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Phone Extractor

Upload one or multiple resumes and instantly extract names and phone numbers — download as CSV in one click.

  • 100% free
  • No sign-up needed
  • Bulk upload supported
  • PDF, DOC, DOCX, TXT
Drop your resumes here
Drag and drop single or multiple resumes to extract names and phone numbers instantly
Browse files
Supported formats: PDF, DOC, DOCX, TXT · Max 2 MB per file · Up to 50 files
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Your files are being processed. Files above 2 MB will be skipped.
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✅ The uploaded documents were processed.
Some of the files could not be read or were not extractable.
Success: 0  |  Failed: 0  |  Total: 0
Extracted Contacts
# File Name Full Name First Name Last Name Phone Status
Want to do more with these contacts?

Import them to CoHire and build your talent list, message candidates directly, and manage your hiring pipeline — for free.

Import to CoHire

How it works

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Step 1
Upload resumes

Drop one resume or up to 50 at once. PDF, DOC, DOCX and TXT all work.

🔍
Step 2
Extract phone numbers

CoHire scans each document and pulls out names and phone numbers automatically.

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Step 3
Download the list

Get a clean CSV or Excel file with all contacts ready to use immediately.

Common questions

Is this tool really free?
Yes, completely free. No account needed, no usage limits on the free version. Just upload and download.
How many documents can I upload at once?
You can upload up to 50 resumes in a single batch. Each file can be up to 2 MB. For larger batches, sign up for a CoHire account.
Are my documents stored or shared?
No. Your files are processed in the browser and not stored on CoHire's servers. Nothing is retained after you close the page.
What file formats are supported?
PDF, DOC, DOCX and TXT formats are supported. Scanned image-only PDFs may not extract correctly — text-based PDFs work best.
Why some files couldn't be processed?
  1. File size – files larger than 2 MB are automatically skipped.
  2. Unsupported format – only PDF, DOC, DOCX, and TXT are accepted.
  3. Corrupted or unreadable – the document could not be parsed by the extraction engine.
  4. Missing data – the file may not contain valid data points for extraction.
  5. Images - document contains images that could not be processed.