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.
$1.40
per minute
LinguaScribe
Score 0.0 out of 10
N/A
LinguaScribe is a language processing SAAS that can convert audio and text interchangeably in any language of choice. It can take an audio clip in English and convert it to Chinese. It can do speech to text, text to speech, text to text and speech to speech. Supports text processing in 108 languages, has 322 life-like voices & perfect automation. Integrates with language APIs of the world like Amazon, Google, IBM & Microsoft. It comes with 24/6 live chat support and works on any computer.
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 …
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.
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.
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.