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Automatically convert your audio and video to text using our high-end AI engines.
Let our transcribers perfect your text.
Add subtitles and captions to your videos automatically using our subtitle generator.
Original captions or translated subtitles are created and edited by our subtitlers.
Translated subtitles of unparalleled quality.
Add our Speech-to-text API to your stack and/or request a tailored model.
For policy makers, public organizations, and NGOs.
For doctors, patient notes, medical research interviews.
For law firms, courts, and compliance teams.
For filmmakers, production companies, and TV networks.
For universities, e-learning platforms, and schools.
For accessible content and compliance with accessibility regulations.
For easier search and quoting of key information.
For better SEO, accessibility, and repurposing podcast content.
For faster analysis and easier reporting of research findings.
Explore the world of Transcription and Subtitles.
Read how Amberscript helps customers achieve their business goals.
Find the answer on all questions you might have when working with Amberscript.
Learn more about our integration partners.
Get in touch and we will answer your questions.
We make audio accessible.
4.3 on Trustpilot
4.5 on Google
Bulgarian, Catalan, Danish, Dutch, English, Finnish, French, German, Greek, Hungarian, Italian, Lithuanian, Norwegian, Polish, Portuguese, Romanian, Russian, Spanish, Turkish and Swedish.
Customer calls – Banking – Insurances – Airlines – Manufacturing – Media – Automotive – Energy – Manufacturing – Telecom
On our data recollection platform, we can transcribe snippets or simulate a variety of audio settings in order to generate the perfect audio dataset for your training requirements.
We always work with native speakers and source speakers who match your demands, available in over 50 languages and more than 75 dialects.
Quick turnaround for all your files
Enabling an accurate flow of audio-to-data
GDPR compliant security and safety
Our native speakers will record spontaneous or scripted speech and build a database of audio monologues or dialogues in the frequency you wish.
Our language experts will transcribe audio snippets to text to help your models understand the nuances of speech.
Our language experts determine emotion, categorize the topic, or identify an important event in a snippet of audio.
Our language experts will label people, places, organizations and events in texts.
Sentiments in a text are classified and not easily readable texts are transcribed.
Our pool of transcribes, subtitlers, and annotators are flexible to work in a variety of ways.
Get a project manager assigned dedicated to your success and start working immediately to receive your data fast and at scale
We deliver data annotation for speech-to-text solutions. However, if you have a special request, please contact our sales team here.
We work with a vast network of professional annotators, who will be trained to your annotation guidelines. All annotations go through rigorous quality checks using our sophisticated data annotation AI.
Amberscript’s IT infrastructure is built on the server infrastructure of Amazon Web Services located in Frankfurt, Germany. All data that is processed by Amberscript will be stored and processed on highly secured servers with regular back-ups on the same infrastructure.
Data Annotation is the process of labeling data, which could be in various forms such as images, video, audio or text. Basically data annotation is done using various tools like bounding, semantic segmentation etc. Data labeling is usually done to train various computer models.
Should you wish to make use of our data annotation services, we will assign a project planner to your project, who will be in close contact to discuss the details and timeline.
Depending on your needs, we can provide different acoustic models or different linguistic models. To find out more about this, please contact our sales team here.
HVA (Amsterdam University of Applied Sciences) – Read case study.
Our research group conducts a lot of interviews. Previously, we worked with our own pool of transcribers. I’m glad that now our interviews are all transcribed in one place, it saves a lot of time in arranging everything.
Grundl Institute – Read case study
Amberscript offers their service cheaper than the competitors, thanks to a largely automated process. Besides, the customer service is great. Usually, everything runs so smoothly that I don’t even notice anything during the whole process.
Company Webcast – Read case study
In cooperation with Company Webcast, the leading webcasting provider in the Netherlands, Amberscript developed a speech recognition which is specifically trained on political language. Google’s recognition simply wasn’t accurate enough for political terms, names of political parties, or legislations, which are frequently discussed in our clients’ meetings.
Original captions or translated subtitles are created and edited by our transcribers.
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