Smart Data Field Extraction with OCR & Machine Learning

Get the data fields such as IBAN, line items, and document numbers extracted seamlessly from documents or images with Intelligent Document Processing.
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Seamlessly Extract Various Data Fields with Klippa

Take a look at some of our most frequently extracted data fields from a wide range of documents.

Financial documents that Klippa often processes

Below you can find various documents that we often encounter. However, if you would like to see the other documents & data fields we process, please check out this page

Data fields we can extract from invoices

Invoice language
Merchant name
Merchant website
Country of origin
Line item description
VAT amount
Transaction number
Amount of change
Document type
Invoice date
Delivery date
Merchant details
Client details
Payment method
Line item quantity
Line item category
VAT percentage
Many more fields

Data fields we can extract from purchase orders

Purchase order language
Purchases order number
Merchant name
Merchant website
Signature
Country of origin
Line item description
VAT amount
Purchase date
Amount of change
Document type
Purchase order date
Merchant address
Merchant details
Client details
Line item quantity
Line item category
VAT percentage
Delivery date
Many more fields

Data fields we can extract from payslips

Net salary
Bank account
Employer address
Employee number
Date of birth
Days worked
In/out service date
Tax rate
Job title
Employment date
Gross salary
Employer name
Employee name
Employee address
Salary period
Hours worked
Hourly rate
Date of issue
Pension
Job department
Many more fields

Data fields we can extract from bank statements

Bank statement vendor
Bank BIC code
IBAN
Date range
Starting balance
Total amount debited
Transaction lines
Recipient account number
Transaction date
Total added balance
Document type
Bank account number
Account holder name
Account holder address
Final balance
Total amount credited
Descriptions
Recipient name
Transaction amount
Many more fields

Data fields we can extract from credit card statements

Document type
Card number
Card holder address
Date range
Total amount debited
Transaction lines
Recipient account number
Transaction date
Monthly subtotal amount
Vendor name
Card holder name
Starting balance
Final balance
Total amount credited
Descriptions
Recipient name
Transaction amount
Many more fields

Data fields we can extract from remittance advice

Document type
Seller’s name
Buyer’s name
Invoice dates
Total amount paid
Bank account number
The issue date
Seller’s address
Buyer’s address
Invoice numbers
Payment method
Many more fields

Retail documents that Klippa often processes

Below you can find various documents that we often encounter. However, if you would like to see the other documents & data fields we process, please check out this page

Data fields we can extract from receipts

Receipt language
Receipt number
Merchant website
Country of origin
Line item description
CoC number
VAT number
Transaction number
Amount of change
Document type
Merchant details
Line item quantity
Line item category
Total amount
VAT percentage
VAT percentage
Terminal number
Many more fields

Data fields we can extract from price tags

Store name
Price per kg/liter etc
Product price
Discount price
Date
SKU
Production description
Product category
Serial number
Discount percentage
Supplier name
Many more fields

Data fields we can extract from debit & credit cards

Document type
Validity of the card
CVC (optional)
Signature
IBAN
Name of the bank
Expiration date
Card type
Cardholder name
PAN
Card number
Many more fields

Identity documents that Klippa often processes

Below you can find various documents that we often encounter. However, if you would like to see the other documents & data fields we process, please check out this page

Data fields we can extract from passports

Full name
Nationality
Date of birth
Passport picture
Date of Issue
Valid through
Sex
Signature
Document type
Document number
Place of birth
Machine readable zone
Location of issue
Social security number
Height
Many more fields

Data fields we can extract from ID cards

Full name
Nationality
Date of birth
Cardholder picture
Signatures
Date of issue
Valid through
Weight
Document type
Document number
Location of birth
Machine readable zone
Sex
Location of issue
Height
Many more fields

Data fields we can extract from driver’s licenses

Full name
Nationality
Date of birth
Date of issue
Issuing authority
Machine readable zone
Cardholder address
Weight
Signature
Category
Document type
Document number
Location of birth
Location of issue
Valid through
Sex
Height
Hair colour
Cardholder picture
Many more fields

Data fields we can extract from driver’s licenses

Full name
Nationality
Date of birth
Date of issue
Issuing authority
Machine readable zone
Cardholder address
Weight
Signature
Category
Document type
Document number
Location of birth
Location of issue
Valid through
Sex
Height
Hair colour
Cardholder picture
Many more fields

Logistics documents that Klippa often processes

Below you can find various documents that we often encounter. However, if you would like to see the other documents & data fields we process, please check out this page

Data fields we can extract from T1 & T2 documents

Sender details
Total number of packages
Number of seals
Country of destionation
Place of unloading
Commodity code
Office of destination
Recipient details
Total weight
Customs tariff number
Country of export
Place of loading
Transit numbering
Many more fields

Data fields we can extract from bill of lading

Bill of lading number
Trailer number
Receiver name
Shipper name
Invoice numbers
Number of products
Dimension of the product
Notes for the carrier
Carrier name
Serial numbers
Receiver address
Shipper address
Pickup date
Weight of the product
Packaging details
Many more fields

Data fields we can extract from deliver docket

Date
Name of the buyer
Name of the seller
Contact details of the seller
Date of order
Description of goods
Quantity ordered
Line item details
Comments
Docket number
Address of the buyer
Address of the seller
Buyer’s PO number
Date of delivery
Code of goods
Quantity delivered
Back-ordered goods
Many more fields

Data fields we can extract from packing slips

Order date
Contact information
List of out-of-stock items
SKU or UPC of each item
Slip number
Tracking details
Notes from the sender
Company stamps
Shipping address
List of shipped items
Quantity of each item
Other line item details
PO number
Shipping costs
Signature
Many more fields

HR documents that Klippa often processes

Below you can find various documents that we often encounter. However, if you would like to see the other documents & data fields we process, please check out this page

Data fields we can extract from resumes

Country of origin
Resume language
Locations
Phone numbers
Education
Searchable text
References to other sites
Dates
Document type
Addresses
Email addresses
Work experience
Skills
Keywords
Dates & validity
Many more fields

Data fields we can extract from motivational letters

Country of origin
Document language
Length
Searchable text
Dates
Addresses
References to other sites
Document type
Names
Originality
Keywords
Names
Dates & validity
Many more fields

Data fields we can extract from employer statements

Country of origin
Document language
Employee name
Working hours
Signatures
Permit clauses
Dates
Contract type
Addresses
Payment period
Document type
Employer name
Employee salary
Contract starting date
Searchable text
Risk keywords
Phone numbers
Social security number
Contract period
Many more fields

Data fields we can extract from driver’s licenses

Full name
Nationality
Date of birth
Date of issue
Issuing authority
Machine readable zone
Cardholder address
Weight
Signature
Category
Document type
Document number
Location of birth
Location of issue
Valid through
Sex
Height
Hair colour
Cardholder picture
Many more fields
Chamber of commerce number
Chamber of commerce number data extraction
Klippa can automatically recognize chamber of commerce numbers on many different types of documents. After extraction we can also verify the extracted number via third party sources.
Tax identification number
Tax identification number data extraction
Automatically extracting tax identification numbers is a relevant task in accounting, loan application and tax document processing. Klippa can identify and extract tax identification numbers from many types of documents. On request Klippa can also verify the extracted numbers via third party data sources.
VAT number
VAT number data extraction
VAT numbers can be extracted by Klippa on many different types of documents. Among other reasons, the extraction is done to catch fraudulent invoices and verify if VAT numbers belong to bank account numbers and company names.
Social security number
Social security number data extraction
In many KYC, AML and CDD procedures, the social security number is a relevant data point. Klippa can extract social security numbers from different types of documents. 
MRZ code
MRZ code data extraction
MRZ codes are coded lines on identity documents such as passports, ID cards and driving licenses. Klippa can automatically extract all three types of MRZs from over 300 documents worldwide, across many different languages. Klippa also verifies the validity of the MRZ. 
IBAN & other bank account number
IBAN & other bank account number data extraction
Extracting IBAN and other bank account numbers can be very relevant in accounts payable automation use cases. Klippa can extract and validate bank account numbers on many types of documents. For example invoices, purchase orders and payslips.
Credit card number
Credit card number extraction
Klippa can extract credit card numbers from pictures of credit cards and other documents. Even embossed numbers from hard angles can be recognized and verified. 
Container code
Container code data extraction
Looking to extract container code numbers from pictures or video’s? Klippa is here to help you. 
License plates
License plate data extraction
Trying to extract license plates from images or documents? Klippa can help to extract and verify license plate numbers in real life pictures or on unstructured documents.
Purchase order number
Purchase order number extraction
Are you trying to automate your accounts payable, order intake or another proces? Klippa can automatically extract purchase orders numbers from documents like invoices, purchase orders, delivery slips and more.
Invoice & receipt number
Invoice & receipt number data extraction
For invoice processing, expense management, accounts payable automation, 2-way matching, 3-way matching and (bank) reconciliation, receipt and invoice numbers can be very relevant. Klippa can help you identify and extract these numbers on video, photo and documents.
Barcodes
Barcode scanning and reading
Klippa can extract, scan and read every style barcode in images and on documents. Even multiple barcodes on a single image can be scanned and processed by Klippa. This is useful for logistics, product registrations, stock keeping and more.
QR codes
QR code reading
Reading QR codes on pictures and documents can be very relevant in accounts payable, loyalty and other use cases. Klippa can scan, read and extract data from QR codes in pictures and documents.
EAN Codes
EAN code data extraction
EAN codes (European Article Numbers) are used to identify products brands and types. Wether you are looking to extract these numbers from invoices, stickers, boxes or other documents & pictures, Klippa can help you.
Serial numbers
Serial number data extraction
Serial numbers are used on many types of products, but are specifically common on electronics. Are you looking to identify serial numbers on boxes, stickers, pictures or documents? For example for product and warranty registration? Klippa is here to help.
Tyre identification number (TIN)
TIN data extraction
Extracting textual data from low light and contrast images is very challenging. Are you looking to extract tyre identification numbers from pictures or documents? Klippa is here to help.
Vehicle identification number (VIN)
VIN data extraction
Extracting VIN numbers can be complicated. Especially if they are on window screens of cars or on metal plates. Klippa can help to extract VIN codes from pictures, but also documents.
+100 other data fields
Other data fields
Klippa uses machine learning, computer vision and OCR to extract data points from videos, photos or documents. Many other data points can be extracted out of the box. Klippa also offers the possibility to extract custom fields. So whatever you are looking to extract and automate, Klippa is here to help. 

How it works.

Send your documents to our data field extraction API.
Klippa converts documents to text, classifies the document type, extracts relevant data fields and converts documents to structured data like JSON.
You get all the data you need within seconds.

Automate Data Field Extraction For Significant Results

Reduce Cost
Spend less on processing documents and get rid of manual data entry tasks.
Improve Speed
Extract data within seconds & improve turnaround time with automation.
Minimize Errors
Prevent manual data entry errors with automated data field extraction.
Prevent Fraud
Automatically recognize errors, duplicates, and fraudulent documents with AI technology.

We Take Your Data Privacy & Security Seriously

“It is extremely pleasant to work together with a party that is as ambitious as we are. The willingness and speed with which Klippa implemented specific modifications for us is impressive.”
Leon Backbier
IT Manager, Banijay Benelux
Get In Touch Now!
Contact Klippa’s experts for more information about your specific use case and book a demo using the form below!