Page Text ExtractorExtract clean text for AI
The Page Text Extractor turns a list of pages into clean, readable text — no navigation, no ads, no cookie banners. Built for feeding content to AI tools.
Works in Chrome, Edge & Brave · No account needed
100,000+ users
4.6 on the Chrome Web Store
Point it at a list of pages, get the words back
Articles, documentation, product descriptions — anything where the text is the thing you want and the website around it isn’t.
Give it the addresses
Paste them in, upload a spreadsheet and pick the column, or reuse a column of links from a list you already scraped.
Confirm the list
The first address loads as a preview so you can see what you are about to run against, before anything starts.
Start it
Pages are processed in the background with a live progress count, and rows stream into the Data Table. There is no cap on how many addresses you give it.
Just the words, not the website around them
Copying a page by hand gets you the article plus the menu, the cookie notice, three newsletter prompts and the footer. All of that is removed here, every time, without you configuring anything.
It finds the actual article
Extraction targets the page’s main content area rather than taking the whole document, so what comes back is what someone came to the page to read.
Boilerplate always goes
Scripts, styling, navigation, headers, footers, sidebars, adverts, share widgets and comment threads are stripped on every page, with nothing to switch on.
Metadata comes with it
Title, description, author and publication date are read from the page’s own markup, so a content audit gets its columns for free.
Word counts
Every row carries the length of its content, which turns a list of pages into something you can sort and budget against.
Plain text, on purpose
Output is plain, whitespace-normalised text rather than markup — which is the format an AI model actually wants, and the one that costs the fewest tokens.
No page limit
Give it as many addresses as you like. Faster Extraction runs several tabs at once when the list is long.
What you get per page
Seven columns, the same for every address, so a hundred different sites still come back as one uniform table.
- url
The address it read
In the order you supplied
- title
The page’s title
Upgraded from the social share tags or the main heading when those are better than the raw title
- description
The page’s own summary
From the description the page publishes for search engines
- content
The main content as plain text
Navigation, ads and boilerplate already removed
- word_count
How long the content is
Sortable, so you can find the thin pages instantly
- author
Who wrote it
From the page’s author markup, where it declares one
- publish_date
When it was published
From the article metadata, where it declares one
What people use it for
Built for the jobs where the text is the deliverable.
Feeding AI models
Build a clean text set for retrieval, analysis or fine-tuning without writing a scraper per site — or connect an AI assistant and have it read the finished table itself.
Content audits
Word count, author and publish date for every page on a blog, in one table. Pair it with Sitemap Explorer and you never build the address list by hand.
Research
Collect the readable text of dozens of sources into one searchable place instead of forty open tabs.
Competitor content
What everyone in your market published this quarter, as text you can actually read across rather than click through.
Two minutes to your
first spreadsheet.
Nothing to configure, and no account needed to start.
Works in Chrome, Edge & Brave · No account needed
Not in Chrome right now? The Website to Text Converter does a single page in the browser, with nothing to install.
Questions about the Page Text Extractor
Scripts, styling, navigation, headers, footers, sidebars, adverts, social share widgets and comment threads — on every page, with nothing to configure. What's left is the page's main content as plain text.
Yes: the address, the title, the page's own description, a word count, the author and the publication date, where the page declares them. Seven columns, identical for every page, so a hundred different sites come back as one uniform table.
No — it's plain, whitespace-normalised text, not Markdown or HTML. That's the format an AI model actually wants and the one that costs the fewest tokens. Exports go through the results table like every other table.
There's no cap. Faster Extraction runs several tabs in parallel when the list is long, and the defaults — a one second pause between pages and a thirty second give-up time — are adjustable.
Sitemap Explorer will list every page a site publishes, up to 50,000, as a tree you can search and tick. Or scrape the links off an index page with the List Extractor and hand that column straight to this tool.
Yes. Connect Claude or another AI app to your account once, and you can ask for the text of a set of pages in plain English — it runs the extraction and reads the finished table back, without you pasting anything into the chat.