JigsawStack

Amazon Rekognition makes it easy to add image and video analysis to your applications using proven, highly scalable, deep learning technology that requires no machine learning expertise to use. With Amazon Rekognition, you can identify objects, people, text, scenes, and activities in images and videos, as well as detect any inappropriate content. Amazon Rekognition also provides highly accurate facial analysis and facial search capabilities that you can use to detect, analyze, and compare faces for a wide variety of user verification, people counting, and public safety use cases. With Amazon Rekognition Custom Labels, you can identify the objects and scenes in images that are specific to your business needs. For example, you can build a model to classify specific machine parts on your assembly line or to detect unhealthy plants. Amazon Rekognition Custom Labels takes care of the heavy lifting of model development for you, so no machine learning experience is required.

OpenGraph.io is a developer-focused web API service that fetches and returns structured metadata from any given URL, primarily Open Graph tags such as title, description, image, and other relevant page information, so applications can generate rich link previews, embed contextual content, and automate metadata extraction without building custom scrapers. It works even on pages that lack well-defined Open Graph tags by inferring missing values from the page’s HTML, and offers different endpoint capabilities, including pure Open Graph tag extraction, more extensive content extraction (headers, paragraphs, structured page text), full HTML scraping with JavaScript rendering support, and high-speed screenshot capture for visual previews of web pages. The API returns data in a consistent JSON format tailored for integration into workflows, dashboards, apps, and marketing or content platforms, and developers can call it programmatically using API keys with SDKs or standard HTTP requests.