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ScentHash
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About ScentHash
ScentHash provides a digital representation layer for scent, enabling users to capture, identify, compare, share, and connect smells with software and compatible devices. The system encodes scents into structured recipes composed of forty base notes across top, heart, and base layers, totaling 100%. Each scent receives a registered ID, a SHA-256 fingerprint, and a timestamp, creating a traceable digital identity. Users can compose scents by mixing base notes, register them in a library, and explore similarities through fingerprint comparisons. The platform includes a live encoder that turns scent descriptions into data, a similarity engine for finding related scents, and a growing library of ready-made recipes. While the current implementation focuses on composition and registration, future developments include an open API, SDKs, and hardware integration for physical scent output. The technology is positioned as an experimental draft, with deeper layers proposed as chemistry and devices advance.
Key features
- Compose scents from forty base notes
- Register scents with SHA-256 fingerprints and IDs
- Compare scents via similarity engine
- Browse and search a public scent library
- Encode scent descriptions into digital recipes
- Explore evaporation profiles and layered compositions
- Generate cryptographic hashes for scent identities
- Store and retrieve scents as structured data
Use cases
- Creating and registering custom scent recipes
- Comparing and discovering similar scents in a library
- Exploring and browsing a collection of ready-made scents
Pros
- Encodes scents into structured, reproducible digital recipes
- Enables comparison and similarity search via SHA-256 fingerprints
- Provides a traceable digital identity for each scent
- Supports composition from forty base notes across three layers
- Includes a live encoder and growing public library
Cons
- No live API endpoint currently available
- Hardware integration remains conceptual and not yet realized
- Limited to forty base notes in the experimental v0.1 model
- Deeper representation layers are proposed but not yet implemented
Frequently asked questions about ScentHash
What is ScentHash?
ScentHash is a digital representation layer for scent that encodes smells into structured recipes composed of forty base notes across top, heart, and base layers. Each scent receives a registered ID, a SHA-256 fingerprint, and a timestamp, enabling traceable digital identities.
Who can use ScentHash?
ScentHash is designed for three user groups: general users who can explore, compare, and register scents; developers who can build on the evolving encoding standard and API; and hardware engineers working on scent output devices.
How does the scent encoding process work?
Users compose a scent by mixing base notes to total 100%, then register it to receive a unique ID, SHA-256 fingerprint, and timestamp. The live encoder converts scent descriptions into data using an AI model that maps them to base-note recipes.
Can I compare scents using ScentHash?
Yes, the platform includes a similarity engine that ranks scents by how closely their fingerprint representations match, allowing users to find scents with similar olfactory profiles.
Does ScentHash support hardware integration?
ScentHash proposes a concept device that holds the forty base notes and doses them by recipe, but hardware integration is still in development and not yet commercially available.
Is ScentHash a ratified standard?
No, ScentHash is an experimental draft (v0.1) and not a ratified standard. The 40-note model is a proposed representation layer that may evolve as chemistry and devices advance.
