ChatDOC Howto

ChatDOC is an AI-powered document reading assistant that allows users to chat with PDFs and other document formats to quickly extract, analyze, and summarize information.
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How to Use ChatDOC

Sign up for a ChatDOC account: Go to the ChatDOC website and create a free account to get started.
Upload a document: Upload a PDF, DOC, DOCX, or other supported file format to ChatDOC. Free accounts can upload up to 2 documents with a 20 page limit per file.
Ask questions about the document: Use the chat interface to ask questions about the content of your uploaded document. ChatDOC will provide answers with citations from the document.
Select specific text or tables: You can highlight specific sections of text or tables in the document and ask ChatDOC to analyze just those selections.
Start a thread for deeper analysis: Use the threading feature to ask follow-up questions and dive deeper into specific topics from the document.
Query across multiple documents: If you have multiple related documents uploaded, you can ask questions that span across all of them to get comprehensive answers.
Check citations and sources: Click on the page references or footnotes provided with ChatDOC's answers to verify the accuracy and see the original context in the document.
Use browser extension (optional): Install the ChatDOC browser extension for Chrome or Edge to quickly upload and chat with PDFs while browsing the web.

ChatDOC FAQs

ChatDOC is an AI-powered file-reading assistant that allows users to chat with documents, quickly extract information, and get instant answers with cited sources. It can understand texts, tables, and images in various document formats like PDFs, Word docs, and more.

ChatDOC Monthly Traffic Trends

ChatDOC experienced a 2.3% decline in traffic, reaching 201K visits. Without recent product updates or significant market activities, this slight decline likely reflects normal market fluctuations. The 3.5 out of 5 stars review in September 2024 highlighted its useful features but also noted limitations, which might have impacted user retention.

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