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OCR Workflow example

Paper maintenance logs became searchable operational insight.

MH
Marcus Hill
Plant Operations Analyst · Riverton Components - 140 people · Detroit, MI, USA
60%
less manual log transcription

The before

Marcus received scanned maintenance logs from several lines. The information mattered, but handwriting and inconsistent formats made trend analysis slow.

The turning point

MultipleChat uses OCR to extract the logs, then another model groups issues by equipment, line, date, and symptom. Marcus compares summaries before sending anything to operations leaders.

"OCR gave us the data. Comparing summaries helped us trust what we were seeing."

— Marcus Hill, Plant Operations Analyst

The after

Recurring issues are easier to spot, and the team spends less time retyping logs. Human review remains important, especially when handwriting is unclear.

What they used

OCR workflow

Extract text from scanned and handwritten logs.

Issue grouping

Group recurring issues by line and equipment.

Compare mode

Review multiple summaries before reporting trends.

OCR Maintenance logs Operations

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