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Chat with your PDFs and documents — summaries and answers with sentence-level citations back to the exact source.

Task: Searching & ResearchingUse case: Ai powered document analysis and q a across pdfs and multiple file formats

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Summarized from 3 community tutorials · July 2026

Access: Free tier
API key: Bring your own
Runs on: Web app · API
You’ll need: ChatDoc account (sign up)
PDF document to upload
ChatDoc API token (for API use)
OpenAI API key (for automation via Make.com)
Airtable + Make.com accounts (for automation)
Skill level: Developer — code or a terminal

Summarized from 3 community tutorials · July 2026

Chats with an uploaded PDFUpload a PDF and ask natural-language questions, getting summaries and answers with inline citations back to the source pages.
OCRs scanned/image-only PDFsProcesses non-vectorized, raster PDFs (e.g., a pitch deck saved as flattened images) via OCR before answering questions on it.
Extracts facts through a question-answer APIREST endpoints upload a document, poll processing status, then submit per-document questions and return cited text answers programmatically.
Summarizes/draws conclusions from a selectionSelect a specific paragraph or table in the document and ask for a summary or conclusion scoped to just that selection.
Wires into no-code automationsUpload, status-poll, and query calls can be chained into an Airtable + Make.com scenario to auto-extract structured facts from batches of PDFs.

Summarized from 3 community tutorials · July 2026