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Extract text between delimiters

Pull out every piece of text that sits between a start and an end marker. Takes a whole file, so a long log does not have to go through the clipboard.

Extract text between delimiters works straight from this page — free, instant, nothing to install. Its place is under Web & network; Extract domains and Extract emails answer the questions closest to this one.

How to use it

  1. Open the tool — no signup or install needed.
  2. Enter your input or adjust the available options.
  3. Get your result instantly, then copy or download it.

Frequently asked questions

What is Extract text between delimiters?

Pull out every piece of text that sits between a start and an end marker. Takes a whole file, so a long log does not have to go through the clipboard.

When would I actually use this?

Getting usable data out of something that was never meant to be parsed: pulling every address out of a pasted thread, turning a column of lines into a JSON array or an SQL IN clause, renaming a hundred identifiers from snake_case to camelCase in one pass.

What is the most common mistake?

Trusting an extraction to be exhaustive. A pattern that catches every address in the sample will still miss the one wrapped across a line break, the one written with a display name, and the one an email client turned into a link — count what came out against what you expected before you use the list.

How is Extract text between delimiters different from Extract domains?

They sit next to each other but answer different questions: Extract domains is the one to open when you need it to pull the domain names out of URLs and email addresses in your text. Paste the text or drop the file; nothing leaves the page either way. Pick whichever matches what you're starting from — both are free.

Is there a tool for the next step?

Extract emails is the closest one after this: Pull every unique email address out of a block of text. Works on a pasted block or on a file you drop in.

What else is worth having open alongside it?

Extract IP addresses and Extract numbers — they come up in the same task often enough to be worth a second tab.

Where do the figures come from?

Extraction runs on patterns, not on a parser: it recognises the common shapes of an address, a URL or an IP rather than validating them against their specification. That is the right trade for a paste, and the wrong one for input you are about to store.

Further reading

All guides
ExplainerExtracting Every Email Address or URL from a Block of TextA URL at the end of a sentence keeps the full stop; an email address at the end of the same sentence does not. An accented first name in an address comes back truncated. Every case here was run through the tools and the exact output is reported.How-toRegex Basics: A Beginner's GuideA regular expression is a pattern for matching text. Here are the building blocks — character classes, quantifiers and anchors — with a worked example.GuideBuilding a URL With Parameters That Survives a Copy-PasteThree encodings, one visible difference: %20 or +. The builder's form mode matches URLSearchParams byte for byte on seventeen values — but give it a base URL with a fragment and every parameter lands inside the hash, where no server sees it.ExplainerSemicolon, Tab, Pipe: Choosing a Delimiter That Survives the TripWhy the reader's language decides the delimiter, what the converter does to the quoting when you switch, what the sep= first line really is, and the count of quoted cells on the same export written five ways.GuideHTTP Status Codes Explained: The Ones That Actually Get Confused301 against 308, 302 against 307, 401 against 403, 404 against 410 — plus what Retry-After on a 429 or a 503 actually promises. The pairs where picking the wrong code changes behaviour, not just wording.GuideSQL Formatting and the IN Clause That Breaks ProductionBuilding an IN list by string concatenation is both the classic injection vector and a performance cliff. Parameterisation fixes the first structurally, because the plan is compiled before any value arrives. The second needs arithmetic: the vendors' documented parameter ceilings, and what a query whose text changes with every list length does to a plan cache.