Today we've released a major improvement to our ITN (Inverse Text Normalization) model. This results in better formatting for entities within the transcription, such as phone numbers, money amounts, and dates.

For example:

Money:

• Spoken: "Hey, do you have five dollars?"
• Model output with ITN: "Hey, do you have $5?"

Years:

• Spoken: "Yes, I believe it was back in two thousand eight"
• Model output with ITN: "Yes, I believe it was back in 2008."