Amberscript, headquartered in Amsterdam, helps users transform audio and video to text and subtitles through the use of its AI-driven on-demand software service.
$10
Prepaid: 1 hour of audio or video uploaded
Azure AI Speech
Score 8.1 out of 10
N/A
The Azure AI Speech service provides a range of speech recognition and generation capabilities including speech transcription, text-to-speech and speech translation. It provides a range of speech recognition and generation capabilities including speech transcription, text-to-speech, speech translation, and speaker recognition.
Amberscript is great for transcribing individual audio (or video) files that reside on your computer. The ability to view and edit the text of the text file (to correct or remove data that you don't want to be shared) before the output is a great option. I feel it may be limited in the ability to transcribe live audio records such as phone calls or meetings, where we would find it very useful to have immediate access to a transcript (for coaching or sharing purposes). I feel the needs are more designed as a solution for pre-existing audio/video files versus working in real-time.
This service is well suited for scenarios where you need to integrate text-to-speech and/or speech-to-text into applications. Within our organisation, it is primarily used by students for development purposes to enable said functionality but is also used to provide accessibility to students who have hearing-related issues. Its multi-language support is also beneficial for our international students who have English as a second language and are therefore able to rapidly translate any text or speech that they do not understand.
I feel that Amazon Transcribe was much more feature-rich, allowing for a much more real-time solution, whereas Amberscript is great for transcribing existing call recordings (or video files) to a rich text file. Amazon Transcribe will do both, while Amberscript only does the latter. For our business, this was a significant feature loss for Amberscript.
Azure Cognitive Speech Services is simple and the interface is not complicated even for those getting started with these customer services tools and the best voice recognition. Setting the platform dashboard preferences is also an easy process and with the ability to manage workflow and document management the system functions are stable and effective.
Having an automated speech-to-text conversion allows us to reduce human hours, which would normally take notes or have to review long audio files.
Being able to transcribe multiple call recordings into a searchable text format allows for coaching of issues in a much more efficient format than an audio recording.
