TableBits is a web-based tool that allows users to automatically extract table data from PDFs. By leveraging advanced algorithms, the software can detect and convert tables from documents into usable CSV files. This helps financial professionals such as accountants, analysts, and investors, saving significant time and reducing manual entry errors.

AI Web Scraper automates the process of collecting and structuring data from websites by combining a headless browser for rendering JavaScript with powerful AI-driven parsing. Users supply a URL and optional custom prompts, and the tool fetches the page, renders dynamic content, and feeds the result into a large language model to extract tables, lists, metadata, summaries, or any user-defined information. Output is provided in clean JSON, ready for downstream processing or integration into data pipelines.

DALI provides a modular, extensible SDK for building document AI agents capable of ingesting images, PDFs, and scanned files. It integrates OCR engines and vision-language models to detect layout elements, extract tables, and answer user queries. Developers can customize pipelines, plug in different LLMs, and deploy interactive web or command-line interfaces. With built-in support for caching, batching, and multi-model orchestration, DALI accelerates document understanding tasks with minimal code.