How to Use Claude for Long Documents
200K tokens of context is a lot. Here's how to actually use it.
Claude Sonnet 4's 200K-token context window fits roughly 150,000 words — a typical novel, a thick research paper, a 300-page contract. But "can fit" isn't the same as "will use well."
This guide covers techniques for actually getting good answers out of long documents.
Upload the document
On Claude Sonnet 4 on AskAI.free, drag-and-drop your PDF, doc or text file into the chat. Multimodal Claude reads PDFs natively — including images and tables — but text-based PDFs work best.
Ask Claude to verify it actually read the document
Don't assume Claude read everything just because it accepted the file. Always start with:
"Confirm you can see this document. What's its title, length, and overall structure (sections, chapters)?"
If Claude can't summarise the structure, retry the upload. Don't ask substantive questions until you've confirmed the document loaded.
Use targeted, structural questions
Long-context models work best when your question maps to specific sections of the document. Bad question:
"Summarise this 300-page contract."
Better questions:
- "What does Section 8 say about termination?"
- "Find every place that mentions data retention. Quote the relevant clauses."
- "List all the financial obligations of party A, with the page numbers."
Force citations
Always ask Claude to cite which page or section a claim comes from:
"For every answer, quote the relevant sentence and give the page or section number it appears in."
This forces Claude to actually retrieve from the document instead of guessing. It also lets you verify quickly.
Iterate and follow up
Claude keeps the whole document in context for the entire conversation, so you can ask follow-ups indefinitely. Use this for deep dives:
- "In the section you just quoted, what does 'reasonable efforts' typically mean in contract law?"
- "Compare the termination clauses to standard SaaS contracts."
- "Which clause is most unfavourable to me as the buyer?"
Be aware of the 'lost in the middle' effect
Even with 200K context, Claude (and every other long-context model) pays slightly less attention to information in the middle of a long document. Beginning and end get more weight.
If you're working with a critical document, ask explicitly: "Have you actually read the middle sections? Quote one sentence from page 100." If Claude can't, you may need to chunk the document.
Claude Sonnet 4 is the strongest long-document model that's broadly available. For documents over 200K tokens (roughly 500+ pages of dense text), Gemini 2.5 Pro's 2M-token context is the only option — but Claude is more accurate within its limit.
Both are available on AskAI.free Pro with a 7-day free trial.
Try the techniques above on AskAI.free — your first question is free.
Start a free chat →FAQ
How long is 200K tokens?
Roughly 150,000 words — a 600-page book. See our guide on tokens for exact conversions.
Is Claude better than ChatGPT for long documents?
Yes — Claude Sonnet 4's 200K context vs ChatGPT 4o's 128K. For massively long docs, Gemini 2.5 Pro at 2M wins both.
Can Claude process scanned PDFs?
Yes — Claude has built-in OCR. Quality depends on scan quality. For poorly-scanned documents, run OCR yourself first for better results.