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Address Extractor from Image

100% in browser — no upload
Drop a visiting card, shipping label, or WhatsApp address screenshot — OCR + AI extracts street, city, pincode, email, phone, company, name, GST. Copy each field in one click. Fast mode 100% private — no upload

Controls

Drop image here, paste (Ctrl+V), or click to select

JPG · PNG · WEBP · PDF · Max 10MB

Visiting CardShipping LabelWhatsApp ScreenshotLetterhead

Result

Drop an image to extract address

Visiting card · Shipping label · WhatsApp screenshot · Letterhead

📧Email99%
📱Phone98%
📮Pincode95%
🆔GST98%
🏠Street88%
🏙️City90%

What is address extractor from image?

Address extractor from image is an AI tool that OCRs an image containing an address — visiting card, shipping label, WhatsApp screenshot, letterhead — and extracts structured fields: street, city, state, pincode, country, email, phone, company, name, GST — into copyable fields.

It solves a daily pain: you receive an address as an image on WhatsApp, and normally type email, phone, and street one by one — 5 minutes, with typo risk. With this tool: drop image → get fields → copy one click → paste to Google Maps, delivery app, or contacts. No typing.

How to extract address from image without typing?

  1. Take a screenshot of the address — WhatsApp chat, visiting card, shipping label, letterhead
  2. Drop the image here on toolsda.com/tools/address-extractor, select Fast mode (free, browser OCR)
  3. Tool OCRs the image in ~2 sec via Tesseract.js in browser — no upload, 100% private
  4. Tool parses text into street, city, pincode, email, phone, company, name with confidence %
  5. Click Copy next to each field — Email [Copy], Phone [Copy], Full Address [Copy]
  6. Paste into Google Maps (Open in Google Maps button), delivery app, contacts, or download vCard

No typing, no typo, 2 seconds.

What details can you extract from image?

DetailExampleAccuracyHow extracted
Street123, MG Road, 2nd Floor, Indiranagar88–92%Line with number + keywords Road, Street, Nagar, Floor, Building, Lane
CityBangalore85–92%Match vs 500 India cities + US cities list
StateKarnataka88%Match vs India states (28) + US states (50)
Pincode (India)56003895%Regex \b\d{6}\b
ZIP (US)1000195%Regex \b\d{5}(?:-\d{4})?\b
Email[email protected]99%Regex pattern — very high accuracy
Phone+91 98765 4321098%Regex for +91 India, +1 US, generic 10-15 digit
CompanyExample Pvt Ltd85%Line with Pvt, Ltd, Inc, LLC, Corp keywords
NameRahul Sharma75–80%2–4 word line, no numbers, letters only
GST29ABCDE1234F1Z598%Regex \d{2}[A-Z]{5}\d{4}[A-Z]{1}[A-Z\d]{1}Z[A-Z\d]{1}
LandmarkNear Indiranagar Metro75%Line starts with Near, Opp, Opposite, Next to

Best: Email/Phone/Pincode/GST 95–99% via regex. Street/City 85–92% via heuristics.

Visiting card scanner to contact — Business card to vCard

Drop a visiting card image → OCR + AI extracts name, company, email, phone, address → Download vCard.vcf → Import to phone contacts in one click on Android or iPhone. No typing the visiting card manually.

  1. Drop visiting card JPG → Tool detects business card type
  2. Extracts name, company, email, phone, address with confidence %
  3. Preview vCard in the vCard tab
  4. Click Download vCard (.vcf) → Open .vcf on phone → Add to contacts

WhatsApp address screenshot to Google Maps — India use case

Friend sends an address as an image on WhatsApp (common for delivery, UPI payments in India). Normally you type the address manually into Google Maps or a delivery app — 5 minutes, with typo risk. With this tool:

Screenshot WhatsApp chat → Drop image → Copy Full Address → Click Open in Google Maps → Maps opens with the address pre-filled. 2 seconds vs 5 minutes of typing.

Also: Share on WhatsApp button to forward the extracted text to others.

Address extractor vs business card scanner apps vs manual typing

MethodInstall?PrivacySpeedCostvCard + Maps
Toolsda Address Extractor (this)No install100% private — no upload (Fast mode)2 secFree✅ vCard + Maps + JSON + CSV
CamScanner / Adobe Scan (app)Install 100MB appCloud upload10 secFree with ads, $5/mo premium❌ Only PDF
Python pytesseract (code)Python + Tesseract installLocal5 secFree❌ Text only
Manual typingNonePrivate5 min, typo riskFree❌ None

Best practices for accurate address extraction

  1. Use clear image 1024px+ — Blurry images reduce OCR accuracy. Phone scan at 300 DPI works best.
  2. Crop to address area — Remove extra background, chat bubbles, and unrelated text for better OCR.
  3. Straighten the image — Tilted images reduce OCR confidence. Use a scan app to straighten first.
  4. Handwriting and stamps parse less reliably — regex and heuristics are built for clean print; expect to fix a few more fields by hand on a handwritten or low-quality image.
  5. Check confidence colours — Green 95%+, amber 75–95%, red <75%. Click Edit to correct low-confidence fields.
  6. Copy as JSON for developers — Use JSON export to integrate with CRM, Google Sheets, or delivery apps.
  7. vCard for contacts — Business card → vCard → Import to phone saves all typing.

Frequently Asked Questions

How to extract address from image without typing?

Drop the image of an address — WhatsApp screenshot, visiting card, shipping label — on this tool. Tesseract.js OCRs it in your browser in 2 seconds (no upload). AI parses it into street, city, pincode, email, phone with confidence %. Click Copy next to each field or "Copy Full Address". No typing, no typo.

Can it extract email and phone from visiting card image?

Yes. Drop the visiting card JPG — OCR extracts email via regex (99% accurate) and phone (98% accurate), with Call and WhatsApp links. Copy each field or download vCard (.vcf) to import to phone contacts in one click on Android or iPhone.

Can it extract Indian pincode and GST from image?

Yes, optimised for India — 6-digit pincode regex, 500 India cities list, 28 states, GST regex (15-character). Also US 5-digit zip and UK postcode. Confidence 95-98% for pincode and GST.

Is address extractor private? Does it upload my card?

100% private in browser via Tesseract.js WASM — image never leaves your device, no upload, OCR runs locally.

What image types are supported?

JPG, JPEG, PNG, WEBP, and PDF (first page). Includes WhatsApp screenshots, visiting cards, letterheads, shipping labels. Max 10MB. 1024px+ recommended for best accuracy.

Can I copy address for Google Maps?

"Open in Google Maps" button opens the extracted full address in Google Maps search. "Copy Full Address" copies the formatted string for pasting into any app.

How accurate is address extraction?

Email 99%, phone 98%, pincode 95%, GST 98% via regex. Street 88-92%, city 85-92%, company 85% via heuristics. Low-confidence fields shown in amber/red — click Edit to correct.

Can I download as vCard to import to contacts?

Yes. After extraction, click "Download vCard (.vcf)" — generates BEGIN:VCARD VERSION:3.0 with name, company, phone, email, and address. Open the .vcf file on Android or iPhone to add to contacts in one click.