How to Extract Safety Data Sheet (SDS) Data for Every SKU

A Safety Data Sheet contains exactly the fields a compliance team needs to answer a customer or auditor question fast — hazard classification, SVHC content, handling requirements, flash point. It’s also usually a PDF, one per product, sitting in a folder rather than in any system that can be queried. When a customer asks “does this product contain any SVHC substances above the threshold,” the honest answer at most distributors is: someone has to go find and read the sheet.

Why this stays manual longer than it should

SDS documents are semi-structured — the same sections appear in roughly the same order across products and manufacturers, but formatting, section numbering, and terminology vary enough that a simple template-based extraction breaks constantly. That inconsistency is usually the reason teams give up on structuring this data at scale and default to “look it up when asked.”

The cost of that default is compounding, not one-time: every new SKU adds another SDS nobody has structured, and every compliance question repeats the manual lookup from scratch.

What structured SDS extraction actually needs

Extraction that handles document variation, not a single fixed template. Different manufacturers format their SDS differently even for the same regulatory sections — the extraction has to identify the right section by meaning (hazard identification, composition, handling), not by assuming a fixed page or field position.

Every extracted value traceable to its source. A structured SVHC percentage is only useful if it can be defended — which document, which page, when it was issued. This is provenance applied to compliance data specifically, and it’s non-negotiable for anything customer- or auditor-facing. See also the SVHC candidate list for what’s typically being extracted.

Flagging low-confidence extractions for review, not guessing. SDS language is often dense and inconsistent enough that some fields will be genuinely ambiguous. Those should route to a person, not get silently filled with a best-effort guess dressed up as a fact — the same discipline covered in enrichment without hallucination.

What it looks like once done

Instead of “someone finds the PDF and reads it,” a compliance question becomes a query against structured fields — with a link back to the source document for anyone who wants to verify it. New SDS documents get processed as they arrive, so the backlog doesn’t grow with every new SKU.

Sitting on a folder of unstructured SDS documents? Book a 30-minute call and bring a few examples.

Related reading

FAQ

Why is Safety Data Sheet data usually not structured in a catalog? +

SDS documents are semi-structured PDFs with formatting that varies by manufacturer, which breaks simple template-based extraction and leads most teams to leave the data as unsearchable documents, looked up manually when a question arises.

How do you extract SDS data reliably at scale? +

Extract by identifying sections by meaning rather than fixed position, track the source document and page for every extracted value, and route low-confidence extractions to human review instead of guessing.