Convert PDF to JSON is a tool that seamlessly converts PDF documents into structured JSON data. Users can upload their PDFs, select or create schemas, and convert their files effortlessly. This tool supports flexible schemas, API integration, and customizable outputs, making it a perfect solution for varying industry needs. It is ideal for HR, finance, healthcare, and legal, streamlining workflows and improving data integration.

JsonLLM provides an efficient solution for structured data extraction and API generation. By utilizing JSON schemas, users can automatically format data in a consistent structure, ensuring reliable integrations and data transfers. It's designed for those who require precise data manipulation and want to enhance their outputs with structured formats. Perfect for transforming unstructured data into valuable, usable JSON output, JsonLLM helps in reducing the complexity of creating APIs and working with large datasets.

ScrapeGraphAI is a powerful API designed to transform any website into clean, organized data. It integrates seamlessly with AI agents, enabling structured JSON output with natural language instructions. Specifically built for scalable and reliable data collection, it's adaptable to website changes and supports various use cases including e-commerce, social media, and dynamic web apps. The setup is lightning-fast and requires no complex configuration, making it accessible for both enterprises and startups.

UseScraper is a comprehensive web crawling and scraping tool that allows users to extract content from websites quickly and efficiently. Built from the ground up for speed, it supports various output formats like plain text, markdown, and JSON. Whether you need data from a few pages or thousands, UseScraper can handle your requirements, making it an ideal solution for data extraction tasks.

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.

DocumentAI-Backend is a lightweight backend framework that automates extraction of text, form fields, and structured data from documents. It offers REST API endpoints for uploading PDFs or images, processes them via Google Document AI with OCR fallback, and returns parsed results in JSON. Built with Python, FastAPI, and Docker, it enables quick integration into existing systems, scalable deployments, and customization through configurable pipelines and middleware.