DATAKU is an AI-driven data extraction platform designed to help users pull structured information from a variety of unstructured sources, including PDFs, websites, and documents. The platform aims to simplify the data collection process by allowing users to define extraction templates and automate the retrieval of specific data fields. It targets individuals and teams who need to gather and organize data at scale without relying on manual entry or custom development. DATAKU positions itself as a no-code or low-code solution, making it accessible to non-technical users while still offering capabilities relevant to data-intensive workflows. The tool can be used for tasks such as web scraping, document parsing, and data aggregation, with results typically exportable in structured formats for downstream use.
Target audience and deployment
- Solo / Freelancer
- Startup
- SMB
- Cloud
Key features
Use cases
- Extract data from PDF documents
- Scrape structured data from websites
- Parse unstructured documents into structured formats
- Automate repetitive data collection workflows
Best for
- Freelancers who need to extract and organize data from documents without coding
- Small business owners who need to automate data collection from websites or files
- Researchers who need to gather structured data from multiple unstructured sources