REPOGEO REPORT · LITE
bytedance/Dolphin
Default branch master · commit befa5dad · scanned 5/24/2026, 11:47:33 PM
GitHub: 9,002 stars · 765 forks
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 bytedance/Dolphin, 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.
- highreadme#1Emphasize the project's core identity immediately after the main title
Why:
CURRENTDolphin-v2 is an enhanced universal document parsing model that substantially improves upon the original Dolphin.
COPY-PASTE FIX# Dolphin: Document Image Parsing via Heterogeneous Anchor Prompting **Dolphin-v2 is an advanced open-source model for universal document image parsing and layout analysis.** It seamlessly handles any document type—whether digital-born or photographed—through a document-type-aware two-stage architecture with scalable anchor prompting.
- mediumhomepage#2Add a homepage URL to the repository metadata
Why:
COPY-PASTE FIXhttps://huggingface.co/ByteDance/Dolphin-v2
- lowlicense#3Clarify the existing license in the README
Why:
COPY-PASTE FIX## License This project is licensed under the MIT License. For full details, please refer to the [LICENSE file](LICENSE).
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.
- madmaze/pytesseract · recommended 1×
- googleapis/python-vision · recommended 1×
- Azure/azure-sdk-for-python · recommended 1×
- boto/boto3 · recommended 1×
- PaddlePaddle/PaddleOCR · recommended 1×
- CATEGORY QUERYNeed a Python library for universal document parsing and OCR on digital and photographed documents.you: not recommendedAI recommended (in order):
- Tesseract OCR (madmaze/pytesseract)
- Google Cloud Vision API (googleapis/python-vision)
- Azure AI Vision (Azure/azure-sdk-for-python)
- Amazon Textract (boto/boto3)
- PaddleOCR (PaddlePaddle/PaddleOCR)
- EasyOCR (JaidedAI/EasyOCR)
AI recommended 6 alternatives but never named bytedance/Dolphin. This is the gap to close.
Show full AI answer
- CATEGORY QUERYWhat are the best open-source models for advanced document layout analysis and structured data extraction?you: not recommendedAI recommended (in order):
- LayoutLMv3
- Donut
- PaddleOCR
- DocFormer
- DeepDoctection
- Table Transformer (TableTr)
AI recommended 6 alternatives but never named bytedance/Dolphin. This is the gap to close.
Show full AI answer
Objective checks
Rule-based audits of metadata signals AI engines weight most.
- Metadata completenesswarn
Suggestion:
- README presencepass
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 bytedance/Dolphin?passAI named bytedance/Dolphin explicitly
AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?
- If a team adopts bytedance/Dolphin in production, what risks or prerequisites should they evaluate first?passAI named bytedance/Dolphin 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 bytedance/Dolphin solve, and who is the primary audience?passAI named bytedance/Dolphin 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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bytedance/Dolphin — 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