Extract structured data from your documents with Anthropic Claude
Swiftask integrates Claude to transform your unstructured documents (PDFs, emails, reports) into structured, actionable data. Increase accuracy and speed.
Result:
Eliminate manual data entry and human error. Automate your document processing workflows.
AI Agents
anthropic (claude)
Connector anthropic (claude) · Secure OAuth 2.0
Manual document processing is a major bottleneck
Most critical data is hidden in unstructured files. Your teams waste hours manually extracting information to feed into your systems, leading to delays and high error risks.
Main negative impacts:
High operational costs
Manual data entry is a repetitive task that costs your company money and ties up talent in low-value work.
Risk of human error
Fatigue and high document volumes lead to inevitable errors, impacting the quality of your databases.
Slow processing times
The latency between document receipt and data availability slows down your customer responsiveness and business processes.
Swiftask leverages Anthropic Claude's reasoning power to analyze, understand, and extract exactly the information you need. Your documents are processed instantly, with consistent and reliable structure.
BEFORE / AFTER
What changes with Swiftask
Without Swiftask
An employee receives an email with an invoice. They open the file, read the info, and manually type it into your ERP. The process takes 10 minutes, is prone to errors, and doesn't scale.
With Swiftask + Anthropic Claude
The document is dropped into the workflow. The Swiftask AI agent using Claude automatically extracts key fields (amount, date, ID, line items) and pushes them into your target system. Processing time: seconds.
Automate your extraction in 4 steps
1
STEP 1 : Define your data schema
Configure the exact fields you want to extract (e.g., date, total, client name, references) in Swiftask.
2
STEP 2 : Connect Claude to your sources
Enable the Anthropic connector in Swiftask and select the Claude model best suited for your document complexity.
3
STEP 3 : Configure triggers
Set when extraction should run (e.g., email receipt, file upload, third-party webhook).
4
STEP 4 : Inject your data
Define where the extracted data should go (CRM, ERP, database, or project management tool).
Advanced extraction capabilities
Claude analyzes the semantic structure of the document, going beyond simple text to understand context and extract data even from complex layouts.
- Target connector: The agent performs the right actions in anthropic (claude) based on event context.
- Automated actions: Data extraction from PDF, images, and text. Conversion to JSON, CSV, or SQL formats. Automated data validation. Multilingual document support.
- Native governance: Swiftask ensures every extraction is logged for quality control and full traceability.
Each action is contextualized and executed automatically at the right time.
Each Swiftask agent uses a dedicated identity (e.g. agent-anthropic-(claude)@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 choose Swiftask for your extractions
Increased precision
Claude excels in contextual understanding, significantly reducing error rates compared to traditional OCR.
Unlimited scalability
Process hundreds or thousands of documents simultaneously without scaling headcount.
Total flexibility
Instantly adapt your agents to new document types without IT development.
Native integration
Extracted data is immediately available in your business applications via Swiftask connectors.
Data privacy
Swiftask adheres to the strictest security standards for processing your sensitive documents.
Security and compliance
Swiftask applies enterprise-grade security standards for your anthropic (claude) automations.
- Secure processing: Your documents are processed in an isolated and highly secure environment.
- GDPR compliance: Swiftask ensures full compliance with data protection regulations during extraction.
- Access control: Granular control over who can configure and access extraction agents.
- Traceability: Every extraction action is audited to ensure complete compliance.
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 | 10-15 minutes | < 30 seconds |
| Error rate | 5-10% | < 0.5% |
| Team productivity | Low (manual entry) | High (AI validation) |
Take action with anthropic (claude)
Eliminate manual data entry and human error. Automate your document processing workflows.