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FAQs

Find answers to common questions about the GenAI IDP Accelerator for Terraform. If you don't find your answer here, please check our troubleshooting guide or open an issue in the repository.

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Most Common Questions

What is the GenAI IDP Accelerator?

The GenAI IDP Accelerator is a collection of Terraform modules that enables rapid deployment of Intelligent Document Processing solutions on AWS. It combines services like Amazon Textract, Amazon Bedrock, and other AWS AI services to create end-to-end document processing workflows.

What document formats are supported?

The accelerator supports:

  • PDFs (text and image-based)
  • Images (JPEG, PNG, TIFF)
  • Office documents (Word, Excel, PowerPoint)
  • Text files
  • Handwritten documents

Which AWS regions are supported?

The accelerator works in regions where all required services are available. Recommended regions include:

  • us-east-1 (N. Virginia) - Best service availability
  • us-west-2 (Oregon)
  • eu-west-1 (Ireland)
  • ap-southeast-1 (Singapore)

How long does deployment take?

  • Basic pipeline: 10-15 minutes
  • Advanced workflow: 20-30 minutes
  • Enterprise setup: 45-60 minutes

Can I customize the processing logic?

Yes! The accelerator is designed to be highly customizable. You can:

  • Modify existing Lambda functions
  • Add custom processing steps
  • Integrate with external APIs
  • Create custom AI prompts
  • Add business-specific logic

How do I get support?

  1. Check this FAQ and documentation
  2. Review the troubleshooting guide
  3. Search existing issues in the repository
  4. Open a new issue with detailed information

Getting Started

Common Issues

Customization

Can't Find Your Answer?

If your question isn't answered here:

  1. Search the documentation - Use the search function to find relevant information
  2. Check examples - Review our examples for similar use cases
  3. Review deployment guides - See our deployment guides for detailed instructions
  4. Open an issue - Create a detailed issue in the repository

Contributing to FAQs

Help improve this FAQ by:

  • Suggesting new questions based on your experience
  • Providing better answers to existing questions
  • Sharing solutions to problems you've encountered
  • Contributing examples and use cases

See our contributing guide for more information.