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Detailed information

Tokens

In Anonymator, text usage is measured in tokens. We separate between Recurring tokens** (come with a subscription plan) and One time tokens* (Pay-as-you-go).

A token represents approximately four characters, which typically equals one word in most European languages. To estimate how many pages (DIN A4) can be processed per plan, we use an average word count per page, which varies slightly by language. For example, a standard page contains around: 285 words in German, 250 in English, 260 in French, 270 in Italian, 265 in Dutch, and 275 in Spanish.
By dividing the monthly token allowance of each pricing plan by the number of tokens required per page (based on the average word count), we can estimate how many full pages of text can be anonymized monthly in each language. This helps users and partners better understand the scope of each plan across multilingual use cases.
Plan Tokens Pages (DE) Pages (EN) Pages (FR) Pages (IT) Pages (NL) Pages (ES)
Trial 2.500 / one time* 8.77 10.00 9.62 9.26 9.43 9.09
Basic 20.000 / month** 70.18 80.00 76.92 74.07 75.47 72.73
Advanced 50.000 / month** 175.44 200.00 192.31 185.19 188.68 181.82
Pro 500.000 / month** 1.754.39 2.000.00 1.923.08 1.851.85 1.886.79 1.818.18
Agency 1.500.000 / month** 5.263.16 6.000.00 5.769.23 5.555.56 5.660.38 5.454.55
* One time tokens: Can be purchased additionally at any time (Pay-as-you-go). They carry over to the next month. Pricing is lower the higher the subscription plan is. Expire after 12 months if not used.
** Recurring tokens: Come with a subscription plan. Will be renewed each month. Remaining tokens do not carry over to the next month.
Version 1.2

Supported Entities

Financial Data

  • Credit Credit Card Security Code
  • Credit Credit Card Expiry
  • Credit Credit Card Number
  • IBAN
  • SWIFT

Location Data

  • Building Number
  • Street
  • City
  • State
  • Country
  • Zip Code
  • Location

Identity Data

  • First Name
  • Last Name
  • Social Security Number
  • Passport Number

Account & Credentials

  • Account Id
  • Username
  • Document Id (e.g. invoice number)
  • Patient Id

Contact & Online Data

  • Email
  • Phone Number
  • Url
  • Ip Address

Other Data

  • Date
  • Time
  • Organization
  • Order Id
  • License Plate Number
  • Vehicle Identification Number
Entities are detected based on supported languages