Pricing

Detect visual anomalies in your interfaces in real time

Swiftask automates screenshot capture (GetScreenshot) and uses AI to analyze your interfaces, spotting visual bugs, layout shifts, or data errors.

Result:

Ensure the visual quality of your applications without constant human monitoring.

Visual bugs that escape your tests

Traditional automated tests often verify code logic but miss visual anomalies: misaligned elements, truncated text, or missing error states. Without visual monitoring, these errors reach your end users directly.

Main negative impacts:

Late detection of regressions: A minor update can break a critical layout. Without systematic capture, the anomaly remains invisible until a client reports it.
Expensive manual testing: Manually checking every screen across different browsers and resolutions is slow, repetitive, and prone to human error.
Lack of visual evidence: In case of an incident, it is difficult to prove the exact state of the interface at a specific time without reliable, historical screenshots.

Swiftask combines programmatic screenshotting with AI analysis. Your agent monitors your interfaces continuously, detects deviations from a reference point, and alerts you instantly.

BEFORE / AFTER

What changes with Swiftask

Before Swiftask

A QA team spends hours manually navigating through the application after every deployment. Despite their efforts, subtle visual anomalies slip into production, degrading user experience and trust.

With Swiftask + GetScreenshot

An AI agent triggers automated screenshots after every release. It compares results against a reference image, identifies anomalies, and generates a detailed report in Teams or Slack.

Setting up your visual monitoring

STEP 1 : Define the capture point

Configure the Swiftask agent to navigate to the target URL and trigger the GetScreenshot connector at key moments.

STEP 2 : Establish your visual reference

Provide the AI with a reference image or define the UI zones that need priority monitoring.

STEP 3 : Configure analysis rules

Set the agent to detect color differences, missing elements, or layout shifts.

STEP 4 : Automate alerts

Link anomaly detection to an automatic notification so your team can intervene immediately.

Intelligent detection capabilities

The AI analyzes pixels, DOM structure, and business context to distinguish normal evolution from actual visual anomalies.

Target connector: The agent performs the right actions in getscreenshot based on event context.
Automated actions: Multi-resolution capture. Pixel-perfect or semantic comparison. Exclusion of dynamic zones (time, variable data). Screenshot history for audit.
Native governance: Swiftask reduces false positives by learning from acceptable variations in your interface.

Each action is contextualized and executed automatically at the right time.

Each Swiftask agent uses a dedicated identity (e.g. agent-getscreenshot@swiftask.ai ). You keep full visibility on every action and every sent message.

Key takeaway: The agent automates repetitive decisions and leaves high-value actions to your teams.

Operational benefits

1. Reduced QA time

Automate visual regression tests and free up time for your development teams.

2. Early detection

Identify anomalies minutes after deployment, well before users notice them.

3. UI governance

Maintain perfect visual consistency across all your test and production environments.

4. Incident evidence

Every anomaly is documented with a timestamped screenshot for accelerated resolution.

5. No-code scalability

Add new screens to monitor in a few clicks, without changing your application's source code.

Security and compliance

Swiftask applies enterprise-grade security standards for your getscreenshot automations.

Encrypted captures: All captured images are stored securely and encrypted at rest.
Restricted access: Only authorized members of your workspace can access screenshots and anomaly reports.
Compliance: Swiftask adheres to privacy standards to ensure your sensitive data is not exposed.
Data control: You maintain full control over the retention and deletion of screenshots.

To learn more about compliance, visit the Swiftask governance page for detailed security architecture information.

RESULTS

Impact on your performance

Metric	Before	After
Visual test time	Several hours (manual)	A few minutes (AI)
Production anomalies	High	Reduced by 80%+
Correction cost	High (late detection)	Low (immediate detection)

Take action with getscreenshot

Ensure the visual quality of your applications without constant human monitoring.

Generate automated visual reports with screenshot capture

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