Use Case: Synthetic Receipt Sandbox。主题:Document Intelligence、Field Extraction、Ocr Training、Receipt QA、Synthetic Data、Synthetic Receipt Sandbox、Use Case、Void Watermark。

如何复用

可参考这个示例来设计 Document Intelligence、Field Extraction、Ocr Training、Receipt QA 工作流、提示词结构、视觉约束和结果检查方式。

了解 Drill 打开 VibeArt

完整提示词

Create one polished public-gallery concept image titled exactly "Use Case: Synthetic Receipt Sandbox".

Use case: productivity-visual / document-intelligence / OCR training workflow.
Asset type: portrait A4 document QA proof sheet for a GPT Image 2 gallery.

Primary request: Show GPT Image 2 being used safely to generate fictional synthetic receipt samples for OCR and field-extraction testing. The artifact must be obviously non-operational and training-only: the receipt preview must carry large diagonal text "VOID" and "TRAINING SAMPLE" plus a footer "NOT FOR REIMBURSEMENT". Do not create a usable receipt. Do not show a real merchant, real address, real card number, barcode, QR code, logo, or tax/legal validity language.

Composition: one portrait proof sheet on warm white background. Center-left shows a single fictional receipt mock sample named "North Pier Test Shop" with simple fake items such as "Paper Clip Set", "Desk Plant Tag", "Blue Folder", and toy totals. Over the receipt, place transparent red diagonal "VOID" and top stamp "TRAINING SAMPLE". Around it, show OCR field boxes with clear labels: "merchant", "date", "line items", "tax", "total", "crop edge". Right rail shows a safe workflow ladder: "Generate", "Watermark", "Extract", "Compare", "Archive". Bottom strip shows QA chips: "fictional data", "no barcode", "field boxes", "low confidence", "review ready".

Visual style: refined document-intelligence lab graphic, flat scanner-proof aesthetic, crisp typography, subtle paper grain, blue OCR boxes, red safety watermark, graphite notes, compact but legible text. It should look like an internal QA artifact for testing extraction, not a real financial document, not a menu, not a chart dashboard, not a physical desk photo, not a 2x3 board.

Safety and originality constraints: fictional sample only; no real brands, no logos, no real merchant/address/payment details, no barcode or QR code, no instructions for fraud, no legal/tax claims, no public figures, no politics/elections/parties, no harmful instructions, no adult/explicit content, no gore, no celebrity likeness, no copyrighted characters, no living-artist style imitation. Do not copy any external prompt, receipt image, dataset sample, product UI, article image, source image, artwork, layout, or protected style.

来源与致谢

6 条来源

来源说明: Original fictional synthetic-receipt OCR workflow generated locally after external source sweep. Sources informed abstract receipt prompt trends, safe document-generation controls, OCR pipeline fields, fraud-risk review patterns, and receipt OCR/synthetic-data evaluation context only; no external prompt text, image, receipt, dataset sample, product UI, brand, layout, artwork, protected style, or source image was reused.

Authentic Receipt Makers

PromptBase / @shawshank2

community_gallery / receipt_prompt_trend_scan / fraud_risk_scan

访问日期 2026-04-27 · commercial prompt marketplace; no prompt purchased; no verbatim prompt/image reuse

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Free AI Receipt Generator

Pixa / Pixelcut

product_case / document_generation_workflow / text_field_pattern

访问日期 2026-04-27 · unspecified; no verbatim prompt/image reuse

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AI-Powered Receipt Scanning: The Complete Guide for 2026

ReceiptSync Team

tutorial / OCR_pipeline_pattern / field_extraction_pattern

访问日期 2026-04-27 · unspecified; no verbatim prompt/image reuse

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Exposing AI Generated Fake Receipts in Finance With Pixel Level Evidence

Team VAARHAFT

fraud_risk_context / pixel_forensics_pattern / human_review_pattern

访问日期 2026-04-27 · unspecified; no verbatim prompt/image reuse

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ICDAR2019's Scanned Receipts OCR and Information Extraction (SROIE)

jsdnrs / Hugging Face; original ICDAR2019 SROIE authors cited on page

benchmark_dataset / receipt_ocr_field_pattern / evaluation_context

访问日期 2026-04-27 · CC BY 4.0

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Nano Receipts Dataset

34data / Hugging Face

synthetic_dataset / document_variation_pattern / safety_contrast

访问日期 2026-04-27 · MIT

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