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Visual testing services

Verify visual integrity across all application layers with automated visual testing services.

API Testing Service
Metasploit
Percy
Locust
Applitools
Gatling
BackstopJS
Apache JMeter
SikuliX
Apache JMeter
Happo.io
Apache JMeter
Hermione.js
nGrinder
Wraith
nGrinder
Browsershot
nGrinder
Gemini
nGrinder
Logo Lab
nGrinder
Sauce Visual
Metasploit
Percy
Locust
Applitools
Gatling
BackstopJS
Apache JMeter
SikuliX
Apache JMeter
Happo.io
Apache JMeter
Hermione.js
nGrinder
Wraith
nGrinder
Browsershot
nGrinder
Gemini
nGrinder
Logo Lab
nGrinder
Sauce Visual
Metasploit
Percy
Locust
Applitools
Gatling
BackstopJS
Apache JMeter
SikuliX
Apache JMeter
Happo.io
Apache JMeter
Hermione.js
nGrinder
Wraith
nGrinder
Browsershot
nGrinder
Gemini
nGrinder
Logo Lab
nGrinder
Sauce Visual
QA Challenge Shape
Underlying challenges

Get ready for visual challenges!

Overlooking visual testing could result in critical issues, affecting the user experience and overall success of your application.

Rapid technological advancements

Time constraints

Time constraints

Security Vulnerabilities

Manual visual testing can be time-consuming and resource-intensive, impacting project timelines.

Performance Issues

Over-time expensive

Over-time expensive

Performance Issues

Post-launched applications containing visual issues become more expensive to fix. Affecting the budget.

Faulty Integration

Accessibility barriers

Accessibility barriers

Faulty Integration

Undetected visual issues can hinder accessibility for some users, leading to legal and reputational risks.

Increased Costs

Negative marketing

Negative marketing

Increased Costs

Minor visual discrepancies can erode brand trust, and users might take things to social media.

Benefits

Benefits of AI-driven visual testing

Combining automated visual testing with AI-driven tools provides several overlooked benefits that significantly assist your project.

Less time consumption

Visual testing provides up to 60% time savings compared to manual testing.

Cost efficient

Our AI tools detect even the subtlest visual changes and prevent visual issues in post-launched applications.

Improved accessibility

Identify and address visual barriers that hinder disabled users, promoting compliance standards.

Positive brand perception

Visual checks prevent minor visual discrepancies, maintain brand trust, and avoid negative publicity.

Ready to get pixel-perfect visual performance with our AI visual testing services?

Service CTA BG
What We test Shape

What we test

We verify your application’s aesthetic integrity and consistent design for an engaging user interface.

Cross-browser testing:

Layout checking

 Conduct layout testing using BackstopJs to compare and validate visual layouts against baseline references.

Visual automation:

Brand compliance testing

Validating visual brand compliance using Brandfetch to ensure consistent application branding and design elements.

Data Format Verification

Localization translations check

Testing visual localization using App Screencapture to capture localized visual content and verify accurate translations.

Security Testing

Dynamic visual testing

Integrating Galen Selenium for validating visual elements dynamically rendered based on user interactions.

Rate Limiting And Throttling

A/B testing

Verifying the visual consistency of variations in A/B testing scenarios to assess user preferences.

Rate Limiting And Throttling

Long-term consistency

Comparing visual elements with historical baselines to detect trends and ensure long-term visual consistency.

Rate Limiting And Throttling

Automating comparisons

Automating the comparisons of images to detect visual differences and validate the accuracy of visual elements.

Rate Limiting And Throttling

Visual grid parallelization

Implementing a visual grid for parallel execution of visual tests, optimizing test speed.

Authentication And Authorization Tests

And other validations like

Interaction visualization, Media rendering accuracy, Cross-browser, and Cross-device compatibility.

Cross-browser testing:

Layout checking

 Conduct layout testing using BackstopJs to compare and validate visual layouts against baseline references.

Visual automation:

Brand compliance testing

Validating visual brand compliance using Brandfetch to ensure consistent application branding and design elements.

Data Format Verification

Localization translations check

Testing visual localization using App Screencapture to capture localized visual content and verify accurate translations.

Security Testing

Dynamic visual testing

Integrating Galen Selenium for validating visual elements dynamically rendered based on user interactions.

Rate Limiting And Throttling

A/B testing

Verifying the visual consistency of variations in A/B testing scenarios to assess user preferences.

Rate Limiting And Throttling

Long-term consistency

Comparing visual elements with historical baselines to detect trends and ensure long-term visual consistency.

Rate Limiting And Throttling

Automating comparisons

Automating the comparisons of images to detect visual differences and validate the accuracy of visual elements.

Rate Limiting And Throttling

Visual grid parallelization

Implementing a visual grid for parallel execution of visual tests, optimizing test speed.

Authentication And Authorization Tests

And other validations like

Interaction visualization, Media rendering accuracy, Cross-browser, and Cross-device compatibility.

Block Quote

Visual testing is no longer just about aesthetics; it's a fundamental aspect of delivering a positive user experience.

Block Quote
John Bell
Client Successes Shape

Client Successes

A leading clothing brand trusted us with their platform’s visual issues. Here is how we dealt with those challenges with the help of AI.

Problem

Challenges

Challenges

Our client in the IoT domain faced security issues, data breaches, and interoperability concerns that posed significant challenges, jeopardizing the integrity and reliability of interconnected devices.

Challenges

The e-commerce platform faced frequent visual inconsistencies across devices, leading to constant customer complaints and lost revenue through app abandonment.

Our Response

Solutions

Solutions

We implemented AI-driven visual testing to detect visual defects, meticulously identified and rectified visual inconsistencies, and implemented CI/CD integration automation.

Success

Result

Result

Achieved a 30% reduction in visual issues! Our AI-driven approach ensured a consistent and expected visual experience across all browsers. User abandonment decreased by a considerable amount.

Our approach

Our path to visual excellence

Experience our testing services that emphasise Quality on time, clear communication, and a collaborative approach.

1.

Discovery and Planning
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    Requirement gathering: Collaborating with clients to understand the visual testing goals and challenges.

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    Best-fit tool selection: Select the best-fit AI-driven tools that are optimal for visual testing.

2.

Test environment setup
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    Configure test data: Gather static visual captures of pages for visual tests.

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    Set up test environment: Mirroring the production environment or a dedicated test instance for pixel-perfect accuracy of the product.

3.

Test design and Development
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    Creating manual tests: Covering all aspects through manual testing, with the potential for later conversion to automation.

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    Creating custom framework: Crafting a reusable automation framework for repetitive visual testing tasks with the help of AI.

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    Development of test scripts: Converting the manual tests into automated tests according to priority for efficiency and repetition.

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    Continuous integration: Push the test scripts to your CI/CD pipeline for automated builds, checks, linting, and pre-post execution.

4.

Test execution and Reporting
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    Execute test suite: Execute manual and automated visual test cases, capturing results at the end of the execution, either manually or through automation.

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    Analyzing test results: Identify visual discrepancies, performance issues, and potential UI breaches through result analysis.

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    Generate test reports: Provide clear, actionable insights with evidence, such as screenshots and video recordings.

5.

Continuous improvement
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    Sharing feedback: We offer suggestions for the visual improvements as a client POV.

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    Refine test cases: Improve test cases based on test results and client feedback.

1.

Discovery and Planning
  • Checkmark

    Requirement gathering: Collaborating with clients to understand the visual testing goals and challenges.

  • Checkmark

    Best-fit tool selection: Select the best-fit AI-driven tools that are optimal for visual testing.

2.

Test environment setup
  • Checkmark

    Configure test data: Gather static visual captures of pages for visual tests.

  • Checkmark

    Set up test environment: Mirroring the production environment or a dedicated test instance for pixel-perfect accuracy of the product.

3.

Test design and Development
  • Checkmark

    Creating manual tests: Covering all aspects through manual testing, with the potential for later conversion to automation.

  • Checkmark

    Creating custom framework: Crafting a reusable automation framework for repetitive visual testing tasks with the help of AI.

  • Checkmark

    Development of test scripts: Converting the manual tests into automated tests according to priority for efficiency and repetition.

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    Continuous integration: Push the test scripts to your CI/CD pipeline for automated builds, checks, linting, and pre-post execution.

4.

Test execution and Reporting
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    Execute test suite: Execute manual and automated visual test cases, capturing results at the end of the execution, either manually or through automation.

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    Analyzing test results: Identify visual discrepancies, performance issues, and potential UI breaches through result analysis.

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    Generate test reports: Provide clear, actionable insights with evidence, such as screenshots and video recordings.

5.

Continuous improvement
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    Sharing feedback: We offer suggestions for the visual improvements as a client POV.

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    Refine test cases: Improve test cases based on test results and client feedback.

Our Approach Shape

Why choose Alphabin?

Long-term Support

AI-infused testing

Deep understanding of AI technologies and testing best practices. Sharing knowledge is common amongst different project testers in our company.

Data-Driven Decisions

Commitment to innovation

Stay ahead of the curve by continuously exploring cutting-edge AI tools and techniques.

Budget Friendly Solutions

Long-term success

We prioritize your unique needs and challenges to deliver customized solutions, and we provide ongoing support and consultation to ensure your long-term success.

Our Resource Shape

Our Resources

Explore our insights into the latest trends and techniques in AI-Driven visual testing.

The Importance of System Testing in Software Development: Ensuring Your Product & Success

The Importance of System Testing in Software Development: Ensuring Your Product & Success

  • Jul 12, 2024

System testing is essential for the quality and high performance of a software application. Even the best-designed system can fail to deliver what is intended to, you still don't want it. Our proficiency in system testing will help your program operate smoothly, ensuring a successful release onto the market.

How to do Mobile Application Testing Manually?

How to do Mobile Application Testing Manually?

  • Jul 8, 2024

Manual testing is essential for mobile applications to find most of the defects that may impact how well the application is made. It helps testers to use the application as a normal end-user experience and is good for finding bugs that mobile automated testing would not reveal.

Understanding ISO 27001 Security Standards for Your Organization

Understanding ISO 27001 Security Standards for Your Organization

  • Jul 4, 2024

ISO 27001 is a well-recognized international standard that provides a framework for managing and protecting information assets. It helps organizations of all sizes and industries secure their data against potential risks. By implementing ISO 27001, you can ensure that your business stays compliant with legal requirements and maintains a strong reputation for security.

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Alphabin, a remote and distributed company, values your feedback. For inquiries or assistance, please fill out the form below; expect a response within one business day.

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FAQs

Frequently Asked Questions

What types of visual issues can AI-driven visual testing detect?
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Our AI algorithms are trained to identify a wide range of visual discrepancies, including:

  1. Layout shifts: Inconsistent spacing, element alignment, or unexpected shifts in UI components.
  2. Color variations: Mismatched or contrasting colors compared to reference designs.
  3. Font discrepancies: Incorrect font sizes, styles, or missing typography elements.
  4. Image and icon inaccuracies: Broken images, blurred visuals, or misplaced icons.
  5. Accessibility barriers: Inconsistent contrast ratios, lack of keyboard focus indication, or missing alternative text for images.
How accurate is AI when infused with visual testing compared to manual testing?
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AI-powered tools achieve significantly higher accuracy compared to manual testing. Our algorithms can detect even subtle pixel-level differences, while human observers are prone to overlooking minor inconsistencies or being biased by familiarity with the UI. This leads to better overall coverage and reduced risk of visual regressions slipping through the cracks.

Can your visual testing handle dynamic content?
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Yes, our AI technology is adept at handling dynamic content such as animations, interactive elements, and content that changes based on user actions. We can configure test cases to account for expected variations and ensure visual consistency through these dynamic experiences.

How does visual testing integrate with my existing development workflow?
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We offer seamless integration with popular CI/CD pipelines, allowing you to automatically run visual tests after code changes or deployments. This enables continuous monitoring of visual quality and rapid identification of any issues before they reach end users.

How does AI-infused visual testing differ from traditional screenshot comparison tools?
FAQ Arrow

Traditional screenshot comparison tools rely on pixel-by-pixel comparison, making them sensitive to minor variations caused by anti-aliasing or font rendering differences. AI-powered tools go beyond pixel matching, utilizing computer vision algorithms to understand the intended appearance of UI elements and identify deviations even if the pixel data differs slightly. This results in more robust and reliable visual testing, especially for responsive designs and dynamic content.