Question: I need a tool that can automatically convert unstructured data from various sources into SQL tables for analysis.

If you're looking for a service to turn unstructured data from different sources into SQL tables you can analyze, TABLUM.IO is a good option. This data ingestion SaaS service turns raw unstructured data into analytics-ready SQL tables, automatically figuring out schema, denormalizing data and packaging it into a live SQL database. It can handle a variety of formats, including CSV, XML, JSON, MS Excel and Google Sheets, and helps you sidestep data engineering hassles with its streamlined data preparation process.

Another strong contender is Airbyte, an open-source data integration service that lets you move data from more than 300 structured and unstructured data sources to many destinations. It's got features like automated schema evolution, custom connectors and integrations with services like OpenAI and dbt, which makes it a good option for companies that need powerful, flexible and scalable data integration.

If you're looking for a more complete service that combines AI and data management, Dataloop lets you curate data, manage models, orchestrate pipelines and get human feedback to speed up AI application development. It can handle a range of unstructured data, including images, videos and text, and integrates with a range of cloud services, so it's a good option for those who want to improve collaboration and speed up development.

Last, Parsio is an automated data extraction service that uses AI and OCR technology to extract structured data from unstructured documents like emails and PDFs. It can send data to destinations like Google Sheets, databases and CRM systems, and can handle multiple languages and file formats. Parsio's no-coding interface and multilanguage support make it a good option for automating data extraction tasks.