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Extract Structured Data from Images

Extract structured data from images, receipts, and forms with AI. Detect up to 20 key fields automatically or choose your own. Export JSON, CSV, or Excel.

Recognition Information

Drag & drop, paste an image, or click to select

PNG, JPG, WebP, HEIC/HEIF, BMP · Up to 10 MB

Extraction mode

AI selects up to 20 key labeled values, skipping table rows, isolated text and headings. For line-item tables, use Image to Table. Review important values.

No sign-up · Ads support free OCR (hidden with credits) · Images sent to third-party AI. View plans · Privacy Policy

HOW IT WORKS

How to Extract Data from an Image

01

Upload one image

Upload a PNG, JPG, WebP, HEIC, HEIF or BMP image, up to 10 MB, or paste a screenshot.

02

Choose automatic or specific fields

Let AI select up to 20 key labeled values, or name the fields you need. Use Image to Table for repeated table rows.

03

Review and export

Compare the extracted values with the source image, then copy the JSON or download JSON, CSV or Excel.

EXAMPLES

See image data extraction examples

Extract structured fields from a store receipt, a shipping label, and a business card.

01

Store Receipt

Extract store details and summary amounts such as subtotal, tax and total from a photographed receipt.

Original image
Photo of a grocery receipt on a wooden surface, showing store details, purchased items and totals.
Extracted fields
Image of extracted receipt field–value pairs, including subtotal, tax and total.

02

Shipping Label

Extract recipient address, delivery service, package weight and tracking number from a parcel label.

Original image
Photo of a UPS Ground parcel label showing an address, package weight, tracking number and barcode.
Extracted fields
Image of extracted shipping-label fields, including recipient address, service, weight and tracking number.

03

Business Card

Capture a contact's name, job title, company, phone, email, website and address.

Original image
Photo of a SummitTech business card showing a name, job title, phone, email, website and office address.
Extracted fields
Image of extracted business-card fields, including name, job title, company and contact details.

In specific-field mode, missing or unreadable values become null; automatic mode returns only identified fields. Always verify important values.

ABOUT

What Is Image Data Extraction?

Image data extraction turns labeled information in receipts, shipping labels, and forms into field–value pairs. Let AI detect up to 20 key fields or specify the fields you need. For full text or repeated table rows, use the dedicated tools.

ToolBest forResult
Image to TextReading all recognizable text in an imageEditable text
Image to TableRestoring rows and columns in a tableExtracted tables (Markdown, HTML, CSV or Excel)
Image Data ExtractionExtracting selected or automatically detected labeled valuesField–value pairs (JSON, CSV or Excel)

FEATURES

Flexible data extraction

Automatic or custom fields

Automatically select up to 20 meaningful labeled values, or enter up to 20 field names to control the JSON keys and order.

Missing data stays missing

In specific-field mode, missing or unreadable values become null; automatic mode returns only identified fields. Always verify important values.

Structured results, ready to use

Review the extracted field-value pairs and export the result as JSON, CSV or Excel (XLSX), without another recognition request.

Use Cases

Image Data Extraction Use Cases

Extract structured fields from everyday documents, review the values, and export the results.

Expense Records

Extract dates, merchants, totals, and tax amounts from receipt images to organize expenses.

Shipping Records

Extract recipients, delivery services, weights, and tracking numbers from shipping-label photos.

Contact Records

Extract names, job titles, phone numbers, and email addresses from business card images.

Forms & Applications

Choose the fields you need from photographed forms, then review the extracted values before exporting.

FAQs

Frequently Asked Questions

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