Wine analyzer
收藏Wine Analyzer API 数据集概述
基本信息
- API名称: Wine analyzer
- 所属类别: Artificial Intelligence/Machine Learning
- 提供商: Wine Kitty
- 订阅者数量: 32
- 流行度评分: 9.4
- 服务等级: 88%
- 平均延迟: 1262ms
定价方案
- BASIC: $0.00 / 月
- PRO: $50.00 / 月
- ULTRA: $200.00 / 月
核心功能
上传葡萄酒照片,在1秒内获取以下信息:
- 香气特征
- 品酒笔记
- 侍酒温度
- 醒酒时间
- 酒精度
- 年份
- 产区
- 平均价格
- 酒庄信息
- 酒庄描述
技术优势
- 处理速度显著快于Gemini和GPT-4 Vision模型(后者需4-10秒)
- 基于检索增强生成(RAG)技术,在开源大型语言模型上训练
- 使用最新年份的葡萄酒数据进行训练和更新
数据来源
模型训练使用的数据集包括但不限于:
- Wine Spectator(提供全面的评论、评分和年份报告)
- 法国和意大利葡萄酒协会的月度葡萄酒库存发布
- Robert Parkers Wine Advocate(以详细的葡萄酒评论和评分闻名)
- Vinous (by Antonio Galloni)(提供深入的产区覆盖和评论)
- Jancis Robinson(提供独立的葡萄酒评论和行业分析)
- Decanter(提供评论、新闻和年份报告)
- Wine Business Monthly(领先的贸易出版物,提供市场分析)
- SevenFifty Daily(B2B平台,提供行业趋势和市场洞察)
- International Organisation of Vine and Wine (OIV)(全球统计和报告)
- 地区葡萄酒协会(如California Wine Institute, Wines of France)
- 地区原产地命名网站(如Bordeaux.com, Champagne.fr)
API端点
1. POST /api/analyze
功能: 分析上传的葡萄酒标签图像。 请求内容类型: multipart/form-data 请求参数:
files: 图像文件lang: 语言(en 英语 或 zh 繁体中文)
响应示例: json { "success": true, "id": "uniqueID", "results": [ { "full_wine_name": "Klein Constantia Sauvignon Blanc", "vintage": "2021", "serving_temperature_celcius_range": { "max_temp": 10, "min_temp": 8, "metric": "C" }, "food_pairing": "This white wine pairs excellently with red meats, especially steak. The rich fruit notes complement the tender meat perfectly.", "aroma": "Fresh herbal notes blended with grapefruit and green apple acidity create an enticing bouquet.", "tasting_notes": "Fresh on the palate with full acidity and intense fruit flavors, particularly well-balanced tropical fruits and lemon notes creating a pleasantly rounded mouthfeel.", "grape_variety": "Sauvignon Blanc", "average_retail_price_usd": 500, "decanting_time_minutes": 0, "winery": "Klein Constantia", "winery_description": "Located in the renowned Haut-Médoc region of France, Château Beaumont is famous for producing high-quality Bordeaux wines. The château has a rich history, focusing on traditional winemaking techniques and continuous quality improvement." } ] }
2. POST /api/search
功能: 搜索葡萄酒数据库,返回3个相关结果。 请求内容类型: application/json 请求参数:
query: 搜索查询lang: 语言(en 英语 或 zh 繁体中文)
查询示例:
- "red wine for beef"
- "Cabernet Sauvignon 2015"
- "wines with berry aromas"
- "crisp fruity white wine"
响应示例: json { "success": true, "results": { "query": [ { "full_wine_name": "Brockenhuus Vinha Verde", "vintage": "2020", "serving_temperature_celcius_range": { "max_temp": 10, "min_temp": 8, "metric": "°C" }, "food_pairing": "Seafood, shellfish, and salads.", "aroma": "Fresh green apple, herbs, and citrus zest.", "tasting_notes": "Crisp and minerally with vibrant acidity and a lingering finish.", "grape_variety": "Alvarinho, Trajadura", "average_retail_price_usd": 25, "decanting_time_minutes": 0, "winery": "Brockenhuus", "winery_description": "Brockenhuus is a boutique winery located in Denmark, known for its small-batch production and emphasis on organic and sustainable viticulture. They take pride in crafting high-quality wines that reflect the unique terroir of the region.", "wine_type": "White" } ] } }
状态码
- 200: 成功
- 400: 错误请求(例如文件过多)
- 404: 资源未找到
- 500: 服务器错误
错误响应
json { "success": false, "error": "Error message" }
相关资源
- 产品网站: https://winekitty.com
- Web演示: Wine Analyzer web demo



