Perplexity Webpage Summary Cuts Off Halfway: Fix

You open a lengthy webpage in Perplexity, and the AI-generated summary stops abruptly at the midpoint. This truncation issue often occurs when the source page exceeds the model’s context window or contains broken HTML structure. The summary may also cut off if the response length limit is reached during generation. This article explains the root causes of truncated summaries and provides three practical fixes to get complete, usable summaries every time.

Why Perplexity Webpage Summaries Get Truncated

Perplexity uses large language models that have a fixed context window. This window limits how much text the model can read and generate in a single request. When you ask Perplexity to summarize a webpage, the tool first fetches the page’s raw HTML or text content. If that content is longer than the model’s context window, Perplexity must either truncate the input or stop generating the summary halfway.

The truncation usually happens for one of three reasons:

• Page length exceeds model limits: A typical webpage with 50,000+ words (e.g., a long Wikipedia article, a legal document, or a research paper) can easily fill the context window. The model can only read the first portion, so the summary covers only that part.
• Maximum output token limit: Even if the model can read the entire page, the summary generation itself has a limit on how many tokens it can produce. If the page is complex, the model may stop generating before the summary is complete.
• Broken HTML or messy formatting: Some pages have nested tables, infinite scroll, or JavaScript-rendered content that Perplexity cannot parse correctly. The tool may grab only a partial chunk of the visible text.

Perplexity does not automatically retry with a shorter page or a larger model. You must manually choose a method to work around these limits.

Steps to Fix a Halfway Truncated Summary

Three methods reliably fix this issue. Try them in the order below.

Method 1: Split the Webpage Into Smaller Sections

Instead of asking for a summary of the entire page, ask Perplexity to summarize one section at a time. This keeps each request within the context window.

1. Identify the page sections
   Scroll through the webpage and note the headings (H2, H3) or chapter titles. For example, a Wikipedia page might have sections named “History”, “Geography”, and “Economy”.
2. Open Perplexity and paste the page URL
   Go to perplexity.ai and paste the full URL into the search bar. Do not press Enter yet.
3. Add a section-specific prompt
   Type a prompt like “Summarize only the section titled ‘History’ from this page.” Then press Enter.
4. Repeat for each section
   After you get the first summary, repeat steps 2-3 for each remaining section. Combine the summaries manually or ask Perplexity to merge them in a follow-up prompt.

Method 2: Paste Only the Relevant Text

If the webpage is extremely long or contains lots of ads and navigation, extract the main text and paste it directly into Perplexity. This removes all non-essential content and reduces the token count.

1. Copy the text you need
   Open the webpage in your browser. Select the portion of text you want summarized. Press Ctrl+C (Windows) or Cmd+C (Mac) to copy.
2. Paste into Perplexity
   In Perplexity, click the text input field. Press Ctrl+V or Cmd+V to paste the copied text.
3. Add a clear instruction
   Type “Summarize the following text in 3-5 bullet points” after the pasted content. Press Enter.
4. Check the output length
   If the summary still cuts off, repeat the process with an even smaller chunk of text. Aim for no more than 2,000 words per request.

Method 3: Switch to a Pro Model With a Larger Context Window

Perplexity Pro subscribers can choose from multiple AI models. Some models have a much larger context window than the default GPT-4o. This allows them to read and summarize entire long pages without truncation.

1. Open Perplexity and start a new search
   Go to perplexity.ai and click the search bar.
2. Click the model selector
   Below the search bar, look for a dropdown or button that shows the current model name (e.g., “GPT-4o”). Click it.
3. Choose a larger-context model
   Select one of these models from the list:
   • Claude 3.5 Sonnet – 200K token context window
   • GPT-4 Turbo – 128K token context window
   • Perplexity’s own model (for Pro) – up to 200K tokens
4. Paste the URL or text again
   Enter the same URL or pasted text as before. Press Enter.
5. Verify the summary is complete
   Read the end of the summary. It should now cover the entire page. If it still cuts off, the page is longer than even the largest model can handle. Use Method 1 in that case.

If Perplexity Still Has Issues After the Main Fix

Summary Is Still Truncated After Switching Models

Some webpages are so long that even a 200K token model cannot process them in one pass. For example, a 300-page legal document or a full book chapter can exceed 200K tokens. In this case, use Method 1 (split into sections) or Method 2 (paste smaller chunks). There is no model that can handle arbitrarily long text.

Summary Contains Gaps or Missing Paragraphs

If the summary is not truncated but skips important parts, the webpage may have JavaScript-rendered content that Perplexity cannot read. To fix this, open the page in your browser, wait for all content to load, then press Ctrl+A to select everything. Copy and paste the text into a plain text editor (like Notepad). Then copy only the main body text and paste it into Perplexity as described in Method 2.

Perplexity Returns “Unable to process this page” Error

This error indicates that the page is behind a login wall, blocked by robots.txt, or contains dynamic content that Perplexity cannot fetch. You cannot fix this from Perplexity. Instead, open the page manually, copy the text, and paste it into Perplexity as a plain text request.

Perplexity Free vs Pro: Context Window and Summary Limits

Item	Perplexity Free	Perplexity Pro
Default model	GPT-4o (128K tokens)	Choice of GPT-4o, GPT-4 Turbo, Claude 3.5 Sonnet, etc
Maximum context window	128K tokens	Up to 200K tokens (Claude 3.5 Sonnet)
Maximum output tokens per summary	~4,096 tokens	~8,192 tokens (varies by model)
Ability to paste custom text	Yes	Yes
Price	Free	$20 per month

If you frequently summarize very long pages, Pro gives you a larger context window and longer output. For most everyday webpages, the Free tier with the section-splitting method works fine.

Now you can fix a truncated Perplexity summary by splitting the page, pasting smaller text, or switching to a Pro model with a larger context window. Start with Method 1 because it works on any plan. If you have a Pro subscription, try Method 3 first for the fastest results. For pages with dynamic content, always paste the raw text manually to avoid parsing errors.