AkousaEmail Extractor (Forensic)
Extract all email addresses from unstructured text.
About Email Extractor
The Email Extractor applies RFC 5321-compliant regex pattern matching to scan unstructured text of any size and extract every unique email address, handling complex local-parts, subdomains, internationalized domain names, and quoted strings. It is purpose-built for forensic analysis, data hygiene, and lead extraction tasks where email addresses are buried inside HTML source, server logs, leaked datasets, or multi-page documents. Results are deduplicated and sorted for immediate export, and all processing happens client-side with no data transmitted to any server.
How to Use
Paste any volume of unstructured text — web page source code, log files, exported documents, or raw email threads — into the input field. The tool scans the full content, identifies all syntactically valid email addresses using RFC 5321 pattern rules, deduplicates the list, and displays unique addresses. Use the Copy All button to get a newline-separated list, or click Download CSV to save the results for import into a CRM or mailing list tool.
Common Use Cases
- DFIR analysts pulling email addresses from server access logs, phishing email source code, or malware configuration files during incident response and threat hunting workflows
- Data engineers cleaning and normalizing CRM exports or scraped datasets by extracting only syntactically valid email addresses and discarding surrounding metadata noise
- Marketing teams extracting contact emails embedded in raw HTML from public company web pages or directory listings for outbound prospecting campaigns
- Security researchers identifying email addresses disclosed in public breach data, pastebin posts, or leaked configuration files during passive reconnaissance
- Developers testing email validation and extraction logic by running known-good and edge-case email strings through the parser to verify RFC 5321 compliance