If you're looking for another Apryse alternative, ABBYY is a good option. The company's digital transformation platform uses AI, NLP and OCR for intelligent document processing and extraction. ABBYY supports many file formats and has a marketplace for custom-built AI models, so it's adaptable to a wide range of business needs. The platform can automate tasks like accounts payable and customer onboarding, delivering accurate and actionable insights.
Another good option is Document AI by Playmaker. This system automates document-based processes by extracting, validating, and using data through a single workflow. It can handle many file types and retrieve documents by email, API or manual upload. Document AI validates extracted data with custom rules, and it can integrate with more than 300 other systems, so it's a good option for automating workflows.
Cradl AI is another option. It automates internal document workflows by using AI to extract data from unstructured documents. Cradl AI supports multiple languages and has features like trainable AI models, human-in-the-loop review and multi-tool integration. The platform can automate tasks like invoice processing and bill of lading data extraction, and it has a secure and user-friendly interface.
If you're looking for a more specialized solution, you might want to check out Extracta.ai. This platform is geared for automated data extraction from unstructured documents like PDFs, images and scans. With customizable templates and API integration, Extracta.ai is particularly useful for finance, human resources and law. It uses a pay-per-request pricing model and offers a free trial, so it can be a relatively affordable option for automating document data extraction.