RRepoGEO

REPOGEO REPORT · LITE

ai-ng/2txt

Default branch main · commit 67811875 · scanned 6/14/2026, 10:08:00 PM

GitHub: 556 stars · 73 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 ai-ng/2txt, 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 H1 to specify category and audience

    Why:

    CURRENT
    # 2txt

Image to text, fast. Built with the Vercel AI SDK, GPT 4.1-nano, and Next.js.
    COPY-PASTE FIX
    # 2txt: Fast Image-to-Text for Next.js Applications

Extract text from images quickly using AI, built with Vercel AI SDK and GPT 4.1-nano, ideal for web developers.
  • highlicense#2
    Add a LICENSE file to the repository

    Why:

    COPY-PASTE FIX
    Add a LICENSE file to the repository root, for example, with the MIT License text.
  • mediumtopics#3
    Add more specific topics to improve category visibility

    Why:

    CURRENT
    artificial-intelligence, nextjs, openai, vercel
    COPY-PASTE FIX
    artificial-intelligence, nextjs, openai, vercel, ocr, image-to-text, ai-vision, text-extraction

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 ai-ng/2txt
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
Google Cloud Vision AI
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. Google Cloud Vision AI · recommended 2×
  2. Amazon Textract · recommended 1×
  3. Microsoft Azure AI Vision · recommended 1×
  4. Tesseract OCR · recommended 1×
  5. PaddleOCR · recommended 1×
  • CATEGORY QUERY
    How to quickly extract text content from images using an AI model?
    you: not recommended
    AI recommended (in order):
    1. Google Cloud Vision AI
    2. Amazon Textract
    3. Microsoft Azure AI Vision
    4. Tesseract OCR
    5. PaddleOCR
    6. EasyOCR

    AI recommended 6 alternatives but never named ai-ng/2txt. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    How can I integrate AI vision capabilities into a Next.js application for text extraction?
    you: not recommended
    AI recommended (in order):
    1. Google Cloud Vision AI
    2. Amazon Rekognition
    3. Microsoft Azure Cognitive Services - Computer Vision
    4. Tesseract.js
    5. OpenCV.js
    6. Cloudinary AI

    AI recommended 6 alternatives but never named ai-ng/2txt. 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 ai-ng/2txt?
    pass
    AI named ai-ng/2txt explicitly

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

  • If a team adopts ai-ng/2txt in production, what risks or prerequisites should they evaluate first?
    pass
    AI named ai-ng/2txt 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 ai-ng/2txt solve, and who is the primary audience?
    pass
    AI named ai-ng/2txt explicitly

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

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ai-ng/2txt — Lite scans stay free; this card itemizes Pro deep limits vs Lite.

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  • Brand-free category queries5 vs 2 in Lite
  • Prioritized action items8 vs 3 in Lite