Parseur is a powerful data extraction tool that automates the process of extracting information from various document formats.
Enhance your data processing capabilities with AI Agents that can analyze and act on extracted information in real-time.
Parseur excels at extracting structured data from unstructured documents. Relevance AI transforms that data into intelligent action with AI Agents that can analyze, process, and automate complex workflows.
Seamless Data Orchestration
Effortlessly connect and manage data flows between systems for enhanced efficiency.
Intelligent Insights Generation
Leverage advanced analytics to extract actionable insights from structured data.
Real-time Decision Support
Enable immediate access to critical information for faster, informed decision-making.
Relevance AI gives you access to a wide variety of Parseur data extraction tools within your automated workflows.
What you’ll need
You don't need to be a developer to set up this integration. Follow this simple guide to get started:
- A Relevance AI account
- An Airtable account with access to the base and table you'd like to use
- Authorization (you'll connect securely using OAuth—no sensitive info stored manually)
Security & Reliability
The integration uses secure OAuth authentication, ensuring only authorized workflows access your Parseur data. Relevance AI handles API operations through Parseur's endpoints seamlessly—managing document parsing, data extraction, and template management automatically.
Built-in validation ensures accurate data extraction from your documents, with consistent formatting across all parsed results.
No training on your data
Your data remains private and is never utilized for model training purposes.
Security first
We never store anything we don’t need to. The inputs or outputs of your tools are never stored.
Best Practices for Non-Technical Users
To get the most out of the Parseur + Relevance AI integration without writing code:
- Optimize document templates: Create precise parsing rules and document templates in Parseur first.
- Structure data fields: Define clear field mappings between Parseur extractions and Relevance AI schemas.
- Use webhooks wisely: Configure real-time data flow by setting up reliable webhook endpoints.
- Validate parsing: Test document parsing accuracy with sample files before automating.
- Monitor processing: Keep track of parsing success rates and API response status codes.
