RRepoGEO

REPOGEO REPORT · LITE

mudler/parakeet.cpp

Default branch master · commit 89f5e297 · scanned 6/25/2026, 6:32:14 PM

GitHub: 573 stars · 54 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 mudler/parakeet.cpp, 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
    Clarify README's opening to explicitly state Automatic Speech Recognition (ASR)

    Why:

    CURRENT
    # parakeet.cpp
    
    **Brought to you by the LocalAI team**, the folks behind LocalAI, the open-source AI engine that runs any model (LLMs, vision, voice, image, video) on any hardware, no GPU required.
    
    [](https://huggingface.co/mudler/parakeet-cpp-gguf)
    [](LICENSE)
    [](https://github.com/mudler/LocalAI)
    
    parakeet.cpp is a C++17 inference port of NVIDIA's NeMo Parakeet speech-recognition models, built on ggml.
    COPY-PASTE FIX
    # parakeet.cpp: Fast C++ Automatic Speech Recognition (ASR) with ggml
    
    **Brought to you by the LocalAI team**, the folks behind LocalAI, the open-source AI engine that runs any model (LLMs, vision, voice, image, video) on any hardware, no GPU required.
    
    [](https://huggingface.co/mudler/parakeet-cpp-gguf)
    [](LICENSE)
    [](https://github.com/mudler/LocalAI)
    
    parakeet.cpp is a C++17 inference port of NVIDIA's NeMo Parakeet **Automatic Speech Recognition (ASR)** models, built on ggml.
  • hightopics#2
    Add comprehensive topics to improve categorization

    Why:

    CURRENT
    (none)
    COPY-PASTE FIX
    asr, speech-recognition, c-plus-plus, ggml, nemo, parakeet, real-time, streaming, multilingual, cpu-inference, low-latency, speech-to-text
  • mediumreadme#3
    Add a 'Key Features' bulleted list to the README

    Why:

    COPY-PASTE FIX
    ## Key Features
    
    *   **C++17 Inference:** A native C++ port of NVIDIA's NeMo Parakeet ASR models, built on ggml.
    *   **Fast & Dependency-Light:** Optimized for CPU (and GPU via ggml backends) with no Python runtime needed at inference.
    *   **Comprehensive Model Support:** Covers all offline Parakeet families (CTC, RNNT, TDT, hybrid TDT-CTC, 0.6B/1.1B/110M sizes, English + multilingual v3).
    *   **Cache-Aware Streaming:** Includes end-of-utterance (EOU) detection for `parakeet_realtime_eou_120m-v1`.
    *   **Multilingual & Prompt-Conditioned:** Supports `nvidia/nemotron-3.5-asr-streaming-0.6b` (40+ locales) with language prompting.
    *   **Performance:** Faster than NeMo's PyTorch runtime on both CPU and GPU, with byte-identical transcripts.

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 mudler/parakeet.cpp
Avg rank
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
Vosk API
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. Vosk API · recommended 1×
  2. Picovoice Rhino Speech-to-Intent · recommended 1×
  3. Porcupine Wake Word · recommended 1×
  4. ONNX Runtime · recommended 1×
  5. OpenAI's Whisper · recommended 1×
  • CATEGORY QUERY
    How to achieve fast, dependency-light automatic speech recognition inference in C++ without Python?
    you: not recommended
    AI recommended (in order):
    1. Vosk API
    2. Picovoice Rhino Speech-to-Intent
    3. Porcupine Wake Word
    4. ONNX Runtime
    5. OpenAI's Whisper
    6. Conformer
    7. Mozilla DeepSpeech
    8. Kaldi
    9. TensorFlow Lite

    AI recommended 9 alternatives but never named mudler/parakeet.cpp. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What C++ libraries offer streaming multilingual speech recognition with end-of-utterance detection?
    you: not recommended
    AI recommended (in order):
    1. Vosk API (alphacep/vosk-api)
    2. Picovoice Rhino Speech-to-Intent (Picovoice/rhino)
    3. Picovoice Porcupine Wake Word (Picovoice/porcupine)
    4. Mozilla DeepSpeech (mozilla/DeepSpeech)
    5. WebRTC VAD (wiseman/webrtc-audio-processing)
    6. Google Cloud Speech-to-Text API (googleapis/google-cloud-cpp)
    7. Microsoft Azure Speech SDK
    8. Amazon Transcribe (aws/aws-sdk-cpp)

    AI recommended 8 alternatives but never named mudler/parakeet.cpp. 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 mudler/parakeet.cpp?
    pass
    AI did not name mudler/parakeet.cpp — 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 mudler/parakeet.cpp in production, what risks or prerequisites should they evaluate first?
    pass
    AI named mudler/parakeet.cpp 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 mudler/parakeet.cpp solve, and who is the primary audience?
    pass
    AI did not name mudler/parakeet.cpp — 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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mudler/parakeet.cpp — 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