Process the diagram
Partgrid detects number labels and proposes matches against the uploaded part list.
Human control where it matters
Turn AI output into dependable parts diagrams
Review detected labels, confirm part matches and correct exceptions in one focused workspace. Partgrid keeps automation fast while giving your team control before a diagram goes live.
Review only the exceptions
Correct labels and part matches
Publish with confidence
Review workspace
Hydraulic pump assembly
Diagram
121314
Review queue
12
Seal ring 42 mm
Matched13
Bearing housing
Review14
Drive shaft
MatchedSelected label 13
Detected number
13
Matched part
Bearing housing
Match confidence68%
Automation without blind trust
AI handles the repetitive work. Your team handles the edge cases.
Exploded views vary in quality, layout and labeling. Instead of forcing every diagram through a manual process, Partgrid highlights uncertain detections and matches so reviewers can focus their time where it adds value.
78%
42
Matched
3
Needs review
1
Confirm correction
A controlled review workflow
From uploaded diagram to approved interactive schematic
Every step keeps the diagram and part data together, so corrections happen in context rather than across disconnected files.
Review flagged results
Low-confidence or ambiguous results are surfaced in a clear queue.
Correct in context
Select a label, adjust its number or choose the right part while viewing the diagram.
Approve and publish
Confirm the reviewed schematic and make it available in your collection or embed.
Built for real catalog operations
Everything reviewers need, without leaving the schematic
The review experience is designed for teams processing many diagrams, not for one-off annotation work.
Visual label selection
Click directly in the diagram to inspect and correct a detected number.
Part search and matching
Find the correct SKU or part number without switching back to spreadsheets.
Exception-first queues
Prioritize uncertain detections instead of checking every successful match.
Immediate validation
See whether numbers are duplicated, missing or linked to unexpected part data.
Repeatable approvals
Use a consistent review step before diagrams are distributed to customers or dealers.
Connected publishing
Approved results flow into collections, localized embeds and commerce experiences.
Quality at scale
Keep accuracy visible and ownership clear
Manual review is not a fallback. It is the quality layer that lets teams scale automation responsibly across mixed source material.
Focus reviewers on low-confidence outcomes
Keep corrections linked to the original diagram and part list
Reduce spreadsheet handoffs and version confusion
Create a repeatable checkpoint before publishing
See the workflow with your own material
Bring one exploded view and its part list
We will show how Partgrid detects labels, proposes matches and lets your team review the result before publication.