REPOGEO REPORT · LITE

Dicklesworthstone/llm_aided_ocr

Default branch main · commit 9d5d28d4 · scanned 5/14/2026, 6:42:36 AM

GitHub: 2,924 stars · 205 forks

AI VISIBILITY SCORE

28 /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

2 / 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 Dicklesworthstone/llm_aided_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

highreadme#1

Reposition README introduction to highlight open-source, local LLM, and self-hostable nature

Why:

CURRENT

The LLM-Aided OCR Project is an advanced system designed to significantly enhance the quality of Optical Character Recognition (OCR) output. By leveraging cutting-edge natural language processing techniques and large language models (LLMs), this project transforms raw OCR text into highly accurate, well-formatted, and readable documents.

COPY-PASTE FIX

The LLM-Aided OCR Project is an **open-source Python library and system** designed to significantly enhance the quality of Optical Character Recognition (OCR) output. By leveraging cutting-edge natural language processing techniques and **self-hostable Large Language Models (LLMs)** (local or API-based), this project transforms raw OCR text into highly accurate, well-formatted, and readable documents, offering a powerful alternative to proprietary cloud services.

mediumhomepage#2
Add a homepage URL to the repository settings
Why:
COPY-PASTE FIX
```
https://github.com/Dicklesworthstone/llm_aided_ocr
```

mediumlicense#3

Clarify the project's license(s) in the README

Why:

COPY-PASTE FIX

## License

This project is licensed under [Specify License Name(s) and terms, e.g., 'a custom license combining elements of X and Y. See the LICENSE file for full details.']

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 Dicklesworthstone/llm_aided_ocr

Avg rank

—

Lower is better. #1 = top recommendation.

Share of voice

Of all named tools, what % are you?

Top rival

Google Cloud Document AI

Recommended in 2 of 2 queries

COMPETITOR LEADERBOARD

Google Cloud Document AI · recommended 2×
Amazon Textract · recommended 2×
Microsoft Azure Form Recognizer (now Azure AI Document Intelligence) · recommended 1×
Rossum · recommended 1×
Nanonets · recommended 1×

CATEGORY QUERY
What tools enhance raw OCR output with AI for better accuracy and formatting?
you: not recommended
AI recommended (in order):
1. Google Cloud Document AI
2. Amazon Textract
3. Microsoft Azure Form Recognizer (now Azure AI Document Intelligence)
4. Rossum
5. Nanonets
6. Abbyy FineReader Engine SDK
AI recommended 6 alternatives but never named Dicklesworthstone/llm_aided_ocr. This is the gap to close.
Show full AI answer
CATEGORY QUERY
Seeking a solution to correct OCR errors and structure text from scanned documents using large language models.
you: not recommended
AI recommended (in order):
1. Google Cloud Document AI
2. Azure AI Document Intelligence
3. Amazon Textract
4. OpenAI GPT-4 / GPT-3.5 Turbo
5. Anthropic Claude 3 (Opus/Sonnet)
6. Hugging Face Transformers
7. LayoutLMv3
8. Donut (Document Understanding Transformer)
9. LLaMA 2 / Mistral
AI recommended 9 alternatives but never named Dicklesworthstone/llm_aided_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
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 Dicklesworthstone/llm_aided_ocr?
pass
AI named Dicklesworthstone/llm_aided_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 Dicklesworthstone/llm_aided_ocr in production, what risks or prerequisites should they evaluate first?
pass
AI named Dicklesworthstone/llm_aided_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 Dicklesworthstone/llm_aided_ocr solve, and who is the primary audience?
pass
AI did not name Dicklesworthstone/llm_aided_ocr — 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 Dicklesworthstone/llm_aided_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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HTML

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Deep reports10 / month
Brand-free category queries5 vs 2 in Lite
Prioritized action items8 vs 3 in Lite