Airparser is a powerful document parsing and data extraction platform that leverages GPT technology to automatically extract structured data from various document types. Relevance AI enhances this functionality by enabling the creation of AI Agents that can intelligently process and act on the extracted data.
Airparser utilizes GPT technology for advanced document parsing and data extraction. With Relevance AI, you can leverage this capability to create intelligent AI Agents that automate and optimize your data workflows.
Intelligent Document Orchestration
The AI agent gains the ability to autonomously process, extract, and structure data from complex documents across multiple formats.
Workflow Acceleration
Seamless automation of document-heavy processes by combining AI decision-making with Airparser's extraction capabilities.
Precision Data Structuring
Transform unstructured information into clean, structured data formats with near-perfect accuracy.
Relevance AI seamlessly integrates with Airparser to enhance your document processing 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
Airparser is a robust document parsing and data extraction platform that utilizes GPT technology to automatically extract structured data from various document types. This integration allows developers to effortlessly upload documents, parse content, and retrieve extracted data through a RESTful API interface.
With Airparser, you benefit from GPT-powered document parsing, automated data extraction, and the flexibility of custom extraction schemas. The integration supports batch processing capabilities, making it ideal for handling large volumes of documents efficiently.
To get started, ensure you have an active Airparser account along with the necessary OAuth credentials and API access tokens. Your environment should support Node.js 12.x or higher, and you should have at least 1GB of RAM for processing tasks.
Once your setup is complete, you can install the required dependencies and configure OAuth authentication to initialize the API client. This allows you to upload and parse documents seamlessly, extract data, and make custom API calls as needed.
In case you encounter any issues, common troubleshooting steps include verifying OAuth credentials, ensuring file accessibility, and checking for processing timeouts. Implementing best practices such as error handling, rate limiting, and file management will further enhance your integration experience.
For more detailed information, refer to the API documentation, support portal, and sample code repository provided by Airparser. This guide serves as a foundational resource for implementing Airparser integration, with advanced features available in the comprehensive API documentation.
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.
To get the most out of the Airparser + Relevance AI integration without writing code:
- Start with a clear extraction schema: Define your custom extraction schema clearly to ensure accurate data parsing.
- Use batch processing: Take advantage of Airparser's batch processing capabilities to handle multiple documents efficiently.
- Connect carefully: Ensure you have the correct OAuth credentials and permissions set up during integration.
- Test with sample documents: Upload and parse sample documents first to validate your setup before processing real data.
- Monitor API usage: Keep an eye on your API usage limits to avoid throttling and ensure smooth operations.
