AI Textraction is a powerful text extraction and entity recognition service that allows developers to extract custom-defined entities from unstructured text data. With Relevance AI, you can leverage this service to automate data extraction and gain actionable insights effortlessly.
AI Textraction specializes in extracting custom-defined entities from text, while Relevance AI empowers these capabilities with intelligent AI Agents that can automate and scale data processing tasks effectively.
Intelligent Document Orchestration
The AI agent gains the ability to autonomously classify, route, and process diverse document types with precision.
Enhanced Data Accuracy
Integration enables the agent to extract information with 99%+ accuracy, minimizing errors in data processing workflows.
Context-Aware Processing
Enables the agent to understand document context and relationships, delivering more meaningful data extraction results.
Relevance AI seamlessly integrates with AI Textraction to enhance your workflows by automating the extraction of key data points from unstructured text.
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
AI Textraction is a robust text extraction and entity recognition service that empowers developers to automate the extraction of specific data points from unstructured text. With a simple API interface, you can seamlessly extract custom-defined entities such as names, dates, and prices.
The integration utilizes secure OAuth authentication, ensuring that only authorized applications can access your data. AI Textraction manages API operations (like POST requests for entity extraction) in the background, allowing you to focus on your application without worrying about errors or formatting issues.
Built-in validation and error handling mechanisms ensure that your workflows run smoothly, even when dealing with varying data formats. For instance, you can easily validate input text and entity arrays to prevent common issues before making API calls.
Additionally, the integration supports flexible data processing, enabling you to customize your extraction requests according to your specific needs. Whether you are extracting first names or other custom entities, AI Textraction provides a reliable solution for your text extraction requirements.
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 AI Textraction + Relevance AI integration without writing code:
- Define your entities clearly: Specify the entities you want to extract, such as names, dates, or prices, to ensure accurate results.
- Use sample data: Test the integration with sample text to validate your entity extraction before applying it to larger datasets.
- Monitor API usage: Keep an eye on your API call limits to avoid hitting rate limits and ensure smooth operation.
- Implement error handling: Set up error handling to manage authentication errors or invalid requests gracefully.
- Validate inputs: Always check that your input text and entity arrays are correctly formatted to prevent request failures.
