube_videos_from_playlist in production, what risks or prerequisites should they evaluate first?
    pass
    AI named Dicklesworthstone/bulk_transcribe_youtube_videos_from_playlist 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 Dicklesworthstone/bulk_transcribe_youtube_videos_from_playlist solve, and who is the primary audience?
    pass
    AI did not name Dicklesworthstone/bulk_transcribe_youtube_videos_from_playlist — 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

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Dicklesworthstone/bulk_transcribe_youtube_videos_from_playlist — 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