RRepoGEO

REPOGEO REPORT · LITE

rishikanthc/Scriberr

Default branch main · commit bdb8838b · scanned 5/10/2026, 7:17:36 AM

GitHub: 2,650 stars · 196 forks

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 rishikanthc/Scriberr, 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 clarify Scriberr is a self-hosted application

    Why:

    CURRENT
    ai, audio, transcript, transcription
    COPY-PASTE FIX
    ai, audio, transcript, transcription, self-hosted, web-app, application, privacy
  • highreadme#2
    Reinforce Scriberr's identity as a self-hosted application in the README's opening

    Why:

    CURRENT
    Scriberr is an open-source, and completely offline audio transcription application designed for self-hosters who value privacy and performance.
    COPY-PASTE FIX
    Scriberr is a **self-hosted, open-source web application** for completely offline audio transcription, designed for users who prioritize privacy and performance. Unlike underlying speech-to-text libraries, Scriberr provides a full user interface and API for managing and processing audio files on your own infrastructure.
  • mediumabout#3
    Refine the repository description to emphasize "application"

    Why:

    CURRENT
    Self-hosted AI audio transcription
    COPY-PASTE FIX
    Scriberr is a self-hosted, open-source web application for private and offline AI audio transcription.

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 rishikanthc/Scriberr
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
openai/whisper
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. openai/whisper · recommended 1×
  2. alphacep/vosk-api · recommended 1×
  3. mozilla/DeepSpeech · recommended 1×
  4. kaldi-asr/kaldi · recommended 1×
  5. coqui-ai/STT · recommended 1×
  • CATEGORY QUERY
    What are good self-hosted open-source solutions for private offline audio transcription?
    you: not recommended
    AI recommended (in order):
    1. Whisper (openai/whisper)
    2. Vosk (alphacep/vosk-api)
    3. Mozilla DeepSpeech (mozilla/DeepSpeech)
    4. Kaldi (kaldi-asr/kaldi)
    5. Coqui STT (coqui-ai/STT)

    AI recommended 5 alternatives but never named rishikanthc/Scriberr. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Looking for an open-source AI tool to accurately transcribe audio files locally for privacy.
    you: not recommended
    AI recommended (in order):
    1. Whisper
    2. Vosk
    3. Mozilla DeepSpeech
    4. Coqui STT
    5. Kaldi

    AI recommended 5 alternatives but never named rishikanthc/Scriberr. 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 rishikanthc/Scriberr?
    pass
    AI named rishikanthc/Scriberr explicitly

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

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

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

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rishikanthc/Scriberr — 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