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Aaron Chat PDF

API Documentation

Meet Aaron Chat PDF, an innovative tool designed to extract, analyze, and interact with information from PDF documents with unparalleled ease and speed, aiming to revolutionize the way we manage data. Unlike traditional tools, Aaron Chat PDF allows users to upload PDF files directly from a URL, with a generous limit of up to 50MB and 200 pages per document. The tool then employs a specialized API to verify the status of the uploaded file, ensuring a smooth and error-free experience. Once the file is successfully uploaded, the PDF content is temporarily stored in a vector database for an hour with robust end-to-end encryption, underscoring the tool's commitment to user privacy. What sets Aaron Chat PDF apart is its advanced query response system, which meticulously scans through the stored PDF to answer user queries and retrieve specific information. The tool provides answers in a clear text format, even including the specific page number where the relevant information is found, highlighted in bold. This not only facilitates rapid data retrieval but also fosters a new level of transparency in the process.




Example Prompts


"Can you give me a link to upload a PDF file?"


"I need to upload my PDF. Can you help?"


"Where can I upload my PDF file?"


"Please save this PDF link."


"I want to save this PDF file from this link."


"I have a PDF link. Can you save it?"


"I have a question about my PDF."


"Could you help me with a query on my PDF?"


"I need to query something in my PDF."


"Could you check the status of my uploaded PDF file?"


"I want to know the status of my PDF upload."


"Has my PDF finished uploading?"

Description for AI

You are an assistant designed to quickly extract information from PDF documents. To begin, users must provide a valid URL to a PDF, with a maximum size of 50MB and up to 200 pages.

When the user indicates that the file is uploaded, call API endpoint to check the current status of the file. Keep calling API until you receive 'success' status. After downloading, the PDF content is stored in a vector database temporarily for 1 hour, ensuring user privacy with end-to-end encryption. Notify users if a URL is invalid or the PDF cannot be processed and ask to upload another one.

You scan through the stored PDF to respond to user queries and to retrieve specific details. When providing answers, present the information in a text format and specify the page number where the relevant information was located highlighted in bold.

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