Upload packaging design files and get an AI 8-point inspection report: each item tells you how to improve.

Last week, a client sent over a design draft, and AI gave him 8 reports within 30 seconds. After reviewing the reports, he said, "These 8 items would take 2 hours for manual proofreading, but AI finished in 30 seconds with almost the same accuracy."

This is the "full check-up" of AI packaging design—magnifying the designer's eye by 8 times. This article explains clearly what these 8 items are and how you can adjust each one.

AI Full-Spectrum Checkup: 8-Point Report

Upload one design file (PNG/JPG/PDF) and AI will deliver an 8-point report within 30 seconds:

Report 1: Structure Recognition

AI looks at: Box type (telescope box / drawer box / book-style box / flip-top box / window box), box body height, greyboard thickness.

Typical output:

"Detected box type: telescope box. Box body height approximately 12 cm; greyboard thickness recommended at 1.5 mm (currently not explicitly marked)."

How you respond: If AI recognition is incorrect (e.g., mistaking a drawer box for a telescope box), the design file's viewing angle is not standard enough — supplement with one front view + one side view.

Report 2: Dimension Annotation

AI looks at: Box length, width, height, inner diameter, outer diameter, tolerance.

Typical output:

"Detected box body 200×120×50 mm. Tolerance recommended at ±0.5 mm. Lid dimensions not annotated (recommended to add)."

How you respond: Supplement lid dimensions + tolerance requirements. Missing dimensions will lead to repeated confirmation with the printer.

Report 3: Color / PANTONE

AI looks at: Primary color, secondary color, PANTONE color codes (if used in the design), and whether the CMYK conversion falls within the printable color gamut.

Typical output:

"Detected 4 PANTONE colors: 185 C / 877 C / 421 C / Black 6 C. Of these, 877 C is outside the standard offset-printing gamut — recommend replacing with 877 C or switching to spot-color printing."

How you respond: Metallic colors (PANTONE 877 is metallic silver) should use spot-color printing for more accurate color; standard 4-color printing will result in color shift.

Report 4: Process Identification

AI looks at: Hot stamping / matte lamination / embossing / spot UV / laser engraving, etc.

Typical output:

"Detected 3 finishing processes: hot-stamped LOGO (plate area 30×10 mm), full-coverage matte lamination, embossed pattern (recommended depth 0.2 mm)."

How you respond: Check whether plate areas are reasonable (minimum 8 mm for hot-stamped LOGO; embossing depth not exceeding 0.3 mm).

Report 5: Text Check

AI looks at: Whether font size is too small, whether fonts have been outlined, whether text stays within the safe zone, and text-to-background contrast.

Typical output:

"Detected 6 text blocks. Smallest subheading font size is 6 pt (recommended 8 pt or above). For brand name, recommend increasing letter-spacing by 5% to improve readability."

How you respond: Increase the subheading font size to 8 pt or above to avoid blurring in print.

Report 6: Risk Warning

AI looks at: Common printing risks (insufficient bleed, registration risk, die-cutting risk).

Typical output:

"Detected 3 risks: (1) Lid artwork is 1.5 mm from the edge (recommended 3 mm); (2) hot-stamped LOGO overlaps with the embossing position (affects finishing); (3) color 421 C on dark background has contrast ratio 2.1:1 (recommended ≥ 4.5:1)."

How you respond: Add bleed / separate the hot stamping and embossing positions / improve contrast.

Report 7: Optimization Suggestions

AI looks at: The overall "room for optimization" in the design — for example, the LOGO can be enlarged, subheadings can be moved down, or colors can be fine-tuned.

Typical output:

"3 optimization suggestions: (1) Increase LOGO area ratio from 8% to 12% for stronger brand recognition; (2) Increase spacing between main headline and LOGO from 8 mm to 12 mm for better breathing room; (3) Change text color from #2C2C2C to #000000, improving contrast by 30%."

How you respond: Adjust the design based on AI suggestions, but the final decision is yours — AI provides reference, not commands.

Report 8: Quotation

AI looks at: Estimate per-unit cost based on the process database + a process combination compatibility score.

Typical output:

"Estimated per-unit cost 17.5 yuan (at the 500-unit tier). Process combination compatibility score 8/10 (recommended: LOGO hot stamping + matte lamination base combination)."

How you respond: Adjust the budget / adjust the process stack based on the quotation.

Can the AI directly fix issues once it finds them?

No. The AI report tells you "where the problem is + how to fix it," but it does not directly modify your design file.

Reasons:

• AI does not understand brand intent (your LOGO may specifically require an 8% ratio)
• AI does not replace the designer's aesthetic judgment
• AI is a "diagnostic doctor," not a "treating doctor"

Actual workflow:

1. AI generates an 8-item report (30 seconds)
2. Manually select items to revise (5 minutes)
3. Designer refines according to AI suggestions (30-60 minutes)
4. AI re-checks (30 seconds)

Total time 1 hour vs. traditional manual proofreading 2-3 hours.

If you want to learn what the AI consultant can do—refer to What is an AI Packaging Consultant?, or directly contact the LeXiang Packaging AI consultant, receive a trial link + 1 free image test within 24 hours.