Extract Emails & Phones

Free

Pull every email address and phone number out of a PDF as a deduped table. Indian + international phone formats, page references, CSV export. Free, in-browser.

What you'll get: every email address and phone number in the PDF as a deduped table — Indian + international phone formats, page references, CSV export. For another use, try PDF to Text.

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Stays in your browser

Free tools run fully on-device — nothing is uploaded to a server.

No watermarks

Clean output, no branding, no daily limits.

Free forever

No signup required. Seriously.

Why people extract emails and phones from PDFs

Old contact sheets, conference attendee lists, vendor catalogues, sales-rep PDFs, real-estate listings — every flat-file roster has hundreds of contacts that need to live in a CRM, a spreadsheet, or an email tool. Extract Contacts pulls them out as a deduped table with page references — runs entirely in your browser, no signup required.

Sales lead enrichment

Conference attendee lists, exhibitor directories, industry reports often have contact details buried in prose. Extraction turns the PDF into a CSV ready for Salesforce / HubSpot / Pipedrive import.

Email-list dedup before campaign

When inheriting a contact list as a PDF (a common consultancy / agency situation), extract first, dedupe against your existing CRM, then upload the new-only contacts. Saves the spend on already-known leads.

Vendor / supplier directory parsing

MSME directories, trade-association rosters, and exhibitor lists publish as PDFs. The structured CSV makes them queryable — find every supplier in a city, every vendor with a specific email domain.

Resume contact-info verification

Recruiters with hundreds of candidate PDFs use the tool to standardize the contact info they capture into ATS — same email/phone formats across all candidates, no re-keying typos.

Real-estate / classified listings

Indian property classifieds publish as multi-page PDFs. Extract phones to get every broker / owner number with page references for follow-up. Indian phone formats (+91, bare 10-digit, STD landline) all detected.

How Extract Contacts works

Three steps, no signup, no uploads.

STEP 1
Drop your PDF
Up to 100 MB. The byte-parser pipeline that runs PDF to Text + the email/phone regex all execute in your browser — nothing uploaded.
STEP 2
We extract + dedupe
Emails matched via standard local-part@domain.tld regex. Phones matched via India-first ordered patterns (+91 XXXXX XXXXX → 0XX-XXXXXXXX → bare 10-digit) plus US/Canadian and generic international (+CC). Each contact deduped across pages with occurrence count + page list preserved.
STEP 3
Copy or export CSV
Combined CSV (type / value / normalized / region / count / pages) drops into your CRM, spreadsheet, or email tool. JSON export available for programmatic workflows.

What makes pdfcraft ai different

Same engine Chrome uses
PDFium is Google's PDF engine — the one that powers Chrome's built-in PDF viewer. We compile it to WebAssembly so it runs in your browser at near-native speed.
100% local processing
Most free PDF tools upload your file to a server, process it, and stream the result back. We don't. Your file lives in your browser tab and never touches our infrastructure. Verifiable in your browser's Network panel.
No watermark, no signup, no daily limit
Convert 1 PDF or 1,000. We don't gate on volume because there's nothing to gate on — the engine runs on your machine.
Honest about limitations
When something the tool can't do (encrypted PDFs, cross-reference streams), we tell you clearly instead of failing silently. Same for partial results: sampled vs exact, embedded vs not.
Open standards, free engines
PDFium is BSD/Apache licensed (free for any use). We don't pay vendor license fees and pass that savings on to you (and to ourselves) as a free, ad-supported tool with no upgrade-to-pro pressure.

Frequently asked questions

What phone formats are supported?

Indian formats are primary: +91 XXXXX XXXXX, +91-XXXXX-XXXXX, +91XXXXXXXXXX, 0XX-XXXXXXXX (STD landline), bare 10-digit (mobile). Plus US/Canadian (+1 (XXX) XXX-XXXX, etc.) and generic international (+CC ...). Bare 10-digit numbers default to Indian classification (mobiles starting 6-9; landlines 2-5).

Will it catch obfuscated emails like ‘name [at] domain dot com’?

No. The regex matches standard email format only. Obfuscated emails are intentionally hard to scrape — that's their purpose. For obfuscated formats, use AI Extract Entities which uses an LLM and handles natural-language obfuscation.

What about scanned PDFs?

Won’t work — we extract from PDF text, and scanned PDFs have no text layer. The tool detects this case and tells you to run AI PDF OCR first to add a text layer, then re-run Extract Contacts.

Does it work for non-English content?

Email regex is universal (emails are ASCII). Phone regex is biased toward Indian + US formats; other international formats with + prefix usually match but won’t be normalized. For Indic-script content (Hindi, Tamil, etc.), text extraction itself works on Unicode PDFs but quality degrades on older non-Unicode fonts.

Privacy?

Everything runs in your browser. The PDF never leaves your machine. The extracted contact table is for your own use — for sharing with third parties (e.g. handing a list to a marketing agency), redact PII via Redact PDF or scrub via your own tool first.

What about false positives?

Phone regex over-matches on prices, timestamps, ID numbers — those get filtered by ‘isLikelyPhone’ before output, but a few may slip through. Eyeball the output before importing into a CRM.

Need to extract structured entities too?

AI Extract Entities surfaces people, organizations, places, and dates as four separate tables — useful when you need named-entity tables, not just emails and phones.

Try AI Extract Entities

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