Every company relies on information, but the most successful companies convert unstructured information into structured data and use data-driven decision-making to progress. Data extraction is the process of retrieving data from any unstructured source into a structured format for further analysis. AI-based data extraction tools are available in the market to automate this process. The top 10 best AI data extraction tools include Nanonets, Airbyte, Hevo, Super.ai, Rossum, Improvado, Matillion, Octoparse, Mindee, and Stitch. When selecting a data extraction tool, consider factors such as sources of data, data format, volume, frequency, user-friendly interface, integration capabilities, configurability, validation of data quality and accuracy, automation and scheduling, security and compliance, cost, and total cost of ownership. Ultimately, the best data extraction software should be chosen according to specific needs to realize the full potential of data at a company.