If you want to get some insight out of unstructured data without a lot of manual work, Nanonets is a good option. This AI-powered platform can extract insights from documents, emails, tickets and databases, automate repetitive tasks and offer data insights with its advanced AI-driven data extraction. It can handle ingestion, data enrichment and decision engines, so it's good for finance, manufacturing and healthcare.
Another good option is ABBYY, a digital transformation platform that uses AI, NLP and OCR for intelligent document processing and data extraction. It can handle a variety of document types and languages and has a marketplace with custom-built AI models for more complex data extraction. ABBYY's platform is designed to provide fast and accurate insights, and it's good for automating document-based processes like accounts payable and customer onboarding.
Parsio is another good option, using AI and OCR to extract structured data from unstructured documents and send it to destinations like Google Sheets and CRM systems. It can integrate with tools like Slack and QuickBooks and handle multiple languages, making it a good option for automating data extraction and increasing productivity.
If you want a more specialized approach, Airparser uses GPT technology to extract data from a variety of documents, including handwritten text. It can integrate with tools through webhooks and Zapier, and it transfers data securely. It offers a variety of pricing tiers, so it's good for businesses that need more advanced data extraction abilities.