RRepoGEO

REPOGEO REPORT · LITE

TimmyOVO/deepseek-ocr.rs

Default branch master · commit 02b933df · scanned 5/13/2026, 11:57:01 PM

GitHub: 2,160 stars · 168 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 TimmyOVO/deepseek-ocr.rs, 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

2 prioritized changes generated by gemini-2.5-flash. Mark items done after you ship the fix.

OVERALL DIRECTION
  • highreadme#1
    Reposition the README's opening paragraph to highlight core differentiators

    Why:

    CURRENT
    Rust implementation of the DeepSeek-OCR inference stack with a fast CLI and an OpenAI-compatible HTTP server. The workspace packages multiple OCR backends, prompt tooling, and a serving layer so you can build document understanding pipelines that run locally on CPU, Apple Metal, or (alpha) NVIDIA CUDA GPUs.
    COPY-PASTE FIX
    A Rust-native, multi-backend OCR/VLM engine (DeepSeek-OCR-1/2, PaddleOCR-VL, DotsOCR) with an OpenAI-compatible server and CLI. It enables local document understanding pipelines on CPU, Apple Metal, or NVIDIA CUDA GPUs, completely free of Python dependencies.
  • mediumabout#2
    Add a homepage URL to the repository's About section

    Why:

    COPY-PASTE FIX
    https://github.com/TimmyOVO/deepseek-ocr.rs

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 TimmyOVO/deepseek-ocr.rs
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
Tesseract
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. Tesseract · recommended 1×
  2. tesseract-sys · recommended 1×
  3. tesseract-rs · recommended 1×
  4. PaddleOCR · recommended 1×
  5. PaddlePaddle · recommended 1×
  • CATEGORY QUERY
    How to implement an efficient OCR solution in Rust without Python dependencies?
    you: not recommended
    AI recommended (in order):
    1. Tesseract
    2. tesseract-sys
    3. tesseract-rs
    4. PaddleOCR
    5. PaddlePaddle
    6. OpenCV
    7. opencv
    8. Tesseract.js
    9. wasmtime
    10. wasmer
    11. tch-rs
    12. LibTorch
    13. PyTorch
    14. burn

    AI recommended 14 alternatives but never named TimmyOVO/deepseek-ocr.rs. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Seeking an OpenAI-compatible API for local document understanding with GPU support.
    you: not recommended
    AI recommended (in order):
    1. LocalAI (go-skynet/LocalAI)
    2. Ollama (ollama/ollama)
    3. vLLM (vllm-project/vllm)
    4. TGI (Text Generation Inference) (huggingface/text-generation-inference)
    5. FastAPI (tiangolo/fastapi)
    6. Hugging Face Transformers (huggingface/transformers)
    7. PyTorch (pytorch/pytorch)
    8. TensorFlow (tensorflow/tensorflow)
    9. NVIDIA Triton Inference Server (triton-inference-server/server)

    AI recommended 9 alternatives but never named TimmyOVO/deepseek-ocr.rs. 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 TimmyOVO/deepseek-ocr.rs?
    pass
    AI did not name TimmyOVO/deepseek-ocr.rs — 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?

  • If a team adopts TimmyOVO/deepseek-ocr.rs in production, what risks or prerequisites should they evaluate first?
    pass
    AI named TimmyOVO/deepseek-ocr.rs 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 TimmyOVO/deepseek-ocr.rs solve, and who is the primary audience?
    pass
    AI named TimmyOVO/deepseek-ocr.rs explicitly

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

Embed your GEO score

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TimmyOVO/deepseek-ocr.rs — 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
TimmyOVO/deepseek-ocr.rs — RepoGEO report