Quality & Compliance
Safety Data Sheet (SDS)
Extract hazard, composition and handling data from 16-section safety data sheets for EHS systems.
The Challenge
SDS follow the GHS 16-section structure but vary by supplier and language, mixing H/P statements, CAS numbers, exposure limits and pictograms. Extracting consistent hazard data across thousands of substance sheets is laborious.
Industries
Chemicals, manufacturing, pharma, energy, facilities, laboratories.
Who Uses It
EHS / HSE officers, hazardous-materials managers, compliance.
BASE Schema
Product / substance name — Text
Supplier / manufacturer — Text
CAS / EC numbers — Table
Hazard (H) statements — Table
Precautionary (P) statements — Table
GHS pictograms — Table
Exposure limits — Table
Storage / handling class — Enumeration (customer-defined storage classes)
SDS revision date — Date
Recommended pipeline settings — Context (internal storage and handling class rules)
OPTIONAL Validation
CAS number format checks; H/P statement codes validated against GHS catalogue; revision-date currency; pictogram-hazard consistency.
Frequently ASked Questions
How can AI extract data from safety data sheets?
It parses the 16 GHS sections, pulling CAS numbers, H/P statements and exposure limits into structured records that populate the hazardous-materials register.
Can SDS extraction keep a hazardous-materials register up to date?
Yes — revision dates are tracked so superseded sheets are flagged and the register reflects current hazard data.
Why automate safety data sheet processing?
It cuts the manual effort of maintaining substance registers, improves EHS compliance, and makes hazard data searchable across the organisation.
See more use cases.
Get inspired by further sample data schemas.