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.