RRepoGEO

REPOGEO REPORT · LITE

kyutai-labs/hibiki

Default branch main · commit f1cf9293 · scanned 7/1/2026, 7:33:11 PM

GitHub: 1,470 stars · 118 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
35 /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
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 kyutai-labs/hibiki, 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 to improve categorization

    Why:

    CURRENT
    (none)
    COPY-PASTE FIX
    speech-translation, simultaneous-translation, real-time-translation, speech-to-speech, nlp, machine-learning, deep-learning, audio-processing
  • highabout#2
    Update the GitHub 'About' description and add a homepage URL

    Why:

    CURRENT
    Description: Hibiki is a model for streaming speech translation (also known as simultaneous translation). Unlike offline translation—where one waits for the end of the source utterance to start translating--- Hibiki adapts its flow to accumulate just enough context to produce a correct translation in real-time, chunk by chunk.
Homepage: (none)
    COPY-PASTE FIX
    Description: Hibiki is a model for streaming speech translation (simultaneous speech-to-speech translation) that adapts its flow to produce real-time, chunk-by-chunk audio and text translations.
Homepage: https://huggingface.co/collections/kyutai/hibiki-fr-en-67a48835a3d50ee55d37c2b5
  • mediumreadme#3
    Add a concise tagline under the main heading in the README

    Why:

    CURRENT
    # Hibiki: High-Fidelity Simultaneous Speech-To-Speech Translation

[[Read the paper]][hibiki]
[[Samples]](https://huggingface.co/spaces/kyutai/hibiki-samples)
    COPY-PASTE FIX
    # Hibiki: High-Fidelity Simultaneous Speech-To-Speech Translation

Hibiki is a state-of-the-art model for real-time, simultaneous speech-to-speech translation, delivering both audio and text output.

[[Read the paper]][hibiki]
[[Samples]](https://huggingface.co/spaces/kyutai/hibiki-samples)

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 kyutai-labs/hibiki
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
Google Cloud Translation API
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. Google Cloud Translation API · recommended 2×
  2. Google Translate · recommended 1×
  3. Microsoft Translator · recommended 1×
  4. DeepL Translator · recommended 1×
  5. iTranslate Voice · recommended 1×
  • CATEGORY QUERY
    Looking for a tool to perform real-time, simultaneous speech-to-speech translation.
    you: not recommended
    AI recommended (in order):
    1. Google Translate
    2. Microsoft Translator
    3. DeepL Translator
    4. iTranslate Voice
    5. SayHi Translate
    6. Waverly Labs Pilot Smart Earbuds
    7. Google Cloud Speech-to-Text
    8. Google Cloud Translation API
    9. Google Cloud Text-to-Speech
    10. AWS
    11. Azure

    AI recommended 11 alternatives but never named kyutai-labs/hibiki. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    How to implement adaptive, chunk-based speech translation with both audio and text output?
    you: not recommended
    AI recommended (in order):
    1. Google Cloud Speech-to-Text API
    2. Google Cloud Translation API
    3. Google Cloud Text-to-Speech API
    4. AWS Transcribe
    5. AWS Translate
    6. AWS Polly
    7. Microsoft Azure Cognitive Services
    8. OpenNMT
    9. Mozilla DeepSpeech
    10. Whisper
    11. Tacotron 2
    12. FastSpeech 2
    13. PyAudio
    14. SoundDevice
    15. Hugging Face Transformers
    16. Hugging Face Diffusers
    17. Wav2Vec2
    18. MarianMT
    19. M2M-100
    20. VALL-E
    21. Bark
    22. Speechmatics
    23. DeepL API
    24. ElevenLabs API

    AI recommended 24 alternatives but never named kyutai-labs/hibiki. 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 kyutai-labs/hibiki?
    pass
    AI named kyutai-labs/hibiki explicitly

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

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

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

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kyutai-labs/hibiki — 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