RRepoGEO

REPOGEO REPORT · LITE

vndee/local-talking-llm

Default branch main · commit 0f538c0e · scanned 6/10/2026, 12:08:29 PM

GitHub: 862 stars · 192 forks

Scan history for this repo

Score trend below includes all ready runs (older left, newer right; scroll horizontally if needed). The table is collapsed by default—expand for newest-first rows, 10 per page.

Score trend (left → right: older → newer)

2 ready scans. Expand the table below for newest-first rows (10 per page, paginated).

AI VISIBILITY SCORE
40 /100
Critical
Category recall
0 / 2
Not recommended in any query
Rule findings
2 pass · 0 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 vndee/local-talking-llm, 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
  • hightopics#1
    Add specific topics for 'voice assistant' and key features

    Why:

    CURRENT
    chatbot, llm, speech-recognition, speech-synthesis
    COPY-PASTE FIX
    voice-assistant, offline, local, voice-cloning, emotional-speech, chatbot, llm, speech-recognition, speech-synthesis
  • highreadme#2
    Clarify README's opening to position as a complete local voice assistant solution

    Why:

    CURRENT
    After my latest post about how to build your own RAG and run it locally. Today, we're taking it a step further by not only implementing the conversational abilities of large language models but also adding listening and speaking capabilities. The idea is straightforward: we are going to create a voice assistant reminiscent of Jarvis or Friday from the iconic Iron Man movies, which can operate offline on your computer.
    COPY-PASTE FIX
    This repository provides a complete, self-contained solution to build and run your own offline voice assistant locally, integrating Whisper for speech-to-text, Ollama for the large language model, and ChatterBox for advanced text-to-speech. Inspired by AI assistants like Jarvis, it enables private, verbal interaction with an LLM on your computer, featuring voice cloning and emotional expressiveness.
  • mediumreadme#3
    Add a dedicated 'Features' section to the README

    Why:

    COPY-PASTE FIX
    ### Key Features

*   **Offline Operation:** Runs entirely on your local machine without internet access.
*   **Full Voice Interaction:** Integrates speech-to-text (Whisper) for input and text-to-speech (ChatterBox) for responses.
*   **Local LLM Integration:** Utilizes Ollama for running large language models locally.
*   **Voice Cloning:** Clone any voice with just a short audio sample (via ChatterBox).
*   **Emotion Control:** Adjust emotional expressiveness of responses (via ChatterBox).
*   **High Performance TTS:** Leverages ChatterBox's 0.5B parameter model for faster inference.
*   **Neural Watermarking:** Built-in watermarking for authenticity of generated audio.

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 vndee/local-talking-llm
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
OpenVoiceOS/ovos-core
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. OpenVoiceOS/ovos-core · recommended 1×
  2. MycroftAI/mycroft-core · recommended 1×
  3. ggerganov/llama.cpp · recommended 1×
  4. ollama/ollama · recommended 1×
  5. mozilla/DeepSpeech · recommended 1×
  • CATEGORY QUERY
    How can I build an offline voice assistant with a large language model locally?
    you: not recommended
    AI recommended (in order):
    1. OpenVoiceOS (OVOS) (OpenVoiceOS/ovos-core)
    2. Mycroft AI (MycroftAI/mycroft-core)
    3. Llama.cpp (ggerganov/llama.cpp)
    4. Ollama (ollama/ollama)
    5. Mozilla DeepSpeech (mozilla/DeepSpeech)
    6. Coqui STT (coqui-ai/STT)
    7. Whisper.cpp (ggerganov/whisper.cpp)
    8. Mozilla TTS (mozilla/TTS)
    9. Coqui TTS (coqui-ai/TTS)
    10. Piper (rhasspy/piper)
    11. Home Assistant (home-assistant/core)
    12. Rhasspy (rhasspy/rhasspy)
    13. Kaldi (kaldi-asr/kaldi)
    14. Pocketsphinx (cmusphinx/pocketsphinx)
    15. Mimic 3 (MycroftAI/mimic3)
    16. eSpeak NG (espeak-ng/espeak-ng)
    17. WebRTC VAD (wiseman/py-webrtcvad)
    18. Porcupine (Picovoice/porcupine)
    19. Snowboy (kitt-ai/snowboy)

    AI recommended 19 alternatives but never named vndee/local-talking-llm. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What tools allow local voice cloning and emotional speech synthesis for a custom assistant?
    you: not recommended
    AI recommended (in order):
    1. Mycroft Mimic 3
    2. Mozilla TTS
    3. Coqui TTS
    4. Rhasspy
    5. Tacotron 2
    6. WaveNet
    7. PyTorch
    8. TensorFlow

    AI recommended 8 alternatives but never named vndee/local-talking-llm. This is the gap to close.

    Show full AI answer

Objective checks

Rule-based audits of metadata signals AI engines weight most.

  • Metadata completeness
    pass

  • 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 vndee/local-talking-llm?
    pass
    AI named vndee/local-talking-llm explicitly

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

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

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

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vndee/local-talking-llm — 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
vndee/local-talking-llm — RepoGEO report