RRepoGEO

REPOGEO REPORT · LITE

Dadangdut33/Speech-Translate

Default branch master · commit 4d97ba89 · scanned 6/11/2026, 7:57:29 PM

GitHub: 651 stars · 84 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 Dadangdut33/Speech-Translate, 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 the README's opening sentence to emphasize 'desktop GUI application'

    Why:

    CURRENT
    Speech Translate is a practical application that combines OpenAI's Whisper ASR model with free translation APIs.
    COPY-PASTE FIX
    Speech Translate is a **real-time desktop GUI application** that combines OpenAI's Whisper ASR model with free translation APIs.
  • highabout#2
    Add a homepage URL to the repository's 'About' section

    Why:

    COPY-PASTE FIX
    https://github.com/Dadangdut33/Speech-Translate
  • mediumtopics#3
    Add more specific topics to reinforce 'desktop application' and 'GUI'

    Why:

    CURRENT
    python, speech-transcription, speech-translation, tkinter-python, translate, whisper
    COPY-PASTE FIX
    python, speech-transcription, speech-translation, tkinter-python, translate, whisper, **desktop-application, gui-app, realtime-speech-app**

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 Dadangdut33/Speech-Translate
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. OpenAI Whisper · recommended 2×
  3. Google Cloud Speech-to-Text API · recommended 1×
  4. AWS Transcribe · recommended 1×
  5. AWS Translate · recommended 1×
  • CATEGORY QUERY
    How can I implement real-time speech transcription and translation in a Python application?
    you: not recommended
    AI recommended (in order):
    1. Google Cloud Speech-to-Text API
    2. Google Cloud Translation API
    3. AWS Transcribe
    4. AWS Translate
    5. Boto3
    6. Microsoft Azure Cognitive Services
    7. Speech Service
    8. Translator Text API
    9. Azure SDK for Python
    10. OpenAI Whisper
    11. AssemblyAI
    12. Deepgram
    13. Mozilla DeepSpeech

    AI recommended 13 alternatives but never named Dadangdut33/Speech-Translate. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What Python tools are available for building a desktop app with live voice translation?
    you: not recommended
    AI recommended (in order):
    1. PyQt
    2. PySide6
    3. Google Cloud Speech-to-Text
    4. Google Cloud Translation API
    5. Google Cloud Text-to-Speech
    6. Tkinter
    7. Vosk
    8. MarianMT
    9. gTTS
    10. Kivy
    11. SpeechRecognition
    12. LibreTranslate
    13. pyttsx3
    14. Azure Cognitive Services Speech
    15. Azure Translator
    16. Streamlit
    17. OpenAI Whisper
    18. DeepL API
    19. ElevenLabs API

    AI recommended 19 alternatives but never named Dadangdut33/Speech-Translate. 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 Dadangdut33/Speech-Translate?
    pass
    AI did not name Dadangdut33/Speech-Translate — 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 Dadangdut33/Speech-Translate in production, what risks or prerequisites should they evaluate first?
    pass
    AI named Dadangdut33/Speech-Translate 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 Dadangdut33/Speech-Translate solve, and who is the primary audience?
    pass
    AI did not name Dadangdut33/Speech-Translate — 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?

Embed your GEO score

Drop this badge into the README of Dadangdut33/Speech-Translate. 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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Dadangdut33/Speech-Translate — 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