floor Plan ai vs Taste Lab: Features, Pricing & Which Is Better (2026)
A side-by-side comparison of floor Plan ai and Taste Lab — features, pricing, and ideal use cases — to help you decide which AI tool fits your workflow.
floor Plan ai
BuildFloorPlan
Converts sketches, images or PDFs into reviewable first floor plans with technical 2D, 2.5D and 3D-style outputs for fast layout exploration.
Key features
- Input Conversion: Accepts brief text prompts, hand sketches, images, or PDFs and converts them into a reviewable first-floor plan to accelerate initial layout exploration.
- Multi-Format Outputs: Generates technical 2D, 2.5D, and 3D-style representations so users can evaluate plans at different fidelity levels and presentation formats.
- Credit & Subscription Billing: Supports subscription plans and credit-based usage, letting teams pay per-use or via recurring plans to match project needs.
- Multi-Provider Billing: Offers multi-provider billing capabilities to consolidate and manage usage and charges across different AI or service providers.
- Rapid Iteration & Review: Produces review-ready outputs within minutes to support quick iteration, stakeholder feedback, and early-stage design decisions.
- Workflow Integration: Designed for early layout exploration and discussion, enabling users to quickly generate concepts to share with clients, contractors, or collaborators.
- Accepts brief text, sketches, images and PDF inputs to generate floor plans
- Produces Technical 2D, 2.5D and 3D-style floor plan outputs
- Fast generation workflow — reviewable first floor plan in minutes
- Billing model based on subscriptions and credits
- Supports multi-provider billing (mentioned in site metadata)
- Delivered as a web-based application (no on-site software details provided)
- No public API or developer documentation found in the provided content
Best for
- Architectural Concepting: Quickly generate early first-floor layout options from a sketch or brief to explore massing and room arrangements before detailed design.
- Real Estate Listings: Convert existing PDFs or photos of plans into clean, reviewable floor plans for property listings and marketing materials.
- Renovation Planning: Produce initial layout alternatives from a site photo or sketch to evaluate potential renovation schemes and discuss with clients or contractors.
- Interior Design Iteration: Create multiple layout variations rapidly to test furniture arrangements and circulation in 2D/2.5D/3D views during client reviews.
- Client Presentations: Generate reviewable visuals from simple inputs to present conceptual plans to clients for faster decision-making and approvals.
- Cross-Provider Cost Management: Manage subscription and credit usage across providers for teams that use multiple AI or service vendors on projects.
- Rapid creation of reviewable floor plans from client sketches or photos for architects and designers
- Generating floor plan visuals for real-estate listings from images or PDFs
- Preliminary layout drafts for renovation planning and client review
- Converting scanned or hand-drawn plans into digital 2D/2.5D/3D representations for documentation
- Batch or credit-based conversions for volume processing workflows (enterprise/subscription scenarios)
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.