This page documents production updates to Speech-to-Text. You can periodically check this page for announcements about new or updated features, bug fixes, known issues, and deprecated functionality.
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May 07, 2021
March 23, 2021
Speech-to-Text now allows you to upload your longrunning transcription results directly into a Cloud Storage bucket. See the asynchronous speech recognition documentation for more details.
March 15, 2021
January 26, 2021
Speech-to-Text now supports regional EU and US endpoints. See the multi-region endpoints documentation for more information.
August 25, 2020
Speech-to-Text has launched the new On-Prem API. Speech-to-Text On-Prem enables easy integration of Google speech recognition technologies into your on-premises solution.
March 05, 2020
Cloud Speech-to-Text now supports seven new languages: Burmese, Estonian, Uzbek, Punjabi, Albanian, Macedonian, and Mongolian.
The speaker diarization, automatic punctuation, speech adaptation boost, and enhanced telephony model features are now available for new languages. See the supported languages page for a complete list.
November 26, 2019
Automatic punctuation is now available for general use. Cloud Speech-to-Text can insert punctuation into transcription results, including commas, periods, and question marks.
July 23, 2019
Cloud Speech-to-Text has several endless streaming tutorials that demonstrate how to transcribe an infinite audio stream.
You can now use speech adaptation to provide 'hints' to Cloud Speech-to-Text when it performs speech recognition. This feature is now in beta.
June 18, 2019
April 04, 2019
February 20, 2019
Data logging is now available for general use. When you enable data logging, you can reduce the cost of using Cloud Speech-to-Text by allowing Google to log your data in order to improve the service.
Enhanced models are now available for general use. Using enhanced models can improve audio transcription results.
Selecting a transcription model is now available for general use. You can select different speech recognition models when you send a request to Cloud Speech-to-Text, including a model optimized for transcribing audio data from video files.
Cloud Speech-to-Text can transcribe audio data that includes multiple channels. This feature is now available for general use.
You can now include more details about your audio source files in transcription requests to Cloud Speech-to-Text in the form of recognition metadata, which can improve the results of the speech recognition. This feature is now available for general use.
July 24, 2018
Cloud Speech-to-Text provides word-level confidence Developers can use this feature to get the degree of confidence on a word-by-word level. This feature is in Beta.
Cloud Speech-to-Text can automatically detect the language used in an audio file. To use this feature, developers must specify alternative languages in their transcription request. This feature is in Beta.
Cloud Speech-to-Text can identify different speakers present in an audio file. This feature is in Beta.
Cloud Speech-to-Text can transcribe audio data that includes multiple channels. This feature is in Beta.
April 09, 2018
Cloud Speech-to-Text now provides data logging and enhanced models. Developers that want to take advantage of the enhanced speech recognition models can opt-in for data logging. This feature is in Beta.
Cloud Speech-to-Text can insert punctuation into transcription results, including commas, periods, and question marks. This feature is in Beta.
You can now select different speech recognition models when you send a request to Cloud Speech-to-Text, including a model optimized for transcribing audio from video files. This feature is in Beta.
You can now include more details about your audio source files in transcription requests to Cloud Speech-to-Text in the form of recognition metadata, which can improve the results of the speech recognition. This feature is in Beta.
January 16, 2018
Support for the
encoding has been expanded to support 8000 Hz, 12000 Hz, 16000 Hz, 24000 Hz, or 48000 Hz.
August 10, 2017
Time offsets (timestamps) are now available.
enableWordTimeOffsets parameter to true in your request configuration
and Cloud Speech-to-Text will include time offset values for the beginning and
end of each spoken word that is recognized in the audio for your request.
For more information, see
Time offsets (timestamps).
Cloud Speech-to-Text has added recognition support for 30 new languages. For a complete list of all supported languages, see the language support reference.
The limit on the length of audio that you can send with an asynchronous recognition request has been increased from ~80 to ~180 minutes. For information on Cloud Speech-to-Text limits, see the quotas & limits. For more information on asynchronous recognition requests, see the transcribing long audio files guide.
April 18, 2017
Release of Cloud Speech-to-Text v1.
v1beta1 release of Cloud Speech-to-Text
has been deprecated. The
continues to be available for a period of time as defined in the
terms of service.
To avoid being impacted when the
is discontinued, replace references to
v1beta1 in your code with
v1 and update your code with valid
v1 API names and values.
language_code is now required with requests to Cloud Speech-to-Text. Requests
with a missing or invalid
language_code will return an error.
(Pre-release versions of the API used
en-US if the
language_code was omitted from the request.)
SyncRecognize is renamed to
v1beta1/speech:syncrecognize is renamed to
v1/speech:recognize. The behavior is unchanged.
sample_rate field has been renamed to
sample_rate_hertz. The behavior is unchanged.
EndpointerType enum has been renamed to
SpeechEventType enums have been removed.
has been renamed to
END_OF_SINGLE_UTTERANCE. The behavior is unchanged.
result_index field has been removed.
speech_context field has been replaced by the
speech_contexts field, which is a repeated field. However, you can specify,
at most, one speech context. The behavior is unchanged.
OGG_OPUS codecs have been
added to support audio encoder implementations for legacy applications.
We do not recommend using lossy codes, as they result in a lower-quality
speech transcription. If you must use a low-bitrate encoder,
OGG_OPUS is preferred.
You are no longer required to specify the encoding and sample rate for WAV or FLAC files. If omitted, Cloud Speech-to-Text automatically determines the encoding and sample rate for WAV or FLAC files based on the file header. If you specify an encoding or sample rate value that does not match the value in the file header, then Cloud Speech-to-Text will return an error. This change is backwards-compatible and will not invalidate any currently valid requests.