Tarification

Scale your visual database with AI-powered auto-tagging

Swiftask connects your image libraries to APImage. Automatically identify, classify, and tag every visual asset the moment it's uploaded.

Resultat:

Drastically reduce search time and structure your visual databases without manual effort.

The organizational chaos of your image libraries

Manually managing thousands of images is a constant struggle. Between illegible filenames and missing metadata, your teams waste hours locating the right visuals. The result: lost productivity and underutilized assets.

Les principaux impacts négatifs :

Time-consuming searches: Without a consistent tagging system, finding a specific image becomes an endless quest for your creative and marketing teams.
Inconsistent metadata: Every user follows their own naming conventions, making global search impossible and inefficient.
Underutilized assets: High-value images remain invisible within your company simply because they are not properly indexed.

Swiftask automates the process using the APImage integration. The AI analyzes visual content and instantly applies relevant tags, ensuring flawless organization.

AVANT / APRÈS

Ce qui change avec Swiftask

Manual management

A designer uploads 500 photos. They must open each file, analyze the content, and manually enter keywords into your system. The process takes days and is prone to human error.

Automation with Swiftask

Upon upload, the Swiftask AI agent sends the image to APImage. The AI generates tags, injects them into metadata, and categorizes the file. Your images are ready to use in seconds.

Deploy your auto-tagging pipeline in 4 steps

ÉTAPE 1 : Initialize your Swiftask agent

Set up an agent dedicated to image processing in the Swiftask interface, with zero code required.

ÉTAPE 2 : Connect to your APImage instance

Enable the APImage connector to allow your agent to communicate with your computer vision tools.

ÉTAPE 3 : Define classification rules

Configure labeling criteria: object types, dominant colors, context, or specific business themes.

ÉTAPE 4 : Automate the workflow

Connect your import folders. Every new image is automatically analyzed and tagged in real time.

Advanced vision capabilities for your assets

The AI analyzes composition, entities (objects, people, places), and visual style to generate relevant tags.

Connecteur cible : L'agent exécute les bonnes actions dans apimage selon le contexte de l'événement.
Actions automatisées : Automatic metadata indexing, smart folder creation based on tags, dynamic filtering by visual attributes, triggering alerts for non-compliant images.
Gouvernance native : All processes are trackable via Swiftask, allowing you to validate indexing accuracy at any time.

Chaque action est contextualisée et exécutée automatiquement au bon moment.

Chaque agent Swiftask utilise une identité dédiée (ex. agent-apimage@swiftask.ai ). Vous gardez une visibilité complète sur chaque action et chaque message envoyé.

À retenir : L'agent automatise les décisions répétitives et laisse à vos équipes les actions à forte valeur.

Strategic benefits of AI indexing

1. Massive productivity gains

Eliminate manual metadata entry for your creative teams.

2. Instant searchability

Find any visual asset in milliseconds thanks to precise indexing.

3. Standardized archives

A uniform taxonomy applied automatically across your entire image library.

4. Effortless scalability

Whether you process 10 or 10,000 images, the AI agent maintains consistent performance.

5. Seamless integration

APImage interfaces natively with your storage tools for a smooth transition.

Privacy and data mastery

Swiftask applique des standards de sécurité enterprise pour vos automatisations apimage.

Secure asset processing: Your images are processed via encrypted streams, ensuring the protection of your intellectual property.
Data governance: You retain full control over generated tags and their storage within your infrastructure.
Enterprise compliance: Swiftask ensures full traceability of every action performed on your files.
Modular architecture: The APImage integration respects your internal security protocols without compromising flexibility.

Pour aller plus loin sur la conformité, consultez la page gouvernance Swiftask et ses détails d'architecture de sécurité.

RÉSULTATS

Operational impact on your resources

Métrique	Avant	Après
Indexing time per image	3 to 5 minutes (manual)	Under 2 seconds (AI)
Classification error rate	Variable and high	Below 1% (predictive)
Average search time	Several minutes	A few seconds
Processing volume	Human-limited	Unlimited and continuous

Passez à l'action avec apimage

Drastically reduce search time and structure your visual databases without manual effort.

Redimensionnez vos images intelligemment avec APImage et Swiftask

Cas d'usage suivant.