Extracta.ai

Automate data extraction from unstructured documents, including CVs, invoices, and contracts, with customizable templates and no training required.
Automated Data Extraction Document Automation API Integration

With Extracta.ai, you can automate the process of extracting data from unstructured documents, freeing up time and resources from manual processing. The platform can extract data from a wide variety of documents, including CVs, invoices, contracts, and receipts, with no training required.

Some of the key features of Extracta.ai include:

  • Automated Data Extraction: Create a custom template and start extracting data in seconds.
  • Multi-Document Support: Supports a wide range of document formats, including PDF, images, scans, and digital documents.
  • No Training Required: Define fields and start processing documents immediately.
  • Customizable Templates: Create custom templates for specific document types.
  • API Integration: Seamlessly integrate with existing systems and workflows.

Extracta.ai can help businesses and individuals in a variety of industries, including finance, HR, and law, to work more efficiently. For example, it can quickly extract relevant information like dates and amounts from invoices, extract relevant skills from resumes, or streamline the processing of legal documents.

The platform is built with security in mind, with data fully encrypted, never used for training, and stored securely. Extracta.ai also complies with GDPR regulations, ensuring that user data is protected according to the latest standards.

Extracta.ai is priced on a pay-per-request basis, so users can scale up or down as needed. A free trial is also available, so you can test the platform before committing.

If you're looking to automate document data extraction for your business or personal use, Extracta.ai can help streamline workflows, minimize manual errors, and boost productivity. Check out their website to learn more about how Extracta.ai can help with your specific document management needs.

Published on June 14, 2024

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