Amazon Transcribe adds support for AMR, Ogg and WebM file formats
Amazon Transcribe is an automatic speech recognition (ASR) service that makes it easy for you to add speech-to-text capabilities to your applications. Today, we are excited to announce native support for media files in AMR, AMR-WB, Ogg and WebM format by Amazon Transcribe. Previously, you were required to convert these file formats into supported formats like WAV, FLAC, MP3 or MP4 which added extra costs and scaling challenges for large workloads. You can now directly submit media files in AMR, AMR-WB, Ogg, and WebM format to Transcribe APIs. Amazon Transcribe supports OPUS encoded audio for files in Ogg and WebM format.
Amazon Transcribe is an automatic speech recognition (ASR) service that makes it easy for you to add speech-to-text capabilities to your applications. Today, we are excited to announce native support for media files in AMR, AMR-WB, Ogg and WebM format by Amazon Transcribe. Previously, you were required to convert these file formats into supported formats like WAV, FLAC, MP3 or MP4 which added extra costs and scaling challenges for large workloads. You can now directly submit media files in AMR, AMR-WB, Ogg, and WebM format to Transcribe APIs. Amazon Transcribe supports OPUS encoded audio for files in Ogg and WebM format.
Amazon Transcribe enables organizations to increase the accessibility and discoverability of audio and video content. Now customers can transcribe voicemails recorded in AMR format to provide visual voicemail to users. Customer contact centers can convert call recordings which are recorded in Ogg format directly into text and analyze the data for actionable intelligence with Transcribe. Media content producers can also automate subtitling workflows for audiovisual media in the popular WebM format without the need for converting it into another format.
Support for these new formats is available for batch transcription at no additional cost in all the AWS regions where Amazon Transcribe is available. To learn more, visit the Amazon Transcribe documentation page.