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🔤 LUMA Proof Reader System
Product — Proof Reader

AI-Powered Proof Reader for Print Quality

Catch print errors before they become costly reprints or recalls — so you never waste time, material, or an entire production run.

Built for prepress teams, quality managers, and brand owners in pharma and FMCG.

LUMA Proof Reader System

The LUMA Proof Reader is YantraVision's AI-driven prepress verification system that compares first-press proof samples against approved PDF master artwork to detect text errors, colour deviations, and layout shifts before full production begins. Operating at 300 dpi resolution, it inspects sheets up to A0 size (1030 mm x 800 mm) in under 4 minutes, preventing costly reprints and regulatory recalls.

The Challenge

Traditional proofing solutions struggle with a trade-off: the more accurate they try to be, the more setup time and false positives they generate. Operators end up spending hours managing false alarms, slowing production and reducing yield — making them unreliable.

The LUMA Advantage

Built for today's high-speed printing environments, the system combines low setup time, reduced false defects, and high defect detection accuracy — all in one system — ensuring high yield and production efficiency that traditional proofing systems fail to achieve.

Designed for the demands of modern packaging, the system works seamlessly across different printing machines and substrates including paper, cartons, metallic foils and films. Particularly valuable in pharmaceuticals and FMCG where accuracy is non-negotiable — helping prevent costly recalls and protecting brand reputation.

Artwork Created
LUMA Proof Reader
verifies proof vs PDF
Approved for Production
LUMA Label Inspection
100% inline inspection
LUMA Proof Reader LUMA Label Inspection
When Before production run After printing (rewinder stage)
Input First-press proof vs PDF master Printed web at slitter/rewinder
Speed ≤ 4 min per sheet Up to 100 m/min
Best For Prepress QA, artwork approval 100% inspection before dispatch
Key Features
🔲 NVZ Area Masking
Gives operators the flexibility to ignore or closely inspect NVZ areas — ensuring focus on critical print areas while reducing unnecessary false detections.
⚙️ Auto Segmentation
Zero manual setup — automatically identifies and selects different inspection regions in the label for precise analysis.
📑 Layer PDF Selection
Multi-layer PDF support — when working with multi-page PDFs, unwanted pages can be deselected allowing inspection of only the relevant layers, ensuring faster and more accurate verification.
🧠 Deep Learning Inspection
Powered by adaptive deep learning algorithms, the system continuously improves by learning from past inspections — minimizing false positives and delivering higher accuracy with every run.
🔁 Flexible Inspection in Repeat
Whether a repeat contains same-ups or mixed-ups, each label can be inspected separately with custom criteria as per your requirements. For example, in an 8-up layout across an A0 sheet (1030 mm × 800 mm), each label is verified independently with its own inspection criteria — all completed in under 4 minutes at 300 dpi.
📊 Comprehensive Reporting
Generate a detailed PDF report for every job, including master vs sample comparison, defect locations to 0.09 mm precision, highlighted defect regions, and operator comments — ideal for quality audits, traceability, and compliance.
🌐 Multi-Language Text Inspection
Verifies text accuracy across diverse languages and scripts.
👤 User Management & Audit Trail
Manage user access and keep a record of all inspection activities for better control, traceability, and compliance.
Specifications
Inspection Speed≤ 4 mins / A0 sheet
Min. Defect Size0.09 mm × 0.09 mm
Resolution300 dpi
Max Paper Size1030 mm × 800 mm
Supported File FormatsPDF, TIFF
SubstratesPaper, Cartons, Metallic Foils and Films
Defect Tolerance Settings
Defect Severity Levels
UI Comparison Mode
Defects DetectedFont and text defects, background defects, missing letters, barcode defects, NVZ area defects, die-cut alignment defects, language mismatch defects, filled and broken characters
What is the LUMA Proof Reader?
The LUMA Proof Reader is YantraVision's AI-driven prepress verification system that compares first-press proof samples against approved PDF or TIFF master artwork. It detects text errors, colour deviations, missing content, and layout shifts before full production begins — preventing costly reprints and regulatory recalls.
How does proof reading differ from label inspection?
Proof reading happens before production — comparing a first-press proof against the approved PDF master to catch artwork errors. Label inspection happens after printing on the rewinder, performing 100% inline inspection of every printed label at production speed. LUMA Proof Reader handles prepress QA; LUMA Label Inspection handles production quality control.
What file formats does LUMA Proof Reader support?
LUMA Proof Reader supports PDF and TIFF reference formats. It handles multi-layer PDFs with the ability to select or deselect specific layers for inspection, allowing verification of only the relevant print layers.
How long does a proof inspection take?
Under 4 minutes per A0-size sheet (1030 mm x 800 mm) at 300 dpi resolution, detecting defects as small as 0.09 mm x 0.09 mm. The auto-segmentation feature eliminates manual setup, so the system is ready to inspect immediately after loading the master artwork.
What defects does the Proof Reader detect?
The Proof Reader detects font and text defects, background defects, missing letters, barcode defects, NVZ (non-visible zone) area defects, die-cut alignment defects, language mismatch errors, and filled or broken characters. It supports multi-language text inspection across diverse scripts.
Can it handle multi-up label layouts?
Yes. Whether a repeat contains identical labels or mixed-ups with different variable data, each label is inspected independently with its own inspection criteria. For example, in an 8-up layout, each label is verified separately against its specific master.

Ensure flawless print quality before full production begins. Talk to the YantraVision team about integrating the Proof Reader into your workflow.

Last updated: March 2026