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.
Result:
Save valuable time by eliminating manual data entry and drastically reducing the risk of human error.
AI Agents
azure ai vision
Connector azure ai vision · Secure OAuth 2.0
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.
Main negative impacts:
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.
BEFORE / AFTER
What changes with 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
1
STEP 1 : Configure your OCR agent in Swiftask
Create an agent dedicated to text extraction. No technical skills are needed to configure the workflow.
2
STEP 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.
3
STEP 3 : Define the trigger
Choose the trigger event: receiving an email, adding a file to the cloud, or submitting via a form.
4
STEP 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.
- Target connector: The agent performs the right actions in azure ai vision based on event context.
- Automated actions: Raw text extraction, table detection, recognition of specific fields (date, amount), export to JSON or CSV, direct integration with your business apps.
- Native governance: Precision is guaranteed by Azure AI Vision's deep learning models, optimized for B2B environments.
Each action is contextualized and executed automatically at the right time.
Each Swiftask agent uses a dedicated identity (e.g. agent-azure-ai-vision@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.
Why automate your OCR with Swiftask?
Massive productivity gain
Free your teams from repetitive and tedious entry tasks.
Increased precision
Eliminate typing errors with the power of Azure AI.
Fluid integration
Connect OCR to your existing tools without changing your workflows.
Scalability
Process hundreds or thousands of documents without increasing headcount.
Compliance
Centralize and archive your extracted data securely.
Security and privacy
Swiftask applies enterprise-grade security standards for your azure ai vision automations.
- 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.
To learn more about compliance, visit the Swiftask governance page for detailed security architecture information.
RESULTS
Measurable results
| Metric | Before | After |
|---|---|---|
| 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) |
Take action with azure ai vision
Save valuable time by eliminating manual data entry and drastically reducing the risk of human error.