Genpire - AI Tech Pack Generator vs Taste Lab: Features, Pricing & Which Is Better (2026)
A side-by-side comparison of Genpire - AI Tech Pack Generator and Taste Lab — features, pricing, and ideal use cases — to help you decide which AI tool fits your workflow.
Genpire - AI Tech Pack Generator
Genpire
Create factory-ready tech packs from prompts or sketches in minutes with AI-powered product design and manufacturing workflows.
Key features
- Prompt-and-Sketch Conversion: Transforms textual prompts or hand-drawn/ digital sketches into structured product designs and initial tech pack components, accelerating concept-to-document workflows.
- Factory-Ready Tech Packs: Generates comprehensive tech packs with BOM (Bill of Materials), POM (Points of Measurement), grading details, and construction notes formatted for supplier handoff.
- Editable Review Workflow: Provides an interface to review, refine, and edit generated tech pack content—materials, colours, dimensions and assembly notes—before export to manufacturing partners.
- Grading and Measurement Outputs: Produces size grading and detailed measurement tables suitable for sending to factories and pattern makers to ensure consistent production sizing.
- Export & Supplier Handoff: Exports finished tech packs and production documentation in formats suitable for factories and sourcing teams, streamlining the supplier communication process.
- Visual Detail Generation: Creates detailed sketches, close-ups, and product visuals to communicate construction details and aesthetic features to manufacturers and internal teams.
- Material & Color Refinement: Suggests and refines materials, trims, and colourways as part of the tech pack generation to ensure accurate BOM entries and production-ready specifications.
- Marketing Asset Creation: Generates product imagery and assets (e.g., close-ups, mockups) that can be used for marketing or supplier reference during production planning.
- Generate factory-ready tech packs from textual prompts or uploaded sketches
- AI-assisted refinement of materials, colours, dimensions and component details
- Create sketches, detailed close-ups and visual assets for products
- Review, edit and export tech packs and product specification files for factories
- Produce exportable factory-ready files and documentation for manufacturing handoff
- Web-based interface accessible via modern browsers
- Tiered plans for creators, brands and enterprise teams with enterprise integration options
Best for
- Rapid Tech Pack Creation: Fashion designers convert concept sketches or brief prompts into full tech packs to shorten time from design to factory-ready documentation.
- Small Brand Production Handoff: Indie brands prepare supplier-ready BOMs, POMs, and construction notes to onboard factories without a dedicated technical design team.
- Sourcing and Production Prep: Sourcing managers export standardized tech packs to multiple suppliers to compare quotes and ensure consistent production requirements.
- Prototype Iteration: Product teams iterate material choices, measurements, and construction details within the platform to finalize specs before sampling.
- Pattern and Grading Communication: Technical designers generate grading tables and measurement specs to share with pattern makers for accurate size development.
- Marketing and Creative Support: Creative teams produce detailed close-ups and visual assets for product pages or ads directly from the design files used to create tech packs.
- Fashion brands and designers generating complete tech packs for factories from concepts or sketches
- Small teams accelerating product development and reducing time-to-manufacture
- Product managers creating standardized specification documents for suppliers
- Enterprises streamlining design-to-manufacturing handoffs via exportable tech-pack files
- Designers producing detailed visual assets and close-ups for supplier clarification and marketing
Taste Lab
Sen Lin
Taste Lab is a Claude Code skill that turns any URL into a complete design context: design tokens plus the reasoning and trade-offs behind every choice.
Key features
- Design Map Extraction: Captures every color, font weight, spacing value, radius, and shadow with exact px/hex/ratio citations across 20 measurement categories.
- Taste DNA Inference: Derives four design principles, each with a Trigger, Decision, Reason, Evidence, and Trade-off explaining why each choice was made.
- Four-Agent Pipeline: Runs Extract, Detect Patterns, Infer Taste, and Observer stages, each reading the page through a sharper lens.
- Anti-Slop Quality Gate: A final critic stage runs anti-slop checks and validates JSON before writing output.
- Dual File Output: Writes a {domain}.md and {domain}.json that any AI agent can build from.
Best for
- Cloning Design Systems: Give an AI agent a complete, reasoned design context to rebuild a site's look and feel.
- Design Reviews: Understand the deliberate trade-offs behind a website's visual decisions.
- Agent-Assisted Frontend Work: Feed structured taste files into coding agents so they make the right call on unseen pages.