Frequently Asked Questions

LogoAnalyzer.com is a scientific logo analysis platform that combines real computer vision measurements with perception science research. First, our system computes objective metrics via computer vision: color extraction with WCAG contrast ratios, bilateral symmetry, Shannon entropy complexity, edge density, and golden ratio analysis. In parallel, we run colorblind simulation (protanopia, deuteranopia, tritanopia, achromatopsia), image quality assessment (NIQE, BRISQUE, MUSIQ), color harmony analysis, and CLIP zero-shot semantic classification. These measured data points then feed into AI interpretation grounded in published perception and psychology research — engagement modeling, emotional response predictions, eye tracking, and cognitive mapping. The measurements are real; the interpretation is science-based.

Most tools give you AI-generated scores with no underlying measurements. We start differently: real computer vision measures your logo's actual symmetry, complexity, color contrast ratios, and proportions. We also run colorblind accessibility simulation, no-reference image quality assessment, mathematical color harmony scoring, and CLIP zero-shot classification for industry and style detection. These objective data points then feed into research-informed AI that produces perception response models, emotional predictions, eye tracking simulations, and cognitive profiles. Every score is anchored in measurable visual properties — not AI guessing what 'looks nice.'

Upload your logo and optionally specify your industry and brand context. Your logo enters a multi-layer pipeline: Layer 1 runs real computer vision measurements — color palette extraction, WCAG contrast ratios, symmetry analysis, Shannon entropy complexity, edge density, golden ratio proximity. In parallel, Layer 2 runs objective third-party tools — colorblind simulation under 4 vision conditions, no-reference image quality assessment (NIQE, BRISQUE, MUSIQ), CLIP zero-shot semantic classification, and after colors are extracted, mathematical color harmony analysis. Layer 3 feeds all measured data into AI interpretation informed by cognitive neuroscience, Gestalt psychology, color science, and cross-cultural semiotics — including Aaker's Brand Personality Framework (5 dimensions), Palmer & Schloss color preference research (37 BCP colors), and Kobayashi's Color Image Scale (180 image words). The result is 550+ metrics across 17 scientific dimensions.

Personas are not generic profiles — they are scientifically constructed audience simulations grounded in demographic and psychographic research. Each persona represents a distinct viewer type with specific age, gender, lifestyle, economic background, and digital behavior patterns. Every persona independently evaluates your logo and produces its own data: emotional arousal intensity and valence, happiness/anxiety/neutrality breakdown, attention capture and retention scores, engagement intensity indicators, brand familiarity ratings, and sentiment analysis. This reveals how a 25-year-old tech professional responds differently to your logo than a 55-year-old corporate executive — with structured, comparable data for each.

Each analysis produces 550+ individually scored metrics across 17 scientific dimensions: Design Quality & Composition, Psychology & Emotion, Perception & Cognitive Response, Eye Tracking & Visual Attention, Cognition & Memory, Trust & Market Positioning, Color Science, Typography, Cultural & Global Readiness, Design Attributes & Versatility, Colorblind Accessibility (protanopia/deuteranopia/tritanopia/achromatopsia simulation with effectiveness scores and problematic color pairs), Image Quality Assessment (NIQE, BRISQUE, MUSIQ composite scoring), Color Harmony Analysis (harmony type detection, color wheel distribution, CSS4 naming, improvement suggestions), CLIP Semantic Classification (industry classification, design attribute scores, brand archetype confidence, style tag detection), Aaker Brand Personality (5-dimension radar: Sincerity, Excitement, Competence, Sophistication, Ruggedness), Palmer-Schloss Color Preference (age/gender-specific data from 37 BCP colors), Kobayashi Color Image Scale (180 image words mapped to warm-cool/soft-hard axes), and Background Versatility Preview (logo rendered on 6 backgrounds).

When your logo demonstrates strong performance across our scientific dimensions — high memory encoding strength, positive emotional valence, effective attention capture, strong trust signals, and balanced cognitive load — it earns a LogoAnalyzer certification. This is a verifiable certificate with a unique QR code, a tier-based grade reflecting overall scientific performance, an embeddable badge, and a shareable verification link. It signals to clients and stakeholders that your logo has been scientifically validated for cognitive impact and brand effectiveness. Enterprise users receive white-label certificates with custom branding.

Yes. Our Logo Comparison tool runs the full scientific analysis pipeline on 2 or 3 logos simultaneously, then produces a side-by-side metric-level comparison. You can see exactly how each logo performs across perception response patterns, emotional response profiles, attention capture efficiency, memory encoding strength, and market positioning scores. This is ideal for A/B testing redesigns, benchmarking against competitors, or evaluating multiple concepts — with scientific data rather than subjective preference.

When you select your industry, your logo is benchmarked against 10,000+ real brand logos from 20 industry sectors. Using CLIP embeddings (512-dimensional vectors from OpenAI's vision-language model), we compute cosine similarity between your logo and industry leaders. You receive percentile rankings across 50 brand personality values, a brand alignment radar chart, and a LogoGalaxy scatter plot showing your logo's position among competitors in an interactive 2D projection. This reveals whether your logo fits industry conventions or stands out as distinctive.

Brand alignment uses CLIP to score your logo against 50 Aaker-extended brand personality values — from 'innovative' and 'trustworthy' to 'luxurious' and 'approachable.' The interactive radar chart visualizes these scores across 5 major personality dimensions (Sincerity, Excitement, Competence, Sophistication, Ruggedness) with 10 sub-values each. You can compare your scores against industry averages to identify personality gaps and alignment opportunities.

Shape psychology uses Zernike polynomial moments, Hu invariant moments, and contour analysis to extract geometric personality traits from your logo. Angular, sharp shapes signal strength, precision, and authority. Curved, rounded shapes convey friendliness, warmth, and approachability. Our analysis quantifies these geometric features mathematically and maps them to brand personality implications, complementing color and semantic analysis with geometry-based insights.

Sign up for free — no credit card required. You get 1 free analysis with 1 persona. Upload your logo on the home page, optionally add your industry and brand description for deeper contextual analysis, and click 'Start Analysis'. Within moments, you'll receive a full scientific report with perception response models, emotional response data, eye tracking predictions, and scored metrics across all 17 scientific dimensions.

We accept PNG, JPG, GIF, and WebP formats. SVG files are not currently supported as our AI vision models require rasterized images. For the most accurate analysis — especially for color science, contrast ratios, and fine geometric structure evaluation — we recommend uploading a high-resolution PNG or JPG on a clean background. Our visual decomposition engine extracts color palettes, typography, geometric structures, and spatial relationships regardless of format, but higher quality input produces more precise analysis predictions.

Selecting your industry activates competitive benchmarking against established brands in your sector. Your logo's performance scores — trust signals, purchase intent, premium perception, differentiation index — are evaluated relative to industry standards and top competitors. We support 100+ categories from Technology & SaaS to Healthcare, Finance, Retail, and more. This contextualizes your results: a high-energy, vibrant logo might score well for a sports brand but poorly for a financial institution. Industry context makes the science actionable.

Filters let you configure the scientific audience simulation by specifying target demographics: age group, gender, economic status, education level, lifestyle, and digital habits. This directly shapes which personas are generated and how they evaluate your logo. A logo targeting Gen Z digital natives will receive fundamentally different perception response profiles than one targeting affluent retirees — different emotional triggers, attention patterns, trust signals, and cultural associations. Filters ensure the analysis data matches your actual market.

Yes. Every new user gets 1 free analysis with 1 persona — no credit card required. You'll receive the full analysis pipeline output: perception response models, emotional response scores, eye tracking predictions, and all 550+ metrics. After seeing your results, you can unlock the full multi-persona report for $5.99 or purchase a pack or subscription for more analyses.

We offer flexible pricing to match different needs: Subscriptions (Starter at $19.99/mo with 5 analyses and 3 personas each, Professional at $49.99/mo with 20 analyses and 5 personas each), Pay-As-You-Go Packs (5-Pack for $24.99, 10-Pack for $44.99), a Single Unlock at $5.99 to upgrade your free analysis to 3 personas with all features, and annual plans with 17% savings. Enterprise plans with custom volume, API access, and white-label certificates are also available.

Packs are one-time purchases that never expire — buy them and run analyses whenever you need them. Subscriptions provide a monthly allowance that resets each billing cycle, at a lower per-analysis cost. Both deliver the identical analysis pipeline: same perception response analysis, same emotional predictions, same eye tracking data, same 550+ metrics. Subscriptions work best for agencies and teams doing ongoing brand work; packs are ideal for one-off projects or occasional use.

Yes. After your free analysis completes, you'll see an 'Unlock Full Report' option for $5.99. This upgrades your analysis from 1 persona to 3 personas — giving you multi-perspective perception response data — and unlocks advanced audience filters, PDF export, shareable results links, and a verifiable analysis certificate. The additional personas reveal how different demographic segments respond to your logo with distinct emotional and cognitive profiles.

No, pack credits never expire. Use them at your own pace.

All paid plans include: multiple personas per analysis (3-5 depending on plan) for multi-demographic perception profiling, advanced audience filters for targeted persona generation, PDF export of the full 33+ page scientific report, shareable results links with privacy controls, verifiable analysis certificates with QR codes, and premium AI processing. Enterprise adds API access for integration with your own tools, white-label certificates with custom branding, and a dedicated account manager.

We accept all major credit and debit cards through Stripe. All payments are processed securely with 256-bit SSL encryption. We are GDPR compliant.

Yes, we offer a 30-day money-back guarantee on all plans. If you're not satisfied with the depth and quality of our scientific analysis, contact our support team for a full refund.

Our pipeline has three foundations: objective measurements, validated third-party tools, and published research. Layer 1 computes real metrics via computer vision — symmetry, complexity (Shannon entropy), edge density, WCAG contrast ratios, golden ratio proximity, and color science. Layer 2 runs objective third-party tools: colorblind simulation (Brettel/Viénot matrices), no-reference image quality assessment (NIQE, BRISQUE, MUSIQ from PyIQA), mathematical color harmony analysis, and CLIP zero-shot semantic classification (OpenAI). These measurements are then interpreted through published research across: visual perception studies, cognitive psychology, chromatic emotion mapping, Gestalt psychology, behavioral economics, cross-cultural semiotics, Aaker's Brand Personality Framework (1997), Palmer & Schloss ecological valence theory (2010), and Kobayashi's Color Image Scale (1981/1991). The key difference: our AI interprets measured data — it doesn't generate scores from nothing.

We model predicted cognitive and emotional responses based on neuroscience research — attention allocation, emotional valence, reward processing, and pattern recognition. We also model engagement patterns across processing depth indicators and map a predicted temporal response timeline showing the sequence from initial visual capture through emotional response to meaning attribution. These are AI-modeled predictions informed by published visual neuroscience research, not direct brain measurements.

Our predictive eye tracking system is informed by published human gaze research (MIT1003 dataset, Kümmerer et al. 2022) to predict how viewers may visually navigate your logo. It produces: animated gaze path sequences showing the order in which elements capture attention, fixation duration measurements per design element, saliency scores ranking each element by attention-capturing ability, attention heatmaps visualizing where visual focus concentrates, visual flow efficiency measuring whether your hierarchy guides the eye intentionally, and attention retention rates predicting how long viewers stay engaged. This reveals whether your logo's most important elements actually receive the most attention — or whether secondary details steal focus from your core brand message.

Important: These are AI-modeled predictions inspired by neuroscience concepts, not biochemical measurements. Based on visual perception research linking design characteristics to cognitive and emotional responses, we model how your logo influences four cognitive-affect dimensions: Dopamine-like reward response (motivation, desire — does your logo trigger wanting?), Serotonin-like trust response (well-being, stability — does your logo feel reliable?), Cortisol-like stress response (alertness, urgency — does your logo create tension?), and Adrenaline-like arousal response (excitement, energy — does your logo energize?). These are AI-modeled proxies inspired by neuroscience research, not biochemical measurements. The balance of these predictions reveals whether your logo's emotional profile aligns with your brand intent.

Our approach has multiple reliability levels. Layer 1 (computer vision) produces objectively verifiable measurements — color values, contrast ratios, symmetry percentages, complexity scores. These are deterministic and reproducible. Layer 2 (third-party tools) adds more objective data: colorblind simulation uses published Brettel/Viénot matrices, image quality scores come from established academic models (NIQE, BRISQUE, MUSIQ), color harmony uses mathematical angle analysis, and CLIP classification uses OpenAI's pre-trained visual-language model. Layer 3 (AI interpretation) uses all these measurements as ground truth inputs, then interprets them through cognitive and perception science research. This multi-layer anchoring in measured data makes AI predictions significantly more grounded than systems that generate all scores from scratch.

When your logo's color pairs fail WCAG 2.1 contrast requirements, our system calculates the minimum color adjustment needed to achieve compliance. For each failing pair, you'll see the original colors, suggested alternatives (darkened or lightened), the new contrast ratio, and whether the fix meets AA or AAA standards. This turns a pass/fail accessibility check into actionable design guidance.

While our computer vision measurements (colors, contrast, symmetry) are deterministic and reproducible, AI-interpreted scores should be treated as informed starting points rather than final verdicts. We recommend human validation when: your logo uses culturally specific symbols (religious icons, national emblems) — cultural sensitivity scores may not capture all regional nuances; your logo contains dense text or non-Latin scripts — typography analysis has higher uncertainty in these cases; you're making high-stakes rebrand decisions — supplement our analysis with real audience testing; and your logo uses extremely low contrast or highly stylized typography — saliency and legibility predictions may be less reliable. The strongest approach is to use Logo Analyzer's data to form hypotheses, then validate the most critical findings with your target audience.

Your results are delivered through a 6-tab interactive dashboard: General Analysis (overall score, key metrics, category radar chart, Aaker Brand Personality radar, shape psychology, brand archetype, color palette with Palmer-Schloss and Kobayashi analysis, background versatility preview, colorblind accessibility previews), Persona Evaluations (per-persona emotional arousal, valence, sentiment, engagement responses), Eye Tracking (animated gaze paths powered by DeepGaze IIE + AI hybrid, attention heatmaps, fixation durations, saliency scores), Perceptual Response — Exploratory (perception response modeling, engagement pattern analysis, cognitive-affect predictions), Competitor Analysis (trust scores, purchase intent, differentiation index, industry benchmarking), and Advanced Insights (image quality assessment gauges, CLIP semantic classification with industry/archetype/style analysis, color harmony wheel, detailed metrics).

The 33+ page PDF report contains the complete scientific analysis: all 550+ scored metrics with explanations, perception response modeling and engagement pattern analysis, eye tracking heatmaps and gaze path data, per-persona emotional and cognitive response profiles, color science analysis with accessibility scores, typography psychology insights, market positioning benchmarks, and actionable recommendations grounded in the scientific data. It's designed for presentations, client deliverables, and strategic documentation.

Color analysis starts with real computer vision measurements: we extract your exact dominant colors with hex/RGB/HSL values and percentages, compute WCAG 2.1 contrast ratios against backgrounds (checking AA and AAA compliance for both normal and large text), measure color temperature (warm/cool), and calculate saturation and lightness statistics. We then run mathematical color harmony analysis — detecting whether your palette is complementary, analogous, triadic, split-complementary, tetradic, or monochromatic — with a harmony score and suggested improvements. Each color is identified by its CSS4 name and positioned on an interactive color wheel. Additionally, colorblind simulation renders your logo under protanopia, deuteranopia, tritanopia, and achromatopsia to verify accessibility. These measured values then inform AI interpretation through color psychology research.

When you select an industry, our system benchmarks your logo against the visual patterns and performance characteristics of established brands in your sector. The comparison evaluates visual differentiation (how distinct is your logo in the competitive landscape), cognitive distinctiveness (will viewers remember your logo among competitors), trust signal alignment (does your logo match or exceed industry trust standards), and market positioning scores (purchase intent, premium perception, loyalty potential relative to sector norms). This turns abstract competitive feelings into measurable scientific data.

Yes. You can purchase additional personas per analysis to broaden your demographic perception profiling. Each added persona independently runs through the full scientific evaluation pipeline and produces its own emotional, cognitive, and engagement response data. The cost varies by plan: $1.29 for Unlock, $0.99 for Starter and 5-Pack, $0.79 for 10-Pack, $0.59 for Professional. Enterprise plans include unlimited personas.

Our AI-Generated Logo Detection uses CLIP zero-shot classification to determine whether a logo was likely designed by a human or generated by AI. It provides a confidence percentage and a clear label (e.g., 'Likely Human-Designed — 88%'). This helps you verify the originality of logos you've commissioned or evaluate logos in your competitive landscape.

Design Trend Positioning analyzes your logo against 8 major design trends: minimalism, flat design, retro/vintage, gradient-heavy, hand-drawn/artisanal, 3D rendered, monochrome, and corporate/traditional. Each trend receives an alignment percentage, showing where your logo sits in the current design landscape. This helps you understand whether your mark feels contemporary, timeless, or dated.

The Font Category Classification identifies 7 typography categories: geometric sans-serif (like Futura), humanist sans-serif (like Gill Sans), old style serif (like Garamond), modern slab serif (like Rockwell), script/calligraphy, decorative/display, and monospace. Each category maps to personality traits — geometric sans-serifs signal modernity and cleanliness, while old style serifs convey tradition and authority.

Logo Versatility Testing uses SSIM (Structural Similarity Index) to measure how well your logo preserves its visual integrity across 6 different sizes (from 16px favicon to 512px) and 4 background colors (white, black, dark gray, light gray). Each combination receives a structural similarity score and edge preservation rating. This tells you exactly where your logo breaks down at small sizes or low contrast.

We use industry-standard security measures including 256-bit SSL encryption for all data in transit, secure cloud storage for uploaded files, and strict access controls. We are GDPR compliant and never share your data with third parties without your consent.

Your logo is stored securely on our servers so you can access your analysis results at any time. We never use your logos for AI training purposes or share them publicly. Your visual assets and analysis data remain exclusively yours. If you want your data deleted, contact our support team and we'll remove everything from our systems.

Yes. Your analysis results — including all perception response data, emotional response profiles, eye tracking predictions, and scored metrics — are private by default and only accessible to your account. The only way others can see your results is if you explicitly create a share link with your chosen privacy settings (available on paid plans).

Visit our Contact page for assistance. Our support team — familiar with the scientific methodology behind every metric — typically responds within 24 hours. Professional and Enterprise subscribers receive priority support with faster response times.

Our multi-stage scientific pipeline — visual decomposition, perception modeling, persona simulation, eye tracking prediction — typically completes within 1-2 minutes. If your results page shows 'processing' for more than 5 minutes, try refreshing the page. If the issue persists, contact our support team with your analysis ID and we'll investigate immediately.

Each analysis uses one credit from your plan. To evaluate the same logo with different audience filters or persona configurations, you would submit a new analysis. Different demographic targets produce fundamentally different perception response profiles — a logo that scores high with young urban professionals may score differently with rural retirees — so re-running with different settings provides genuinely new scientific data.

Enterprise plan users have access to a dedicated account manager who can help interpret analysis results and translate them into brand strategy decisions. For other plans, our support team is available to help you understand your perception response data, persona evaluations, and how to act on the 550+ metrics in your report.