RRepoGEO

REPOGEO REPORT · LITE

harry0703/AudioNotes

Default branch main · commit 0ead8956 · scanned 5/27/2026, 1:23:27 PM

GitHub: 2,066 stars · 298 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 harry0703/AudioNotes, 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's opening to clarify application type and local AI focus

    Why:

    CURRENT
    ## 基于 FunASR 和 Qwen2 构建的音视频转结构化笔记系统

能够快速提取音视频的内容，并且调用大模型进行整理，成为一份结构化的markdown笔记，方便快速阅读
    COPY-PASTE FIX
    ## AudioNotes: Self-Hostable Application for Structured Audio/Video Notes with Local AI

AudioNotes is a self-hostable application that leverages local AI models (FunASR, Qwen2 via Ollama) to automatically transcribe audio/video, summarize content, and generate structured Markdown notes. It offers a privacy-focused solution for efficiently capturing and organizing spoken information, enabling quick review and interactive chat with your content.
  • mediumtopics#2
    Expand topics with application-specific keywords

    Why:

    CURRENT
    ai, asr, funasr, ollama, python, qwen2, whisper
    COPY-PASTE FIX
    ai, asr, funasr, ollama, python, qwen2, whisper, audio-transcription, video-summarization, local-llm, self-hosted, markdown-notes, knowledge-management, note-taking-app
  • mediumhomepage#3
    Add the repository URL as the homepage

    Why:

    COPY-PASTE FIX
    https://github.com/harry0703/AudioNotes

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 harry0703/AudioNotes
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
Notta
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. Notta · recommended 1×
  2. Happy Scribe · recommended 1×
  3. Otter.ai · recommended 1×
  4. Trint · recommended 1×
  5. Descript · recommended 1×
  • CATEGORY QUERY
    How to automatically transcribe audio and video into structured markdown notes?
    you: not recommended
    AI recommended (in order):
    1. Notta
    2. Happy Scribe
    3. Otter.ai
    4. Trint
    5. Descript
    6. AssemblyAI

    AI recommended 6 alternatives but never named harry0703/AudioNotes. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Tool to summarize video content and enable chat interaction using local AI models?
    you: not recommended
    AI recommended (in order):
    1. Whisper (openai/whisper)
    2. Llama 3 (Meta-Llama/Llama-3)
    3. Mixtral 8x7B (mistralai/mistral-src)
    4. Gemma (google/gemma.cpp)
    5. Ollama (ollama/ollama)
    6. LM Studio
    7. LlamaIndex (run-llama/llama_index)
    8. LangChain (langchain-ai/langchain)
    9. Sentence-BERT (UKPLab/sentence-transformers)
    10. ChromaDB (chromadb/chroma)
    11. FAISS (facebookresearch/faiss)
    12. yt-dlp (yt-dlp/yt-dlp)
    13. LocalGPT (PromtEngineer/localGPT)
    14. PrivateGPT (imartinez/privateGPT)
    15. moviepy (Zulko/moviepy)
    16. pydub (jiaaro/pydub)
    17. transformers (huggingface/transformers)
    18. ctransformers (marella/ctransformers)
    19. NLTK (nltk/nltk)
    20. spaCy (explosion/spaCy)
    21. Mozilla DeepSpeech (mozilla/DeepSpeech)

    AI recommended 21 alternatives but never named harry0703/AudioNotes. 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 harry0703/AudioNotes?
    pass
    AI did not name harry0703/AudioNotes — 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 harry0703/AudioNotes in production, what risks or prerequisites should they evaluate first?
    pass
    AI named harry0703/AudioNotes 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 harry0703/AudioNotes solve, and who is the primary audience?
    pass
    AI named harry0703/AudioNotes explicitly

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

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harry0703/AudioNotes — 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