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Specify (with AI)

Rating:

2.8 / 5.0

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Specify (with AI)

Tags

Design Data, Design System, Design Token, Asset Management, AI, Automation, Design Ops, Frontend Development, SaaS

Pricing Details

Subscription-based pricing (SaaS). Various plans available.

Features

Design Data Management, Design Token Management, Asset Management, AI-powered Extraction, Automation, Sync with Design Tools (Figma, Sketch, Adobe XD), Sync with Code Repos, Code Generation, API, CLI, Centralized Repository, Consistency.

Integrations

Integrations with design tools (Figma, Sketch, Adobe XD), code repositories (GitHub, GitLab, Bitbucket, etc.).

Preview

Specify is a design system data management platform that leverages artificial intelligence (AI) and machine learning (ML) technologies to automate processes and ensure consistency between design and development. Founded in 2018, Specify addresses the challenge of scattered design system data by providing a centralized repository for storing design tokens, assets, and other style elements. The application of AI in Specify includes: automatic extraction of design tokens (such as colors, typography, spacing) directly from design tool files (Figma, Sketch, Adobe XD), which reduces manual effort and the likelihood of errors; potential capabilities for identifying inconsistencies or anomalies in design data; automated processing and preparation of design assets for various platforms. Specify provides seamless synchronization of design system data with code repositories, allowing for the automatic generation of production-ready code (in various formats and languages) based on the latest design tokens and assets. The platform is implemented as a cloud-based SaaS solution and is accessible via a web interface, API, and Command Line Interface (CLI), which facilitates integration into existing workflows. Specify is aimed at teams and companies looking to scale their design systems and streamline the process of handing off design specifications from designers to developers. Pricing is subscription-based.