If you're looking for a Document AI alternative, ABBYY is another major digital transformation platform that uses AI, NLP and OCR to automate business processes, including intelligent document processing and data extraction. It can handle many formats and languages, and its marketplace offers custom-built AI models for specific industries, so you can expect good capture accuracy and useful insights.
Another good option is Cradl AI, which automates internal document workflows by extracting data from unstructured documents with AI. It can handle multiple languages and offers human-in-the-loop review and correction, so it's good for tasks like invoice processing and receipt scanning. Cradl AI also places a priority on security and compliance, hosting on AWS and using encryption and access controls.
If you're focused on financial documents, Ocrolus offers high-accuracy AI-driven document analysis. It classifies, extracts and detects financial documents so lenders can assess risk and avoid fraud. With machine learning-based classification and human validation, Ocrolus can extract data from a wide variety of document types, including bank statements and paystubs, so it's good for industries like lending and forensic accounting.
Last, Nanonets is an AI-powered automation platform that extracts insights from unstructured data in many sources, including documents and emails. It offers sophisticated AI-driven data extraction and smart decision engines for fast file review and validation. Nanonets protects data confidentiality and integrity, and it's certified to comply with regulations like GDPR and HIPAA, so it's good for industries like finance and healthcare.