> For the complete documentation index, see [llms.txt](https://pixyleai.gitbook.io/pixyle.ai-documentation/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://pixyleai.gitbook.io/pixyle.ai-documentation/welcome-to-pixyle.ai.md).

# Welcome to Pixyle.ai

We build an AI product data enrichment platform that empowers brands and retailers to transform product images into rich, structured, and intelligent product data, making products easier to find, discover, and love. We can’t wait to see how you grow with it.

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To help you get started and to keep you up to date on features and functionality, we’ve built this guide for integrating our **intelligent product tagging and data enrichment platform** into your digital tech stack.

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With Pixyle.ai, you can **tag products with precision, enrich them with attributes, and generate product titles and descriptions that truly speak to your shoppers**, transforming your catalog into a powerful driver of discovery and conversion.

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This documentation walks you through everything step by step. Whether you’re uploading collections, verifying product data, generating titles and descriptions, or managing your taxonomy, you’ll find clear explanations and best practices here.

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Our goal is simple: to help you get the most out of Pixyle.ai, save time on manual catalog work, and create shopping experiences that feel effortless and inspiring for your customers.

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In this documentation, you’ll find everything you need to get started with Pixyle AI. We’ll walk you through the key terms, provide an overview of our products and solutions, and explain how to configure settings so you can tailor the integration to your needs.