Streamline workflows and drive productivity
Build with the world's most accurate ASR model
Compared by relative strength
Set up and see results in no time. Our easy-to-use API is designed by developers for developers. Converting audio to text, especially for podcasts, is made simple and efficient, allowing you to reach a wider audience with ease.
We deliver a standard of speech-to-text accuracy greater than any other voice recognition software out there.
You’re in safe hands. Amberscript is GDPR compliant and ISO27001 & ISO9001 certified.
Do you want to gain insights into your phone conversations? Do you want to subtitle videos at scale? Or do you want to index your video-archive?
You can easily automate workflows and save time on your transcription process by using our speech-to-text API. Our API is quite simple. It transfers video or audio files to our ASR server and returns the transcript in the desired format, allowing you to text transcribe audio automatically.
The prices for our automatic speech-recognition API are up to 10x lower than when uploading your audio and video. Our team will contact you to explain our pricing structure. Testing our API is for free.
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Our API is available in more than 80 languages. Our audio to text converter offers features like dual-channel audio, automatic punctuation and casing, speaker labels, timestamps, and support for all audio/video file formats.
Please contact us for our specialized APIs for phone calls, texts perfected by humans, and real-time audio or video.
See API docs
We combine the world’s latest knowledge in technology, language, and science to develop customer-specific language models for distinctive use cases. We do so by exploiting existing datasets or by creating a new dataset from scratch. Our goal is to create language models that are fully tailored to the language use of your organization.
Transcribing audio to text is widely used for various applications, including creating accurate records of important discussions.
Assistive voice technology features capacities to convert spoken words and voice commands into text, based on speech-to-text APIs such as Amberscript.
Modern language learning apps also benefit from using speech-to-text technology to recognize what users are saying in multiple languages.
Speech-to-text software is also useful for sorting large audio or video archives, enabling you to categorize a large number of audio and video files.
For services that increase accessibility for people with hearing difficulties, speech-to-text software can help recognize voice commands accurately.
In subtitling and content creation, a speech-to-text API helps to create text transcription quicker, which helps content reach a wider audience.
No, you can upload as many files as you would like.
No, our standard API does not support language detection, however please reach out to our sales team here in order to find the perfect solution for your situation as we do have access to this technology.
Yes, our services are offered on the cloud.
We do have an on-premise service, which is deployed in customized high volume cases. Please reach out to [email protected] to find out more.
Yes we do, we provide real-time transcription and subtitling services regularly in a variety of use cases. For more information please reach out to our sales team here.
Include information such as start- and end-time per word, confidence scores, question indications, punctuation (…)
Possible to export with or without timestamps and speaker changes
Ideal to create automated subtitles. Settings for the appearance of the subtitles can be determined individually