Quality & Compliance
Test / Inspection Protocol
Extract measured values, tolerances and pass/fail results from quality and inspection protocols.
The Challenge
Protocols are dense measurement tables with nominal values, tolerances and actuals, often handwritten or instrument-printed, with characteristic-specific units. Linking each measured characteristic to its spec and computing conformance is the core challenge.
Industries
Manufacturing, automotive, machinery, medtech, electronics.
Who Uses It
Quality assurance, incoming-goods inspection, production engineers.
BASE Schema
Part / product ID — Text
Order / batch number — Text
Characteristics (nominal, tolerance, actual, unit) — Table
Pass/fail per characteristic — Boolean
Test method/equipment — Text
Inspector — Text
Test date — Date
Overall result — Enumeration (pass, fail, conditional)
Recommended pipeline settings — High precision mode, Checkbox detection, Context (characteristic → drawing spec mapping, known instrument quirks)
OPTIONAL Validation
Each actual checked within tolerance; overall pass/fail recomputed; out-of-spec characteristics flagged; completeness vs. inspection plan.
Frequently ASked Questions
How can AI extract data from test and inspection protocols?
It reads each measured characteristic with its nominal, tolerance and actual value — even handwritten — and recomputes conformance so QA only reviews out-of-spec items.
Can document AI digitise supplier quality certificates at goods-in?
Yes — measured values and pass/fail results are structured at incoming inspection and matched to the part’s specification automatically.
Why automate test-protocol digitisation?
It builds a searchable quality history per part and batch, speeds incoming inspection, and supports traceability and audits.
See more use cases.
Get inspired by further sample data schemas.