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Extract names and clean emails from raw recruitment text.
Paste raw content on the left and click Run Extraction to auto-clean and align columns dynamically in this pane.
Finlytic Pro's free candidate extractor instantly parses raw recruitment text to extract clean first names and email addresses in two synchronized columns — ready to copy directly into Excel, ATS systems, or CRM databases. It is the ultimate data-cleaning tool for HR teams, staffing agencies, and recruiters.
Recruiters often receive hundreds of applications in formats like email bodies, exported spreadsheets, or raw text dumps. Manually parsing this data to extract the candidate's first name and clean email address is tedious and error-prone. Our tool automates this entire process — paste your raw text, and it extracts structured data in seconds.
Recruitment data is highly sensitive — it contains personal contact information of real individuals. Finlytic Pro processes all data locally in your browser. Your candidate data is never transmitted to our servers, stored in databases, or accessed by any third party. This makes our tool compliant with data privacy best practices including GDPR and CCPA.
Paste Your Raw Text
Click Extract
Copy to Excel or ATS
Paste Your Raw Text
Paste your unstructured recruitment data — email bodies, spreadsheet exports, or any text containing names and email addresses.
Click Extract
Our parser automatically identifies name patterns and email addresses from your text and separates them into clean columns.
Copy to Excel or ATS
Copy the extracted two-column output (First Name, Email) directly into Excel, Google Sheets, or your ATS system.
The extractor can detect all standard email formats including name@domain.com, name@subdomain.domain.co.uk, and emails wrapped in angle brackets like <name@domain.com>.
The tool is optimized to extract the first name from full name strings (e.g., "John Smith" → "John") to help personalize outreach. It also outputs the clean email address in a separate column.
Yes. Since all processing happens in your browser with zero server transmission, this tool aligns with GDPR data minimization principles. However, you remain responsible for the lawful basis of your data collection and processing.
Yes. The tool runs in your browser and handles large text blocks. Performance depends on your device capabilities, but most standard recruitment datasets process instantly.
Extract names and clean emails from raw recruitment text.
Paste raw content on the left and click Run Extraction to auto-clean and align columns dynamically in this pane.
Finlytic Pro's free candidate extractor instantly parses raw recruitment text to extract clean first names and email addresses in two synchronized columns — ready to copy directly into Excel, ATS systems, or CRM databases. It is the ultimate data-cleaning tool for HR teams, staffing agencies, and recruiters.
Recruiters often receive hundreds of applications in formats like email bodies, exported spreadsheets, or raw text dumps. Manually parsing this data to extract the candidate's first name and clean email address is tedious and error-prone. Our tool automates this entire process — paste your raw text, and it extracts structured data in seconds.
Recruitment data is highly sensitive — it contains personal contact information of real individuals. Finlytic Pro processes all data locally in your browser. Your candidate data is never transmitted to our servers, stored in databases, or accessed by any third party. This makes our tool compliant with data privacy best practices including GDPR and CCPA.
Paste Your Raw Text
Click Extract
Copy to Excel or ATS
Paste Your Raw Text
Paste your unstructured recruitment data — email bodies, spreadsheet exports, or any text containing names and email addresses.
Click Extract
Our parser automatically identifies name patterns and email addresses from your text and separates them into clean columns.
Copy to Excel or ATS
Copy the extracted two-column output (First Name, Email) directly into Excel, Google Sheets, or your ATS system.
The extractor can detect all standard email formats including name@domain.com, name@subdomain.domain.co.uk, and emails wrapped in angle brackets like <name@domain.com>.
The tool is optimized to extract the first name from full name strings (e.g., "John Smith" → "John") to help personalize outreach. It also outputs the clean email address in a separate column.
Yes. Since all processing happens in your browser with zero server transmission, this tool aligns with GDPR data minimization principles. However, you remain responsible for the lawful basis of your data collection and processing.
Yes. The tool runs in your browser and handles large text blocks. Performance depends on your device capabilities, but most standard recruitment datasets process instantly.