Unstructured — ETL extraction for LLM data pipelines

Unstructured is a data extraction platform that converts messy documents into AI-ready files for enterprise teams

Unstructured is a data processing platform that converts raw, unstructured documents into clean, LLM-ready formats for artificial intelligence applications. It is designed for enterprise data teams and business owners who need to unlock information trapped in PDFs, slide decks, images, and HTML files. By automating the extraction and transformation process, this tool ensures that proprietary data becomes a usable asset for generative AI models and vector databases. The platform provides a library of pre-built connectors that link directly to your existing data silos and storage solutions. Unstructured removes messy artifacts, headers, and footers from documents, delivering high-quality JSON outputs that maintain the original context and layout of the information. This level of precision is critical for building accurate Retrieval Augmented Generation (RAG) systems that your customers or employees can rely on in 2026. Businesses use Unstructured to bypass the manual labor of data cleaning and custom scripting. On surfai.app, we see companies utilizing this technology to feed knowledge bases, automate legal document review, and structure financial reports for analysis. The system handles complex elements like tables and nested lists without losing data integrity. Pricing follows an enterprise model with options for API-based usage or hosted instances. You can start with their open-source libraries or move to the serverless API for higher volume and more complex document layouts.

• Pricing: freemium

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