RRepoGEO

REPOGEO REPORT · LITE

sanchit-gandhi/whisper-jax

Default branch main · commit f983178a · scanned 5/10/2026, 5:47:48 PM

GitHub: 4,689 stars · 414 forks

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 sanchit-gandhi/whisper-jax, 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
  • highhomepage#1
    Add a homepage URL to the repository metadata

    Why:

    COPY-PASTE FIX
    https://huggingface.co/spaces/sanchit-gandhi/whisper-jax
  • highreadme#2
    Refine the README's opening statement to explicitly highlight 'fastest on TPUs'

    Why:

    CURRENT
    This repository contains optimised JAX code for OpenAI's Whisper Model, largely built on the 🤗 Hugging Face Transformers Whisper implementation. Compared to OpenAI's PyTorch code, Whisper JAX runs over **70x** faster, making it the fastest Whisper implementation available.
    COPY-PASTE FIX
    Whisper JAX is the **fastest** implementation of OpenAI's Whisper model, leveraging JAX for **up to 70x speed-up on TPUs** compared to PyTorch, making it the premier choice for high-performance speech-to-text and translation.
  • mediumtopics#3
    Add 'huggingface' to the repository topics

    Why:

    CURRENT
    deep-learning, jax, speech-recognition, speech-to-text, whisper
    COPY-PASTE FIX
    deep-learning, jax, speech-recognition, speech-to-text, whisper, huggingface

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 sanchit-gandhi/whisper-jax
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
NVIDIA NeMo
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. NVIDIA NeMo · recommended 2×
  2. Whisper · recommended 1×
  3. Google Cloud Speech-to-Text API · recommended 1×
  4. AssemblyAI API · recommended 1×
  5. DeepSpeech · recommended 1×
  • CATEGORY QUERY
    Looking for a highly performant library to transcribe audio quickly using deep learning.
    you: not recommended
    AI recommended (in order):
    1. Whisper
    2. NVIDIA NeMo
    3. Google Cloud Speech-to-Text API
    4. AssemblyAI API
    5. DeepSpeech
    6. SpeechBrain

    AI recommended 6 alternatives but never named sanchit-gandhi/whisper-jax. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What are the fastest deep learning options for converting speech to text on TPUs?
    you: not recommended
    AI recommended (in order):
    1. NVIDIA NeMo
    2. Google's Speech-to-Text API
    3. Hugging Face Transformers
    4. TensorFlow ASR
    5. ESPnet

    AI recommended 5 alternatives but never named sanchit-gandhi/whisper-jax. 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 sanchit-gandhi/whisper-jax?
    pass
    AI named sanchit-gandhi/whisper-jax explicitly

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

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

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

Embed your GEO score

Drop this badge into the README of sanchit-gandhi/whisper-jax. It auto-updates whenever the report is rescanned and links back to the latest report — easy public proof that you care about AI discoverability.

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MARKDOWN (README)
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sanchit-gandhi/whisper-jax — Lite scans stay free; this card itemizes Pro deep limits vs Lite.

  • Deep reports10 / month
  • Brand-free category queries5 vs 2 in Lite
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