Automatically extract and structure resume data with AI
Swiftask uses AI to turn unstructured resumes into actionable data. Your recruiters get instant access to key information, with no manual entry required.
Result:
Reduce candidate processing time by 80% and improve your database accuracy.
AI Agents
ai textraction
Connector ai textraction · Secure OAuth 2.0
Manual data entry slows down your hiring team
Hiring top talent requires speed. Yet, most recruiters spend hours manually copy-pasting information from PDF or Word documents into their ATS. This repetitive process creates bottlenecks, data entry errors, and delays decision-making.
Main negative impacts:
Wasted time on manual tasks
Recruiters lose valuable time on low-value administrative tasks instead of focusing on interviewing and evaluating candidates.
Risk of errors and incomplete data
Manual entry inevitably increases the risk of errors, leading to inconsistent data in your ATS and flawed filtering.
Delayed candidate response
Slow processing of applications reduces your ability to respond quickly, potentially losing top profiles to competitors.
Swiftask automates resume data extraction using AI. Our AI Textraction connector analyzes your documents, identifies skills, experience, and contact info, and automatically structures them into your system.
BEFORE / AFTER
What changes with Swiftask
Without Swiftask
The recruiter receives a resume by email. They open the file, read the content, switch to the ATS, manually enter the information, and upload the document. If they receive 50 resumes a day, this process becomes a major drag on productivity.
With Swiftask + AI Textraction
The resume is dropped into a folder or received via email. The Swiftask AI agent detects it, instantly extracts key data, formats it, and pushes it directly into your ATS. The recruiter gets a notification with the profile already qualified.
How to automate your resume parsing in 4 steps
1
STEP 1 : Configure your extraction agent
Define the fields you want to extract (name, skills, years of experience, education) in your Swiftask agent.
2
STEP 2 : Connect your resume source
Connect Swiftask to your email, Drive folder, or job board to monitor incoming documents.
3
STEP 3 : Define the destination
Configure the agent to send extracted data to your ATS via API or webhook.
4
STEP 4 : Activate the workflow
As soon as a new resume arrives, the AI processes it immediately. You receive an alert to validate the most relevant profiles.
Advanced extraction features
Our AI analyzes the document structure, experience context, and skill relevance to ensure precise extraction.
- Target connector: The agent performs the right actions in ai textraction based on event context.
- Automated actions: Intelligent data extraction, JSON formatting for integration, key skill detection, automatic filtering based on your criteria, real-time alerts.
- Native governance: All processing is tracked in Swiftask for full GDPR compliance.
Each action is contextualized and executed automatically at the right time.
Each Swiftask agent uses a dedicated identity (e.g. agent-ai-textraction@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.
Benefits for your HR team
Boosted productivity
Eliminate manual entry and spend your time on human interaction with candidates.
Data accuracy
Eliminate human entry errors with reliable and consistent AI extraction.
Increased reactivity
Identify and reach out to top talent as soon as they apply.
Profile standardization
All applications are structured the same way in your ATS, making search and filtering easier.
Scalability
Handle large volumes of applications without increasing your administrative resources.
Security and compliance
Swiftask applies enterprise-grade security standards for your ai textraction automations.
- Data privacy: Extracted data is processed securely and is not used to train our models.
- GDPR compliance: Swiftask ensures rigorous management of personal data in accordance with European requirements.
To learn more about compliance, visit the Swiftask governance page for detailed security architecture information.
RESULTS
Measurable results
| Metric | Before | After |
|---|---|---|
| Processing time per resume | 5 to 10 minutes | Under 5 seconds |
| Data entry error rate | 5-10% | Less than 0.1% |
| Resume processing volume | Limited by human capacity | Unlimited |
Take action with ai textraction
Reduce candidate processing time by 80% and improve your database accuracy.