Extract data from Gmail automatically with AI
Swiftask turns your incoming emails into structured data. No more copy-pasting; your information is extracted and sent exactly where you need it.
Result:
Save hours of manual data entry every week and eliminate human error.
AI Agents
n1n
Connector n1n · Secure OAuth 2.0
Manual email processing is a bottleneck
Every day, your team receives hundreds of emails containing critical information: invoices, orders, leads, confirmations. Extracting this data by hand is a massive waste of time.
Main negative impacts:
Frequent entry errors
Manual data transfer is prone to typos and oversights, compromising the reliability of your databases.
Significant processing delays
Time spent processing emails causes delays in your essential business processes.
Unusable data
Information stays trapped in unstructured emails, impossible to analyze or use in your reporting tools.
Swiftask automates extraction. Our AI agents read your Gmail emails, identify key fields, and inject them directly into your tools or databases.
BEFORE / AFTER
What changes with Swiftask
The manual workflow
You receive an order by email. You open the file, copy customer details, open your CRM, paste the data, save. A repetitive, low-value task.
The Swiftask automation
The AI agent detects the email, automatically extracts the name, order, and amount, then updates your CRM instantly with zero action on your part.
Deploy your AI extractor in 4 steps
1
STEP 1 : Define entities to extract
Tell Swiftask what information to extract (e.g., order number, amount, customer email).
2
STEP 2 : Secure Gmail connection
Authorize Swiftask to access your emails via a secure OAuth connection.
3
STEP 3 : Configure destination
Choose where to send extracted data: Google Sheets, Airtable, CRM, or another tool via API.
4
STEP 4 : Activate the workflow
The agent processes every new incoming email in real-time and populates your tools automatically.
Advanced extraction capabilities
The AI understands the context and format of your emails, even if the text varies from sender to sender.
- Target connector: The agent performs the right actions in n1n based on event context.
- Automated actions: Extract text, amounts, dates. Analyze attachments. Structure in JSON or CSV. Automatic sending to webhooks or third-party apps.
- Native governance: Precision is guaranteed by our LLM models trained on your business documents.
Each action is contextualized and executed automatically at the right time.
Each Swiftask agent uses a dedicated identity (e.g. agent-n1n@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.
Automation benefits
Maximum precision
AI makes no typos and maintains perfect data consistency.
Massive productivity gains
Free your teams from repetitive tasks for higher-value activities.
Seamless integration
Your data is immediately usable in your management tools.
Total scalability
Process 10 or 10,000 emails per day without changing your structure.
Full audit
Keep track of every extraction and change made by the agent.
Security and compliance
Swiftask applies enterprise-grade security standards for your n1n automations.
- Limited and secure access: Swiftask uses OAuth tokens for Gmail, never storing your passwords.
- Data encryption: All extracted data is encrypted at rest and in transit.
- GDPR compliance: Strict respect for the confidentiality of personal data processed.
- Total control: You remain in control of agents and can disable them at any time.
To learn more about compliance, visit the Swiftask governance page for detailed security architecture information.
RESULTS
Impact on operations
| Metric | Before | After |
|---|---|---|
| Processing time | 5-10 min/email | Under 5 seconds |
| Error rate | 3-5% | Near 0% |
| Processing capacity | Limited by humans | Unlimited (automated) |
| Operational ROI | High hourly cost | Drastic cost reduction |
Take action with n1n
Save hours of manual data entry every week and eliminate human error.