GPT-5.4 Nano

  • Text to Text
  • Image to Text

Request

Inputs
Core
Messages
User
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On
Municipal Bench Plaque Audit

Analyze the uploaded park image. Identify every bench plaque you can find. For each plaque, provide: 1) plaque index, 2) approximate location in the image, 3) transcribed text, 4) confidence level as high/medium/low, and 5) a short normalization of the dedication name if present. Then add a final section listing plaques that may require a manual recheck because of glare, angle, distance, or occlusion.

openai:[email protected]
Cost: $0.00174(approx. 574 runs for $1)
Warehouse Invoice Triage Queue

Extract all visible invoice data from this image and output strict JSON with the schema described in the system instructions. Prioritize accuracy, preserve formatting for invoice numbers and purchase orders, and include every visible document even if partial.

openai:[email protected]
Cost: $0.00133(approx. 751 runs for $1)
Foundry Noticeboard Error Scan

Review this noticeboard image from a metalworking floor. Extract the readable information, identify any contradictions between printed sheets and handwritten edits, flag overdue inspections, and summarize the top operational risks. Keep the answer structured under the six requested headings.

openai:[email protected]
Cost: $0.00186(approx. 537 runs for $1)
Freight Label Exception Sorting

Analyze the shipping label in this image and provide: 1) recipient name, 2) full destination address, 3) tracking number, 4) service level, 5) package weight, 6) any handwritten or sticker-based special handling notes, 7) whether the shipment should be flagged for manual review. Then add a short reason for the review decision. Format the answer as compact field-value lines.

openai:[email protected]
Cost: $0.00149(approx. 671 runs for $1)