Bean Recipe Adapt vs sizeless: Features, Pricing & Which Is Better (2026)
A side-by-side comparison of Bean Recipe Adapt and sizeless — features, pricing, and ideal use cases — to help you decide which AI tool fits your workflow.
Bean Recipe Adapt
Bean
Personal kitchen assistant that discovers, adapts, and helps cook recipes tailored to user preferences and ingredients.
Key features
- Recipe Adaptation: Adjusts ingredient quantities and cooking steps to match target serving sizes while maintaining proportions and timing.
- Ingredient Substitution: Suggests pantry-friendly or diet-compliant substitutes for missing or restricted ingredients, including vegan and allergy-safe alternatives.
- Dietary Customization: Transforms recipes to accommodate dietary preferences or restrictions (e.g., vegetarian, gluten-free, dairy-free) and highlights changes made.
- Step-by-Step Guidance: Generates clear, adjusted cooking directions that reflect substituted ingredients and scaled quantities to reduce user confusion.
- Shopping List Generation: Compiles an itemized shopping list from adapted recipes, grouping items and indicating quantities required for the adjusted servings.
- Waste Reduction Suggestions: Recommends ways to repurpose leftover ingredients or scale recipes to minimize waste and optimize ingredient usage.
- Recipe discovery and browsing
- Cooking assistance and guidance
- Meal suggestion functionality
Best for
- Adapting a 6-person casserole recipe down to a 2-person portion while recalculating ingredient amounts and oven times.
- Converting a recipe containing dairy into a dairy-free version with suggested plant-based substitutes and adjusted texture instructions.
- Generating a shopping list and step-by-step plan for a weeknight meal using only items detected in the user's pantry and a few suggested purchases.
- Modifying dessert recipes to accommodate common allergies (nuts, gluten) and providing safe ingredient swaps and preparation notes.
- Scaling up a dinner party menu across multiple dishes while ensuring ingredient quantities align and combined shopping lists are produced.
- Providing quick substitution options when a user is missing a specific ingredient, including notes on flavor and texture differences.
- Discover new recipes and meal ideas
- Follow step-by-step cooking guidance
- Plan meals and explore dishes
sizeless
sizeless
Turns a smartphone video of an open trench into a centimetre-accurate 3D point cloud, CAD as-built plan and GIS-ready digital twin of buried utilities.
Key features
- Smartphone capture: Field crews record an open trench with a standard iPhone Pro — no specialist scanning hardware and no separate surveying appointment
- Centimetre-accurate point clouds: Reconstruction algorithms developed at ETH Zurich build a high-resolution 3D point cloud of the excavation from the video alone
- Standards-compliant CAD output: Generates as-built plans in DWG and DXF, with couplings and pipe runs identified and measurements simplified
- 3D digital twin and GIS export: Produces a model of the pipe route including building entries that drops into existing GIS systems
- Works without GPS: Captures basement sections and building entry points where GNSS-based surveying fails
- Immediate backfilling: Because capture takes minutes, trenches close right after filming instead of waiting on a survey crew
- Documentation in about 72 hours: Complete records arrive weeks earlier than conventional surveying, enabling prompt connection billing
- Third-party utility capture: Records crossing utilities and as-laid geometry as unbroken 3D evidence, replacing hand sketches
Best for
- A utility network operator documenting residential service connections without booking a surveyor for every site
- A contractor closing a trench the same day instead of leaving it open pending a survey appointment
- Capturing a building entry point in a basement where GPS-based surveying cannot get a fix
- A district heating project producing as-built DWG plans for regulatory sign-off
- Spotting a laying error in the 3D point cloud before backfilling, while the fix is still cheap
- Feeding as-built pipe geometry into a GIS system for long-term network maintenance planning