Pricing

Automate image quality control with APImage and AI

Swiftask integrates with APImage to automatically analyze and validate your visual assets. Eliminate compliance errors from the moment of receipt.

Result:

Speed up your validation processes while ensuring consistent quality across all your visuals.

Manual quality control slows down your creative teams

Manually checking thousands of images for imperfections, format errors, or compliance issues is a repetitive, error-prone task. This bottleneck slows down production and increases operational costs.

Main negative impacts:

Costly human errors: Visual fatigue leads to oversights, allowing non-compliant assets to pass through and requiring late-stage corrections.
Delayed production cycles: Every image must wait for human intervention to be validated, stalling the entire publication chain.
Inconsistent quality standards: Without automation, applying the same quality criteria consistently across all projects is nearly impossible.

Swiftask automates quality control by sending your images to APImage for instant analysis. Your AI agents validate or reject files based on your defined criteria.

BEFORE / AFTER

What changes with Swiftask

Before Swiftask: Manual process

A designer submits a batch of images. A quality manager opens them one by one, checks specs, notes errors, and sends them back via email. This process takes hours and creates unnecessary back-and-forth.

With Swiftask + APImage: Automation

As soon as an image is uploaded, the Swiftask agent sends it to APImage. Analysis is immediate. Compliant images are validated; others are tagged with detected errors and sent to a correction folder.

Set up your automated QC in 4 steps

STEP 1 : Define your rules

Configure in Swiftask the quality criteria (format, resolution, color) that APImage should verify.

STEP 2 : Connect APImage

Link your APImage account to Swiftask to enable the sending and receiving of analysis data.

STEP 3 : Automate the workflow

Define the trigger (e.g., file upload) to automatically launch the analysis of every new image.

STEP 4 : Validate or alert

The agent processes the result. If the image fails QC, a notification is sent to the relevant team.

Advanced image processing capabilities

The agent analyzes metadata, technical properties, and visual content via APImage for a comprehensive evaluation.

Target connector: The agent performs the right actions in apimage based on event context.
Automated actions: Automatic technical spec verification, artifact detection, image classification by quality score, intelligent routing to retouching teams.
Native governance: All analysis results are stored in Swiftask for long-term quality tracking.

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

Each Swiftask agent uses a dedicated identity (e.g. agent-apimage@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 of automated QC

1. Massive productivity gain

Eliminate manual verification tasks to focus on creation.

2. Guaranteed standardization

Apply strict, identical rules to every processed asset.

3. Error reduction

AI detects issues invisible to the human eye or overlooked due to fatigue.

4. Full scalability

Process hundreds of images per minute without increasing your headcount.

5. Full traceability

Keep a history of every control for your compliance audits.

Security and data compliance

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

Asset encryption: Your images are processed using enterprise-grade security protocols.
Access management: Precisely control who can configure quality control rules.
Audit log: Every check is tracked for complete transparency.
Compliance: Adherence to data protection and privacy standards.

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

RESULTS

Measurable impact on your business

Metric	Before	After
Validation time	Several hours	Milliseconds
Error rate	Variable (human)	Near 0%
Cost per asset	High (labor-intensive)	Minimal (automated)
Volume handled	Limited by team	Unlimited

Take action with apimage

Speed up your validation processes while ensuring consistent quality across all your visuals.