What is ChatDoc?
ChatDoc is a document AI platform that lets users upload files and interact with them through natural language conversation. Users can ask questions, extract data, summarize content, and analyze tables or text across one or multiple documents at once. It functions as an AI-powered reading assistant for PDFs, Word files, ePubs, and scanned documents, with built-in citation tracing so users can verify every answer against the original source material.
Features & Benefits
- Document summarization – Generate concise summaries and extract key points from uploaded files.
- Data and information extraction – Locate specific data points, quotes, figures, or concepts within documents using natural language queries.
- Table and text analysis – Perform in-depth analysis of tables, charts, and text passages to interpret trends or findings.
- Content rewriting – Rephrase or rewrite paragraphs for clarity, tone adjustment, or alternative perspectives.
- Multi-document querying – Upload multiple files or entire folders and ask questions across all documents simultaneously.
- OCR processing – Convert scanned documents and image-based PDFs into searchable, queryable text.
- File translation – Translate document content across supported languages including English and Chinese.
- Image analysis – Analyze images within documents (available as a paid add-on).
- Text selection queries – Highlight specific text or tables within a document and ask the document AI to explain, analyze, or summarize the selected content.
- Threaded follow-up questions – Ask follow-up questions within conversation threads to maintain context across related queries.
- Citation tracing and verification – Verify answers through page number citations, reference citations, highlighted text jumps, and highlighted numerical values that link back to the original document.
- Multi-language support – Interact with documents in multiple languages.
- Broad file format support – Upload and process PDF, Word (.doc/.docx), Markdown, ePub, TXT, and scanned documents.
Real-World Applications
Researchers and students working with lengthy academic papers or technical reports may find ChatDoc useful for quickly locating relevant findings without reading entire documents. A graduate student reviewing dozens of journal articles for a literature review could upload them all at once, ask targeted questions across the collection, and trace each answer back to its source page. This document AI approach can significantly reduce the time spent on manual reading and note-taking.
Business professionals who regularly handle contracts, financial reports, or compliance documents can use ChatDoc to extract specific clauses, analyze revenue tables, or summarize quarterly earnings across multiple files. Someone preparing for a board meeting might upload several reports and ask questions like “what was the year-over-year change in operating costs” to get cited answers drawn directly from the source data.
Legal teams and consultants dealing with large volumes of case files or regulatory documents may benefit from the multi-document query and OCR capabilities. Scanned contracts or older PDF documents that lack selectable text can be processed and made searchable, allowing users to interact with previously inaccessible content. The citation tracing feature helps maintain an auditable trail when document AI-generated answers need verification.
Developers building document-heavy applications — such as customer support knowledge bases, internal search tools, or research platforms — can integrate ChatDoc’s functionality through its API. The PDF Parser API in particular may appeal to teams that need to convert unstructured PDF content into structured JSON for downstream processing. This makes the document AI capabilities accessible beyond ChatDoc’s own interface, enabling custom workflows tailored to specific business needs.
