Move your team from PDF.ai to ChatPDF.
Each person gets a short interview, then a personalized step-by-step guide showing exactly where their saved work, prompts, and projects land in ChatPDF — and the few things that need a manual step, walked through. You send one invite; nobody becomes the help desk, and nothing in PDF.ai is changed or cancelled. Want to see where you’re paying for both first? Run the free audit.
Both products anchor AI answers to the source document rather than open-ended generation, and both surface inline citations that let you trace claims back to the original text. In ChatPDF, clicking a citation jumps to the cited page in the side-by-side PDF view. In PDF.ai, answers are linked to the relevant document section. When migrating, the citation behavior is native and automatic on both sides — no configuration is needed. Simply upload your document on the destination product and ask the same questions; citations will appear inline in the response. If you rely on ChatPDF's page-level citation granularity for auditing purposes, verify that PDF.ai's link granularity meets your needs before decommissioning ChatPDF.
- Warning: ChatPDF citations are described as page-level references that jump to a specific page in the document view; PDF.ai citations are described as links to document sections, and the exact granularity (page vs. passage) has not been independently confirmed from a live first-party source.
- Warning: Citation fidelity depends on how well the underlying LLM is prompted and on document quality; scanned PDFs or complex layouts may produce weaker citation links on either platform.
Both products expose REST APIs for programmatic document workflows, but they differ in scope. ChatPDF's API is chat-focused: add a source by URL (POST /v1/sources/add-url) or file upload (POST /v1/sources/add-file) to get a sourceId, then query it (POST /v1/chats/message) passing conversation history each time since the endpoint is stateless. PDF.ai's API is broader: it supports parse (PDF to structured markdown/JSON with layout detection and OCR), extract (pull specific fields via custom prompts, each linked to its source segment), split, and chat-with-document(s). To migrate a ChatPDF chat-API integration to PDF.ai, replace ChatPDF's add-source call with pdf.ai's chat endpoint authenticated with a pdf.ai API key, then replace the chat call. If you also need extraction or parsing, those are native to pdf.ai's API but absent from ChatPDF's. Update your authentication header (ChatPDF uses x-api-key; pdf.ai uses an API key with its own header convention per the api-hub docs). Usage billing differs: ChatPDF API limits mirror the web plan (2,000 pages, 32 MB per file); PDF.ai API is billed separately in credits per page, with a free tier for testing.
- Warning: ChatPDF's chat endpoint is stateless — callers must resend full conversation history on every request; verify whether pdf.ai's chat API is stateful or also stateless before porting client code.
- Warning: PDF.ai's API is billed in credits per page on a separate credit plan, independent of the web subscription; ChatPDF API usage is governed by the same plan limits as the web app ($19.99/month Plus).
- Warning: PDF.ai's parse and extract API capabilities (OCR, structured output, field extraction) have no ChatPDF equivalent — these are additive capabilities only available when moving to pdf.ai, not on the reverse migration.
Both tools share the same core workflow: upload a document, then ask questions in a chat panel that answers from the file's contents rather than general knowledge. To move from ChatPDF to PDF.ai, export or re-download any source PDFs you have stored in ChatPDF (there is no bulk-export of conversation history), then upload them to PDF.ai's web app at pdf.ai. The chat interface is nearly identical — a side-by-side document-plus-chat layout. In the opposite direction, ChatPDF accepts file uploads or a public URL, so paste the PDF URL or upload the file as you would with PDF.ai. Both tools support PDFs natively; ChatPDF additionally accepts .doc/.docx, .ppt/.pptx, .md, and .txt, while PDF.ai handles scanned/image PDFs through built-in OCR, which ChatPDF does not advertise. Set up a new account on the destination product and re-upload your commonly used documents.
- Warning: ChatPDF supports non-PDF formats (Word, PowerPoint, Markdown, plain text) natively; PDF.ai's web app is PDF-focused, so non-PDF source files must be converted before uploading.
- Warning: PDF.ai applies OCR to scanned/image PDFs automatically; ChatPDF does not advertise OCR support, so scanned-only PDFs may yield poor results there.
- Warning: Neither product exports conversation history in a portable format, so chat logs from one tool cannot be replayed in the other.
ChatPDF groups documents into folders so questions span multiple PDFs in a single conversation. PDF.ai supports chatting across multiple documents at once through its web app without a separate folder concept. To migrate a multi-document workflow from ChatPDF to PDF.ai, upload all the PDFs that were in your ChatPDF folder into your PDF.ai library, then start a chat session that references all of them — PDF.ai's multi-document chat pulls answers across the full set. Going the other way, create a new folder in ChatPDF, upload the documents that were in your PDF.ai session, and chat with the folder. Per-file size limits differ: ChatPDF Plus allows up to 2,000 pages and 32 MB per file; PDF.ai's limits vary by plan and may be lower on the Hobby/Pro tiers.
- Warning: ChatPDF's folder-level multi-document chat is an explicit product feature with a dedicated UI; PDF.ai's multi-document support is described in marketing copy but the exact UI flow for selecting multiple documents simultaneously is not fully detailed in available docs — verify before committing.
- Warning: ChatPDF Plus allows up to 2,000 pages and 32 MB per file; PDF.ai document and page limits vary by tier and may be lower on mid-range plans, which could block large multi-document sets.
- Warning: Multilingual document support (any language in, any language out) is documented for ChatPDF; PDF.ai does not explicitly advertise equivalent multilingual coverage.