
LabIris: Reagent Scanner
Snap labels, capture lab data
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Free
About
LabIris is the fastest way for scientists to document reagent information.
Simply take a photo of a reagent container label and LabIris instantly extracts key fields using advanced AI vision. No more copying catalog numbers and lot numbers by hand — LabIris turns your images into clean, accurate, searchable data for your electronic lab notebook.
Lab documentation is mandatory, time-consuming, and error-prone. LabIris eliminates the manual work so you can focus on science.
Key Features
AI Label Reader
Capture a reagent label using your camera or photo library. LabIris automatically reads:
• Reagent Name
• Manufacturer
• Catalog Number
• Lot Number
• Expiration Date
• Quantity / Units
• Additional metadata (QC stamps, batch codes, certifications)
• Full raw text for traceability
Works with curved containers, small bottles, worn labels, or irregular packaging.
Standard Mode
Single-image quick scanning for clear and easy labels.
Advanced Mode (3–5 images)
Ideal for small, curved, or partial labels.
LabIris merges all captured images for the highest accuracy.
Structured Output
All extracted information is automatically organized into a clean table format.
Export to:
• Excel (.xlsx)
• CSV
• JSON
Perfect for ELN systems, LIMS, inventory management, and documentation workflows.
Image History
Save all scans for future reference or auditing.
Private & Secure
Your images are processed securely using industry-standard encryption.
No data is shared or used for training.
You stay in full control of your laboratory data.
Built for Research
LabIris is designed for:
• Academic labs
• Pharma and biotech R&D
• QC laboratories
• Chemical companies
• Regulated environments
• Anyone using ELN/LIMS systems
Save Time. Reduce Errors. Improve Compliance.
Scientists routinely spend hours manually recording reagent information.
LabIris automates the process - with higher accuracy than transcription by hand.
Give your lab the tool it deserves.
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What's New in LabIris
1.0
June 24, 2026







