RRepoGEO

REPOGEO REPORT · LITE

imanoop7/Ollama-OCR

Default branch main · commit 389d220b · scanned 5/26/2026, 9:57:44 PM

GitHub: 2,286 stars · 258 forks

AI VISIBILITY SCORE
30 /100
Critical
Category recall
0 / 2
Not recommended in any query
Rule findings
1 pass · 0 warn · 1 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 imanoop7/Ollama-OCR, 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
  • highabout#1
    Add a concise repository description

    Why:

    COPY-PASTE FIX
    A powerful OCR package and Streamlit app that uses local, self-hosted vision language models via Ollama to extract text from images and PDFs.
  • hightopics#2
    Add relevant topics to improve discoverability

    Why:

    COPY-PASTE FIX
    ollama, ocr, vision-language-models, llm, python, streamlit, pdf-parser, image-to-text, local-llm
  • mediumreadme#3
    Reposition the README's opening to emphasize local Ollama LLM

    Why:

    CURRENT
    A powerful OCR (Optical Character Recognition) package that uses state-of-the-art vision language models through Ollama to extract text from images and PDF. Available both as a Python package and a Streamlit web application.
    COPY-PASTE FIX
    A powerful OCR (Optical Character Recognition) package that leverages **local, self-hosted vision language models via Ollama** to extract text from images and PDFs. Available both as a Python package and a Streamlit web application, it offers a privacy-focused alternative to cloud-based solutions.

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 imanoop7/Ollama-OCR
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
Amazon Textract
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. Amazon Textract · recommended 2×
  2. PaddlePaddle/PaddleOCR · recommended 1×
  3. JaidedAI/EasyOCR · recommended 1×
  4. madmaze/pytesseract · recommended 1×
  5. Google Cloud Vision AI · recommended 1×
  • CATEGORY QUERY
    Need a Python package for extracting text from images and PDFs with vision models.
    you: not recommended
    AI recommended (in order):
    1. PaddleOCR (PaddlePaddle/PaddleOCR)
    2. EasyOCR (JaidedAI/EasyOCR)
    3. pytesseract (madmaze/pytesseract)
    4. Google Cloud Vision AI
    5. Azure AI Vision
    6. Amazon Textract

    AI recommended 6 alternatives but never named imanoop7/Ollama-OCR. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Looking for a tool to perform OCR on complex documents using multiple vision language models.
    you: not recommended
    AI recommended (in order):
    1. Google Cloud Document AI Workbench
    2. Microsoft Azure Form Recognizer
    3. Amazon Textract
    4. OpenAI GPT-4V
    5. Tesseract (tesseract-ocr/tesseract)
    6. Google Vision API
    7. Hugging Face Transformers (huggingface/transformers)
    8. LayoutLMv3
    9. Donut
    10. Nougat
    11. Kofax OmniPage Capture SDK

    AI recommended 11 alternatives but never named imanoop7/Ollama-OCR. This is the gap to close.

    Show full AI answer

Objective checks

Rule-based audits of metadata signals AI engines weight most.

  • Metadata completeness
    fail

    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 imanoop7/Ollama-OCR?
    pass
    AI named imanoop7/Ollama-OCR explicitly

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

  • If a team adopts imanoop7/Ollama-OCR in production, what risks or prerequisites should they evaluate first?
    pass
    AI named imanoop7/Ollama-OCR 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 imanoop7/Ollama-OCR solve, and who is the primary audience?
    pass
    AI named imanoop7/Ollama-OCR 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 imanoop7/Ollama-OCR. 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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imanoop7/Ollama-OCR — 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