Intelligent Color Card Detection
Auto-detects Macbeth ColorChecker 24-patch coordinates and fiducial markers in milliseconds.
Capture, calibrate, and collaborate on color-critical work with studio-grade accuracy in a pocket app.
Available for iOS & Android
Compare master reference swatches with sample production runs in real time. Experience how Colorium Lab quantifies perceptual color difference (CIEDE2000 ΔE₀₀) with laboratory-grade accuracy.
Brand Amber Master
#FFAD4D
Print Run Batch 1
#FFA038
Perceptual Color Difference
ΔL* (Lightness)
-3.1
Δa* (Green/Red)
+5.88
Δb* (Blue/Yellow)
+5.64
Target CIELAB (L*, a*, b*):
L: 77.09 | a: 21.68 | b: 59.64
Sample CIELAB (L*, a*, b*):
L: 73.99 | a: 27.56 | b: 65.28
From automated Macbeth 24-patch target detection to ISO/CIE CIEDE2000 ΔE₀₀ verification — every feature is built to eliminate subjective color guesswork.
Auto-detects Macbeth ColorChecker 24-patch coordinates and fiducial markers in milliseconds.
Calculates CIELAB (L*a*b*), sRGB, CIE XYZ, dominant wavelength, and ΔE₀₀ tolerances.
Computes 3x3 color correction matrices (CCM) and channel gain sliders for stable lighting.
Interactive animated reticles guide optimal focus distance, lighting uniformity, and zero glare.
Organize swatches into tagged projects and share color tolerance reports with team members.
Generate QA-certified PDF certificates, CSV spectrophotometric tables, and ASE color swatches.
Point and polygon lasso selection tools compute statistical averages and variance filters.
Telemetry and on-device performance diagnostics ensure high stability across production OS builds.
From chart capture to ISO-standard ΔE reports in five streamlined steps.
Choose a stable, even lighting setup, place the reference chart and sample on a flat surface, and avoid glare or shadows.
Fill the frame with the color checker; the app auto-detects the 24 patches and shows a progress indicator during detection.
Compute white‑balance gains and a color correction profile tailored to your device and lighting; store the profile locally.
Review patch hits and ΔE summary; if any patches exceed tolerance, re‑frame or re‑capture to improve the fit.
Lock exposure/focus, then capture a still or use the live stream to acquire a clean image of your sample.
Pick or refine the region of interest for analysis; handles orientation and mapping without uploading images to the cloud.
Calculate sRGB/linear/XYZ/Lab values, chromaticity (x,y), ΔE00 vs reference, dominant wavelength, and purity on‑device.
Name your analysis, add tags/notes, and save locally for offline access and future comparisons.
Generate a PDF summary and share via the system share sheet; optional color‑name lookup enhances readability.
If lighting or environment changes, run calibration again and manage multiple profiles to keep results consistent.
A reliable 5-step scientific protocol ensuring ΔE repeatability under any lighting condition.
Set uniform, diffuse lighting (D65 daylight or continuous 5000K). Avoid direct specular glare. Place the 24-patch Macbeth ColorChecker alongside the test specimen.
Frame the ColorChecker with your mobile camera. The CV engine auto-segments all 24 patches and computes a 3x3 Color Correction Matrix with channel white-balance gains.
Inspect the calculated per-patch CIEDE2000 ΔE₀₀ metrics. Colorium confirms if maximum error is within tolerance (ΔE < 1.0 golden pass).
Lock camera sensor exposure and focus. Tap or lasso the target region of interest (ROI) to apply statistical outlier rejection and Gaussian noise smoothing.
Read real-time CIELAB (L*a*b*), CIE XYZ, sRGB, dominant wavelength, and chromaticity (x, y). Export certified PDF summaries or CSV swatch tables.
From luxury packaging approvals to catalog product shoots — guarantee strict color consistency across every creative touchpoint.
Verify digital Pantone formulas against real-world offset and flexo print runs before high-volume press approval.
Ensure accurate e-commerce hero shots across multiple studio lighting setups and cameras to drastically reduce return rates.
Validate wall paint swatches, textile upholstery dye lots, and architectural LED correlated color temperatures on-site.
Teach color theory, spectral matching, and CIELAB mathematics with hands-on mobile instrumentation without expensive bench gear.
Discover why art directors, prepress managers, and QA specialists rely on Colorium Lab for reliable ΔE targets.
Clear, authoritative answers regarding colorimetry accuracy, device calibration, security, and supported standards.
Colorium Lab runs on modern iOS and Android smartphones and tablets. We target current OS releases on both platforms.
Core capture and color analysis work offline. Internet is needed for sign-in (Google/Apple), optional color name lookups, and diagnostics (analytics/crash/performance). There is no automatic cloud sync yet.
No, images are processed on-device and stored locally by default. If you export/share a PDF report, a temporary file is created for sharing. We never send your raw images to third-party services.
If you sign in: email/display name/provider info via Firebase Auth. For calibration/diagnostics: device model/OS/hardware info, and non-GPS EXIF fields (e.g., exposure, ISO) from selected images. We also collect anonymized analytics, crash, and performance data via Firebase. See the Privacy Policy for details.
Camera (capture for analysis), Photos/Media/Library (select/save images), Storage on Android (READ_MEDIA_IMAGES/READ_EXTERNAL_STORAGE for file access), and Network (sign-in, analytics, color name lookups). A microphone usage string exists on iOS, but current features do not record audio.
No. Colorium Lab is for research, education, and general informational use. It is not intended for diagnosis or clinical decision-making.
For best accuracy, use the built-in 5-step calibration with a Macbeth ColorChecker (or equivalent) under consistent lighting. Recalibrate when lighting changes.
Yes. You can generate and share a PDF calibration/analysis report using the system share sheet. Temporary files are created locally for sharing and can be removed.
Yes, guest mode works for capture and analysis with some gated features. Signing in with Google or Apple may unlock additional features now or in future updates.
Local data (samples, projects, calibration profiles) is stored on-device (Hive/shared preferences) within the OS sandbox and protected by device security. Network traffic (auth/analytics/lookups) uses TLS. We do not claim end‑to‑end encryption of your local content.
Firebase (Auth, Analytics, Crashlytics, Performance, App Check), Google Sign‑In, Sign in with Apple, and the color.pizza API for non-personal color name lookups.
Delete local samples/projects/calibration profiles from within the app or by uninstalling the app. For account deletion (Firebase Auth), use in‑app options or you can delete your data using the following legal link Delete Account.
Eliminate costly print misalignments and subjective color debates. Experience studio-grade ΔE00 analysis on iOS & Android.