Question: Do you know of a platform that can extract data from unstructured documents and convert them into usable, structured data for our workflows?

If you're looking for a platform to pull data out of unstructured documents and transform it into structured data that can be used in your workflows, Parsio could be the answer. Parsio uses AI and OCR to pull data from emails, PDFs and other files and send it to destinations like Google Sheets, databases, CRM systems and more than 6,000 other apps. With features like table extraction, multilanguage support and a 5-minute setup, Parsio can automate data extraction and free people from manual data entry work, increasing productivity and reducing errors.

Another good option is Nanonets, an AI-based automation platform that can extract insights from a variety of unstructured data sources like documents, emails and tickets. Nanonets offers sophisticated AI-based data extraction, data enrichment for better insights, decision engines and flexible export options to CRMs, databases and more. It's geared for industries like finance, manufacturing and health care, and has data protection features like GDPR and HIPAA compliance.

DATAKU is another option. It uses Large Language Models to transform unstructured text and documents into structured data at large scale. With features like Document Insights and Text Intelligence, DATAKU can do things like extract resumes, analyze customer data and process financial documents. It offers different pricing plans for different needs, so it's a good option for automating and processing data.

Finally, Extracta.ai is an automated data extraction service for unstructured documents like PDFs, images and scans. It offers custom templates, API integration and GDPR compliance. It's designed to speed up operations in finance, human resources and law by automating workflows and avoiding human error.