Your Safety Data Sheets (SDS) hold a wealth of compliance-critical information, from chemical compositions and hazard classifications to environmental impact indicators.
But without a way to efficiently extract and standardise that data, most of it remains locked away in static PDF files.
CleanChain’s SDS Parser changes that. By transforming unstructured SDS text into structured, machine-readable data, it enables companies to achieve smarter, faster, and more accurate chemical compliance across global supply chains.
The Problem: Data Trapped in PDFs
Most organisations still rely on manual review to extract information from SDS documents. This approach is time-consuming, error-prone, and inconsistent , especially when SDS are received in multiple formats and languages.
- Key data points like CAS numbers, hazard statements, and concentration limits often vary in how they’re written or formatted.
- Numeric values are buried in sentences (e.g., “Flash Point: <200°F”) instead of clean data fields.
- Outdated SDS versions are easily overlooked, leading to non-compliance or safety oversights.
The result? Compliance teams spend hours sifting through documents when they should be focusing on analysis, risk mitigation, and sustainability goals.
The Solution: Structured Data with CleanChain’s SDS Parser
CleanChain’s SDS Parser automates the extraction and structuring of data from any SDS regardless of language, layout, or source. It doesn’t just read text it understands it.
Here’s what it delivers:
- Standardised data fields for easy integration into your systems (e.g., Product Name, CAS Number, Boiling Point, Hazard Codes).
- Automatic translation of multilingual SDS into English for global consistency.
- Unit conversions for accurate calculations and comparisons.
- Flagging of outdated SDS, ensuring you’re always working with current information.
- Linking multiple SDS to a single product ID, consolidating data and reducing duplication.
This structure enables organisations to use SDS data for compliance tracking, sustainability reporting, and chemical risk management, all from one trusted source.
Why Structured Data Matters
Structured SDS data does more than improve efficiency, it powers smarter decisions. With a clean, comparable data set, organisations can:
- Identify high-risk chemicals and prioritise safer alternatives.
- Automate compliance checks against global standards (like ZDHC MRSL or REACH).
- Streamline audits and regulatory reporting.
- Enhance transparency with suppliers and customers.
By moving from static documents to dynamic data, organisations unlock a new level of visibility and control over their chemical footprint.
The Bottom Line
CleanChain’s SDS Parser transforms chemical compliance from a manual burden into a strategic advantage.
With automation doing the heavy lifting, your team gains accurate, actionable data, ready to support compliance, sustainability, and innovation at scale.
Ready to see the SDS Parser in action? Book a demo
