REPOGEO REPORT · LITE

rdumasia303/deepseek_ocr_app

Default branch main · commit 3dac0741 · scanned 5/18/2026, 6:48:36 AM

GitHub: 1,808 stars · 304 forks

Scan history for this repo

Score trend below includes all ready runs (older left, newer right; scroll horizontally if needed). The table is collapsed by default—expand for newest-first rows, 10 per page.

Score trend (left → right: older → newer)

2 ready scans. Expand the table below for newest-first rows (10 per page, paginated).

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 rdumasia303/deepseek_ocr_app, 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

Update the repository's 'About' description

Why:

CURRENT

A quick vibe coded app for deepseek OCR

COPY-PASTE FIX

A modern, full-featured web application for DeepSeek OCR, offering PDF processing, multi-format document conversion (Markdown, HTML, Word, JSON), and formula preservation, built with React and FastAPI. Ideal for deploying a custom OCR solution or as a reference implementation.

hightopics#2

Add relevant topics to the repository

Why:

COPY-PASTE FIX

ocr, deepseek, react, fastapi, pdf-processing, document-conversion, text-extraction, ai, machine-learning, web-application, fullstack, python, javascript

highreadme#3

Enhance the README's opening paragraph to clarify its positioning

Why:

CURRENT

Modern OCR web application powered by DeepSeek-OCR with a stunning React frontend and FastAPI backend.

COPY-PASTE FIX

This open-source web application provides a ready-to-deploy solution for DeepSeek OCR, offering a powerful alternative to commercial PDF OCR tools and a complete example for developers building with DeepSeek's API. It features a stunning React frontend and FastAPI backend, now with advanced PDF processing and multi-format document conversion!

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 rdumasia303/deepseek_ocr_app

Avg rank

—

Lower is better. #1 = top recommendation.

Share of voice

Of all named tools, what % are you?

Top rival

Adobe Acrobat Pro DC

Recommended in 1 of 2 queries

COMPETITOR LEADERBOARD

Adobe Acrobat Pro DC · recommended 1×
ABBYY FineReader PDF · recommended 1×
Kofax Power PDF Advanced · recommended 1×
Nitro Pro · recommended 1×
PDFelement (Wondershare) · recommended 1×

CATEGORY QUERY
What's a good OCR tool for extracting text from PDFs and converting to Word?
you: not recommended
AI recommended (in order):
1. Adobe Acrobat Pro DC
2. ABBYY FineReader PDF
3. Kofax Power PDF Advanced
4. Nitro Pro
5. PDFelement (Wondershare)
AI recommended 5 alternatives but never named rdumasia303/deepseek_ocr_app. This is the gap to close.
Show full AI answer
CATEGORY QUERY
How to build a web app for OCR that preserves formulas and formatting?
you: not recommended
AI recommended (in order):
1. Mathpix OCR
2. Tesseract OCR
3. OpenCV
4. MathJax
5. KaTeX
6. Google Cloud Vision AI
7. Microsoft Azure AI Vision
8. Amazon Textract
AI recommended 8 alternatives but never named rdumasia303/deepseek_ocr_app. 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 rdumasia303/deepseek_ocr_app?
pass
AI named rdumasia303/deepseek_ocr_app explicitly
AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?
If a team adopts rdumasia303/deepseek_ocr_app in production, what risks or prerequisites should they evaluate first?
pass
AI named rdumasia303/deepseek_ocr_app 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 rdumasia303/deepseek_ocr_app solve, and who is the primary audience?
pass
AI did not name rdumasia303/deepseek_ocr_app — 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 rdumasia303/deepseek_ocr_app. 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)

[![RepoGEO](https://repogeo.com/badge/rdumasia303/deepseek_ocr_app.svg)](https://repogeo.com/en/r/rdumasia303/deepseek_ocr_app)

HTML

<a href="https://repogeo.com/en/r/rdumasia303/deepseek_ocr_app"><img src="https://repogeo.com/badge/rdumasia303/deepseek_ocr_app.svg" alt="RepoGEO" /></a>

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rdumasia303/deepseek_ocr_app — 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