RRepoGEO

REPOGEO REPORT · LITE

ZZZHANG-jx/DocRes

Default branch master · commit d3e3a18c · scanned 6/9/2026, 11:32:45 AM

GitHub: 609 stars · 70 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 ZZZHANG-jx/DocRes, 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 relevant topics to the repository

    Why:

    COPY-PASTE FIX
    document-restoration, image-restoration, deep-learning, computer-vision, cvpr-2024, generative-models, diffusion-models, document-analysis, ocr-enhancement
  • highreadme#2
    Add a concise introductory sentence highlighting DocRes as a deep learning model

    Why:

    CURRENT
    This is the official implementation of our paper DocRes: A Generalist Model Toward Unifying Document Image Restoration Tasks.
    COPY-PASTE FIX
    DocRes is a state-of-the-art deep learning model, specifically a conditional diffusion model, designed to unify various document image restoration tasks. This repository provides its official PyTorch implementation from our CVPR 2024 paper.
  • mediumhomepage#3
    Add the HuggingFace Space link as the repository homepage

    Why:

    COPY-PASTE FIX
    https://huggingface.co/spaces/qubvel-hf/documents-restoration

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 ZZZHANG-jx/DocRes
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
Adobe Acrobat Pro DC
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. Adobe Acrobat Pro DC · recommended 1×
  2. ABBYY FineReader PDF · recommended 1×
  3. Kofax OmniPage Ultimate · recommended 1×
  4. VueScan · recommended 1×
  5. ScanTailor Advanced · recommended 1×
  • CATEGORY QUERY
    How can I improve the quality of scanned documents for better readability and OCR?
    you: not recommended
    AI recommended (in order):
    1. Adobe Acrobat Pro DC
    2. ABBYY FineReader PDF
    3. Kofax OmniPage Ultimate
    4. VueScan
    5. ScanTailor Advanced
    6. ImageMagick
    7. Google Drive

    AI recommended 7 alternatives but never named ZZZHANG-jx/DocRes. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Seeking a unified solution for various document image enhancement and processing challenges.
    you: not recommended
    AI recommended (in order):
    1. LEADTOOLS Document Imaging SDK
    2. Aspose.Imaging for .NET / Java
    3. Dynamsoft Document Capture SDK
    4. OpenCV (opencv/opencv)
    5. Tesseract OCR (tesseract-ocr/tesseract)
    6. ImageMagick (ImageMagick/ImageMagick)

    AI recommended 6 alternatives but never named ZZZHANG-jx/DocRes. 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 ZZZHANG-jx/DocRes?
    pass
    AI named ZZZHANG-jx/DocRes explicitly

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

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

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

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ZZZHANG-jx/DocRes — 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