Bulk IP & Email Extractor
Analyzes a large block of text (server logs, security reports, exported data) and extracts every IPv4 address, IPv6 address, and email address in it at once, with the option to show unique values only or keep every duplicate in its original order, plus a separate count for each type. Paste text directly or upload a text file, then copy any list or download the results as a TXT or CSV file — entirely in your browser, with nothing ever uploaded to a server.
The text is processed entirely on your device and is never sent to any server.
This tool uses general patterns good enough for everyday text, not full validation against the official standards — it may occasionally miss a rare case or pick up text that only looks like a match.
Or drop a text file here
.txt or .log files
Extracted results will appear here
What this tool does
Extracts email addresses and IPv4 and IPv6 addresses from a large text or a file, grouped by kind, with a unique-only option and export as text or CSV.
When to use it
- Server logs you want addresses pulled out of.
- A large file of mixed data you want sorted into kinds.
- Analysing a log to spot recurring addresses.
- Building an address list from an unstructured source.
How to use it
- Paste the text into the field, or put a file on the drop area.
- Enable the unique-only option to drop repeats.
- Read the three groups: emails, IPv4 and IPv6.
- Copy everything, or download as text or CSV.
A practical example
Input
A server log file of thousands of lines.
Output
Three sorted lists — email addresses, IPv4 addresses and IPv6 addresses — each with its count.
Limitations
- Extraction is on a value's shape rather than its validity: a correctly formed but nonexistent IP address is still extracted.
- Very large files are bounded by browser memory.
- Logs usually contain personal data; what you do with the output is subject to the data-protection law where you are, and this tool does not relieve you of that.
Privacy and processing
The text or file is processed entirely on your device and is never sent to a server — which matters particularly here, since logs typically contain data that must not leak.
Technical notes
- The three groups are separated in a single pass over the text, so large files are read once rather than three times.
Frequently Asked Questions
It uses general patterns good enough for everyday text, not full validation against the official RFC standards — it may occasionally miss a very rare case or pick up text that only looks like an address, especially for the more complex IPv6 forms.