Outgrew chat-with-PDF?Here's what comes next.
ChatPDF, ChatDOC, and Humata each do one thing well: ask a question of one document. When the work needs more than that (many documents, real deliverables, drafts you'd put your name on), the toolset has to be different.
No credit card. Free tier covers everyday Q&A.
One PDF in, an answer out, until that stops being enough.
ChatPDF and its cluster (ChatDOC, Humata, similar) work for one mental model: drop in a PDF, ask a question, get an answer. Students, casual readers, first-time AI-for-docs users: that's a clean fit.
The ceiling shows up when you have 50 contracts instead of one, when you need a spreadsheet of extracted fields instead of a prose answer, when you're drafting a memo and want the AI editing alongside you. None of that is what these tools were built to do.
Co-work: the move chat-with-PDF can't make.
Co-work is a chat that edits the document with you. You're drafting a memo or a policy in a canvas editor; the AI sees what you're writing, suggests changes, attaches citations to existing sources as you go. There's no equivalent in ChatPDF, ChatDOC, or Humata: they don't have an editor, they don't have a canvas, they don't have a draft to operate on. They're conversational tools; Co-work is collaborative editing.
ChatPDF / ChatDOC / Humata
docAnalyzer
Multi-document datasets
One document per chat, mostly. Some support a few files, none support persistent labeled collections.
Workspaces with documents, notes, labels. Datasets of 50+ sources are routine; persistent and re-usable across chats.
Batch workflows
None.
Six workflows (Summarizer, Data Extractor, Individual, Blueprint, SEO Metadata, Humanizer) run across every source in a dataset and return a structured result.
Reusable file outputs
Text answers. No native PDF, spreadsheet, chart, or diagram generation.
The model produces real PDFs, XLSX, HTML, charts, diagrams: downloadable as chips, reusable across turns.
Co-work (collaborative editing)
Not supported. Conversational only.
A canvas editor where the AI drafts and refines a note alongside you, with citations attached as you write.
Citation discipline
Citations are conversational: the answer references the document loosely.
Cited claims are clickable references that open the source at the exact page or section, enforced by the engine.
In their own words
“I have added and analyzed hundreds of documents using this program. The ability to add both large numbers of documents and very large individual documents is awesome.”
Scott Faulds (Product Hunt)
What outgrown-chat-with-PDF users push on hardest.
ChatPDF is $5/month and works for what I need.
When 'what I need' stays at one-PDF-at-a-time, ChatPDF is the right tool. When the deliverable is a memo, a spreadsheet, a draft you're co-editing, the toolset stops being optional. docAnalyzer's free tier covers everyday Q&A; paid tiers unlock everything ChatPDF doesn't do.
I just want a simple chat with one document.
You can do that on docAnalyzer too: drop one PDF, ask. The complexity is underneath, optional when you want it. If your workflow is genuinely just one-doc-at-a-time forever, ChatPDF is simpler. When it changes, you don't have to migrate.
Switching tools means losing my old chat history.
Honest: yes. The starting cost of switching tools is real. The framing question is whether what's blocked in your current tool is worth that one-time cost. For most people who try docAnalyzer alongside their current chat-PDF tool, the answer becomes obvious within a week.
Frequently Asked Questions
Can docAnalyzer handle more than one PDF at a time?
Yes, and that is the main reason people move over. ChatPDF, ChatDOC and Humata are built around one document per chat. docAnalyzer works on workspaces: documents, notes and labels that persist and get reused across chats. Datasets of 50 or more sources are routine, and a question can run across all of them at once.
How large can a document be?
Between 20 MB and 500 MB per file depending on your plan, with per-seat storage from 100 MB up to 50 GB. Fifteen formats are accepted, including PDF, DOCX, PPTX, XLSX, EPUB, ODT, RTF, HTML and plain text. The compare plans page lists the figure for each tier.
Do I get files back, or just chat answers?
Files. A turn can produce a real PDF, spreadsheet, chart or diagram that you download and reuse in later turns. Chat-with-PDF tools return text you copy out by hand; there is no native spreadsheet or chart generation in any of them.
Can it run the same task over every document in a set?
Yes. Six batch workflows (Summarizer, Data Extractor, Individual, Blueprint, SEO Metadata, Humanizer) run across every source in a dataset and return a structured result. ChatPDF, ChatDOC and Humata have no batch equivalent, so the same task means opening each file and repeating yourself.
How trustworthy are the citations?
Every cited claim is a clickable reference that opens the source at the exact page or section, and the discipline is enforced by the engine rather than left to the model. In chat-with-PDF tools citations tend to be conversational: the answer gestures at the document without pinning the claim to a location you can check.
Are my documents used to train AI models?
No, on every plan including the free one. Documents are encrypted at rest with AES-256, isolated per tenant by row-level security, and deleted when you delete them. The security page sets out who processes what and where.
Am I locked to one AI model?
No. You pick the model and can change it, and paid plans can run against your own provider account with your own API key. The models page lists what is currently available.