Tarification

Automatically extract text from documents with Azure AI Vision

Swiftask connects Azure AI Vision to your business tools. Your documents, invoices, and images are analyzed instantly to extract the text you need.

Resultat:

Save valuable time by eliminating manual data entry and drastically reducing the risk of human error.

Manual data entry is holding back your productivity

Many companies spend hours every day manually transcribing information from scanned documents, invoices, or images. This process is slow, costly, and prone to typing errors.

Les principaux impacts négatifs :

Slow and costly processes: Manual entry consumes precious time that could be dedicated to higher-value tasks.
Risk of human error: Manual transcription inevitably leads to mistakes, impacting the quality of your databases.
Non-actionable data: Your information remains trapped in image or PDF files, making automated search or analysis impossible.

Swiftask automates extraction using Azure AI Vision. You send your documents, the agent extracts the text and injects it into your systems — 24/7, with industry-grade precision.

AVANT / APRÈS

Ce qui change avec Swiftask

Without Swiftask

An employee receives dozens of invoices by email. They must open them one by one, read the amounts and dates, then manually enter them into the ERP. It's a repetitive and monotonous task.

With Swiftask + Azure AI Vision

As soon as an image or document arrives, the Swiftask agent sends it to Azure AI Vision. The text is extracted, structured, and automatically sent to your management software.

Automate OCR in 4 simple steps

ÉTAPE 1 : Configure your OCR agent in Swiftask

Create an agent dedicated to text extraction. No technical skills are needed to configure the workflow.

ÉTAPE 2 : Integrate Azure AI Vision

Connect your Azure AI Vision key to Swiftask. The link is secure and ready to use in just a few clicks.

ÉTAPE 3 : Define the trigger

Choose the trigger event: receiving an email, adding a file to the cloud, or submitting via a form.

ÉTAPE 4 : Retrieve the data

Define where the extracted data should be sent (CRM, ERP, spreadsheet) and activate the automation.

Advanced extraction features

The agent processes various formats: invoices, contracts, ID cards, handwritten or printed forms. It detects the language and structures the extracted data.

Connecteur cible : L'agent exécute les bonnes actions dans azure ai vision selon le contexte de l'événement.
Actions automatisées : Raw text extraction, table detection, recognition of specific fields (date, amount), export to JSON or CSV, direct integration with your business apps.
Gouvernance native : Precision is guaranteed by Azure AI Vision's deep learning models, optimized for B2B environments.

Chaque action est contextualisée et exécutée automatiquement au bon moment.

Chaque agent Swiftask utilise une identité dédiée (ex. agent-azure-ai-vision@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.

Why automate your OCR with Swiftask?

1. Massive productivity gain

Free your teams from repetitive and tedious entry tasks.

2. Increased precision

Eliminate typing errors with the power of Azure AI.

3. Fluid integration

Connect OCR to your existing tools without changing your workflows.

4. Scalability

Process hundreds or thousands of documents without increasing headcount.

5. Compliance

Centralize and archive your extracted data securely.

Security and privacy

Swiftask applique des standards de sécurité enterprise pour vos automatisations azure ai vision.

Data encryption: Your documents are processed via encrypted and secure connections.
Privacy compliance: Azure AI Vision adheres to the strictest market privacy standards.
Access control: You precisely manage who has access to workflows and extracted data.
Traceability: Every operation is logged for a complete audit of your processes.

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

RÉSULTATS

Measurable results

Métrique	Avant	Après
Processing time per document	5-10 minutes (manual)	A few seconds (automated)
Entry error rate	High (human)	Near 0% (AI)
Volume of processed documents	Limited by human capacity	Unlimited (cloud scalability)
Time to deploy	Weeks (development)	A few minutes (no-code)

Passez à l'action avec azure ai vision

Save valuable time by eliminating manual data entry and drastically reducing the risk of human error.

Automatisez la modération de contenu avec Azure AI Vision

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