Document Contacts & Links Extractor
Document Contacts & Links Extractor
Automatically pull contact information from resumes, invoices, and contracts.
Scan Documents for Contacts
Drag & drop your files here. Supports PDF text and annotations, Word, Excel sheets, and Scanned Image OCR.
Max 100MB per fileSingle file
How to Extract Emails & Phone Numbers from Documents
How to Use Document Contacts & Links Extractor
- 1
Upload Documents
Select PDF, DOCX, XLSX, or TXT documents to scan.
- 2
Automated Pattern Scanning
High-speed regex and NLP extract emails, phone numbers, and associated names.
- 3
Export Clean Contact List
Download extracted leads as a structured CSV, Excel, or VCF file.
What Document Contacts & Links Extractor Can Do
📧Global Phone & Email Regex
Extracts international phone numbers (+1, +44, +91, etc.) and email addresses.
✨Deduplication & Validation
Automatically cleans duplicate records and filters invalid syntax.
📊Export to CSV / Excel / VCF
Save leads directly into your CRM or marketing spreadsheet.
🔒Zero Cloud Leakage
Extract contacts from private vendor agreements without security risks.
Tools & Settings Reference
- Phone & Email Regex Parser
- Extracts international telephone numbers and valid email addresses.
- Deduplication Filter
- Removes duplicate contacts across multiple uploaded files.
Frequently Asked Questions
The extractor applies E.164 pattern formatting to sanitize brackets, hyphens, and country prefixes, outputting standardized dialable telephone numbers.
Because a scanned page is a photograph of text, not text. There are no characters in the file for a parser to match — only pixels that look like characters to a human eye. Run the document through Scanned PDF to Text first, which uses OCR to produce a real text layer, then extract from that. A quick way to tell which kind of PDF you have: if you cannot select a sentence with your cursor in a PDF viewer, there is no text layer.
Two kinds, predictably. Numbers that are the right shape but not phone numbers — invoice references, order IDs, tracking numbers and long dates all match phone patterns in some regions. And addresses that are not people's addresses: noreply senders, mailing-list footers, and the document author's own contact block. The domain blocklist handles the recurring cases such as noreply and unsubscribe. Pattern matching cannot know intent, so treat the output as a reviewed shortlist rather than a finished contact list.
Searching finds one thing at a time in one document. Extraction gives you every match across a set of files in one structured table, de-duplicated and normalised, which is what you need before importing anywhere. From there the practical next step is usually CSV / Excel to VCF, which turns the table into contact cards a phone or mail client will actually import.
Related Tools
- CSV / Excel to VCFConvert CSV and Excel contacts to VCF vCard format, or parse VCF back to Excel. Map custom contact headers (names, emails, phone numbers, notes, addresses) and select output vCard version.
- PDF to TextExtract text from PDF pages locally. Choose flowing paragraphs or preserved layout spacing, strip running headers, and export as TXT, DOC or JSON.
- PDF to ExcelExtract tables, spreadsheets, and structured grids from PDF documents into editable Excel (.xlsx, .csv, .json) workbooks with automatic table detection.