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Document Intelligence + Computer Vision2026 · Operational Prototype
# Vine Suite
A unified wine analysis API that verifies bottle identities through OCR and Vision Language Models. Combines web image search, multi-engine OCR, and VLM verification into a scored ranking pipeline.
VLMOCRFastAPINext.jsDockerComputer Vision
Problem
Wine e-commerce and inventory systems struggle to verify that product photos match claimed SKUs. Manual checks do not scale; naive image search returns noisy results without semantic verification.
Approach
Orchestrate OpenSerp search with parallel OCR (EasyOCR, Tesseract, PaddleOCR) and VLM verification (Gemini, Mistral, Qwen, PaddleVLM). Aggregate signals into a scored ranking with configurable strictness levels.
Impact
- * Multi-provider VLM support enables fallback and comparison across model capabilities.
- * Batch processing API supports high-throughput verification workflows.
- * Docker Compose orchestration deploys the full stack (nginx, Next.js frontend, FastAPI backend, OCR microservice) behind a single reverse proxy.