Using high quality prompts and call flows developed by our expert user interface (UI) designers, optimized grammars developed by our speech scientists, and OSR’s accurate and flexible recognition algorithms, core OSDMs efficiently capture caller information in a single step. This means that using OSDMs, just one turn in the conversation is required to gather information for the following types of information in application:

OSDM Task	Description
Yes/No	Captures the response to yes/no questions.
Alpha-Numeric	Captures a connected string of up to 20 alpha or digit characters.
Digits	Optimized for digit recognition accuracy, this OSDM allows developers to specify the length of the digit string to be recognized to further improve results.
Natural Number	Handles pronunciation of digit sequences as natural numbers (such as one hundred twenty three instead of one two three).
Record	Simply records a caller’s input. No recognition is carried out.
Postal Code	Captures numeric or alphanumeric postal codes in a variety of countries.
Phone Number	Accepts numbers that follow the North American Numbering Plan with 10-digit (long distance), 7 digit (local) or 3-digit numbers (such as 411, 911). For other languages & locales, the OSDM reflects the appropriate local format.
Currency	Collects a spoken value representing currency amounts, using digits or natural numbers.
Date	Collects a date spoken in multiple formats (plus tomorrow, today and yesterday). For ease of development, the OSDM maps all input formats into YYYYMMDD format internally.
Credit Card Number	Collects a credit card number & determines what type of credit card the number refers to (e.g., VISA, MasterCard…). Verifies that the number is legitimate.
Credit Card Expiration	Collects a date (typically in month/year or month/last day of month/year format) representing the expiration date of a credit card.
Social Security No.	Collects U.S. Social Security & British National Insurance Numbers.
Time of Day	Once again, multiple time formats are supported.

OSDMs are available in a variety of languages, including English (US, UK, Australian), Spanish (US), French (Canadian, European), and Japanese.