GamemodeG/ocr_scanner_gemini
📄 Scan documents easily with Gemini AI to extract text and align images in a web app. Perfect for quick and accurate OCR processing.
What's novel
📄 Scan documents easily with Gemini AI to extract text and align images in a web app. Perfect for quick and accurate OCR processing.
Code Analysis
11 files read · 3 roundsA Flask web application that scans document photos by detecting corners (via OpenCV contour detection or Gemini AI image generation), applying perspective transformation through a 9-stage image processing pipeline, and extracting structured text (Markdown, ASCII diagrams, descriptions, SEO keywords)
Strengths
Well-structured clean architecture with proper dependency inversion, strategy pattern for swappable corner detectors, and MD5-based caching to avoid redundant API calls. The OpenCV corner detector's multi-strategy fallback chain (12+ parameter combinations across 3 algorithms) shows genuine engineering effort in handling diverse document photos.
Weaknesses
No tests whatsoever, debug prints and file saves left in production code, _order_points duplicated in 3 places, and the Gemini corner detection approach (asking AI to draw green dots then finding them via HSV filtering) is inherently fragile and unreliable. The README is generic marketing copy that doesn't describe the actual architecture, the 9-stage pipeline, or the parallel text extraction features.
Score Breakdown
Signal breakdown
Innovation
Craft
Traction
Scope
Evidence
Commits
18
Contributors
2
Files
157
Active weeks
3
Repository
Language
Python
Stars
1
Forks
0
License
—