We use cookies to ensure that we give you the best experience on our website. If you continue to use this site we will assume that you are happy with it. Privacy policy
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 filmmakers, production companies, and TV networks.
For universities, e-learning platforms, and schools.
For policy makers, public organizations, and NGOs.
For law firms, courts, and compliance teams.
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.
More and more companies see the value of integrating AI into their operations. Integrating Large Language Models (LLMs) into day-to-day operations can deliver powerful benefits, such as streamlined processes, data-driven insights, and improved knowledge sharing. However, the success of LLMs depends on high-quality data. This is where transcription services become essential, transforming spoken content such as meetings, calls, and interviews into valuable LLM training data. In this article, you’ll learn how to train LLMs to meet your business needs effectively, why data quality is critical, and how transcription can help you train your AI model.
A Large Language Model (LLM) is a machine-learning model that understands, generates and manipulates human-like text. These programs are trained on massive datasets, hence the name ‘large’, to understand how language works and to generate text by finding and storing text patterns. LLM uses deep learning to understand how characters, words, and sentences work together, resulting in an AI model that generates, for example, answers, content, translations, and summaries.
Before discussing why LLM AI model training benefits your business, it’s good to know how LLM training works. Below is a brief explanation of the steps in the AI model training process:
LLMs typically start with unsupervised learning to develop a broad understanding of patterns, structures, and relationships within the text. Supervised learning is then used to fine-tune the model for specific tasks, improving accuracy and relevance.
Training AI models for your business can transform the way your organisation operates. It brings many benefits that drive more efficiency, innovation, and growth. Benefits include:
You might be thinking, nice AI model training, but how do I get the right data to make the model fit my organisation? Chances are you already have this data, such as call logs or training videos. By using this existing information related to your company, you can effectively train your AI models. The model learns from real interactions, becoming an invaluable asset that evolves with your business needs.
Reading tip: The Future of Call Centers: How AI and Transcriptions Are Transforming Customer Interactions
As you already read above, AI models are trained with large amounts of text, so you basically need text to help the model understand language patterns. In fact, data is the foundation of effective AI model training.
A powerful way to enrich data sets is through transcription, which converts spoken content, such as meetings, interviews, and podcasts, into structured text. This process transforms audio data into valuable, searchable resources that can be used to train AI models. You can create your own transcriptions from any available source, but it is faster to use a transcription service to do it that can create high-quality, valuable text for the AI model. Below are two examples of how you can use transcription for your AI training efforts:
You can use call transcripts to train AI chatbots or virtual assistants to understand customer interactions better. Let us give you an example. Suppose a significant number of customers contact your customer service department regarding billing issues. Customer service agents may find themselves overwhelmed with the task of answering all the calls. This process can be streamlined by having your AI tool analyse these call logs to learn common questions and answers. This enables it to address similar concerns quickly and accurately, resulting in a more efficient support system.
Another example of using transcription to train your AI model is to store company knowledge. During internal meetings, training sessions and other forms of interaction, a lot of information is shared verbally, which can be lost if not properly stored. By transcribing internal conversations, you can create a comprehensive, searchable knowledge base for your employees. They can easily access past interactions to make informed decisions, fostering a culture of knowledge sharing and collaboration between teams.
Training a Large Language Model for your business may sound like a difficult or long-term task. Indeed, factors such as model complexity can affect the time it takes to train an AI model, but it doesn’t have to be difficult. By following a few steps, you can harness the power of Large Language Models to improve your operations and decision-making. Let’s break it down into manageable actions:
The first step is to set a goal using the SMART approach. Start by identifying what you want to achieve with your AI model. Do you want better customer support, a smarter internal knowledge system, or perhaps more insights from your data? With a clear goal in mind, you can tailor your approach and measure success effectively.
The next step, of course, is to gather relevant and accurate data. This can include a variety of sources, such as documents, chat logs, and transcripts of calls or meetings. By compiling diverse data sets, you ensure that your model has a rich foundation from which to learn. Remember that the quality and relevance of your data will significantly impact the model’s performance, as it equips your model with the necessary context and nuance to understand and generate human-like responses.
Finally, it’s time to train the AI model. You can refine an existing AI model your company already uses. Or you can start from scratch, depending on your needs and resources. This process involves feeding your collected data into the model, allowing it to learn patterns and make predictions based on the information provided.
Now that you understand the value of training your Large Language Model AI model and the benefits it can bring to your business, it’s time to take action. By using accurate, high-quality transcriptions, you can turn spoken content into powerful LLM training data that will improve the LLM’s performance. At Amberscript, we are committed to helping you by creating fast and precise transcripts, tailored to your needs. Start today to unlock the full potential of AI in your operations and drive your business forward.
Did you know that 1.3 billion people worldwide live with disabilities? Yet, about 95% of businesses still don’t meet accessibility standards (World Health Organization). This highlights an urgent need for you to prioritize accessibility in your products and services. By doing so, you’re not just complying with the law—you’re helping build an inclusive society where everyone can participate equally.
The European Accessibility Act (EAA) takes this idea forward by setting clear rules to make goods and services accessible across the EU.
The European Accessibility Act is a directive adopted by the EU to establish common accessibility standards across member states. It aims to remove barriers faced by people with disabilities in accessing goods and services, ensuring they can participate equally in physical and digital environments.
The EAA will come into effect on June 28th, 2025, giving businesses and organizations time to adapt and comply with its requirements.
The EAA is primarily designed to help individuals with disabilities, including:
If you operate in any of the 27 EU member states or offer goods and services to customers in the EU, this law applies to you—even if your business is based outside the EU.
The industries that are the most affected by the EAA include:
Keep in mind that small businesses with fewer than 10 employees and an annual turnover below €2 million don’t have to comply with this law.
The consequences of failing to meet EAA standards vary by country. For example:
Failure to comply with accessibility standards can lead to other consequences. These can include mandatory accessibility audits, removal of non-compliant products or services from the market, and restrictions on doing business within the EU. Non-compliance can also damage your company’s reputation, causing you to lose customers.
The EAA has clear accessibility requirements you must follow to ensure inclusivity across their products and services. Some key examples include:
Web Content Accessibility: Websites and apps must incorporate alt text for images, captions for video content, and navigability through keyboards to support users with visual or motor impairments.
Public Interfaces: Physical kiosks, such as ticket machines or ATMs, need features like braille keypads, audio guidance, and designs that are accessible to wheelchair users.
Digital Media: Video players, e-learning platforms and learning management systems (LMS) need to ensure that their interfaces are fully accessible by including features such as screen reader compatibility, keyboard navigation and providing transcripts or subtitles for audio and video content.
Consumer Products: Devices, such as smartphones or tablets, should integrate assistive technologies like voice commands, high-contrast modes, and screen readers.
Transportation Services: Real-time updates about routes or schedules should be available in both audio and visual formats, ensuring everyone can access travel information easily.
The European Accessibility Act (EAA) establishes a common framework for accessibility across the EU, but each member state is responsible for incorporating it into its national legal system. This means that while the core accessibility requirements remain the same, the way they are applied, monitored, and enforced can differ between countries.
For example, in Sweden, the EAA has been transformed into national law. The Swedish law focuses on digital services such as e-commerce, banking, and telecommunications, requiring businesses to ensure that their online platforms and customer interactions meet accessibility standards.
In Germany, the EAA has been incorporated into the Barrierefreiheitsstärkungsgesetz (BFSG), or Accessibility Strengthening Act. While this law aligns with the EAA, it also introduces additional national requirements. A key focus of the German approach is that accessibility should be built into products and services from the beginning, rather than being added later.
Since each EU country tailors the EAA to its national legal framework, you need to research and understand country-specific obligations. Checking official government guidance, consulting national regulatory bodies, and seeking legal advice will help ensure full compliance.
Once you understand the national regulations, they should evaluate their current level of accessibility by conducting a full digital accessibility audit. This process helps identify barriers that may prevent users with disabilities from accessing digital products and services. The audit should cover all digital platforms, including websites, mobile applications, digital documents, and online services.
A thorough audit involves both automated and manual testing to ensure compliance with recognized accessibility standards such as WCAG 2.1 (Web Content Accessibility Guidelines) and EN 301 549 (European ICT Accessibility Standard). It is also beneficial to conduct real-world testing with individuals with disabilities, as this helps understand the real usability challenges. The findings from the audit will serve as your roadmap for necessary improvements, helping address any accessibility gaps before the 2025 deadline.
After completing an accessibility audit, you should create a structured action plan to address the issues. This plan should outline the necessary improvements, set clear deadlines, and allocate the appropriate resources to ensure that accessibility is fully integrated into digital services.
Ensuring compliance with the EAA is not just about technical fixes—it requires a company-wide commitment to accessibility. Employees involved in web development, content creation, customer service, and compliance should be trained on accessibility best practices and their role in maintaining compliance. By providing ongoing training and fostering awareness within your organization, you can ensure that accessibility remains a priority at every stage of product and service development.
Since accessibility regulations can be complex, you may benefit from consulting with accessibility experts, legal professionals, or advocacy organizations. External specialists can help conduct detailed audits, provide recommendations for meeting national accessibility standards, and assist with user testing to ensure that digital platforms are inclusive.
For businesses operating in multiple EU countries, accessibility consultants can offer valuable guidance on navigating differences in national regulations and ensuring compliance across all markets. Engaging with experts can speed up the compliance process and help you develop a strong accessibility strategy and avoid fines.
Achieving compliance with the EAA is not a one-time effort. You must continuously monitor and test your digital platforms to maintain accessibility as technology, regulations, and user expectations evolve. Regular usability testing with people with disabilities ensures that services remain inclusive, while periodic audits help identify new barriers that may emerge over time.
As accessibility regulations continue to evolve, you must stay informed about legal updates and emerging best practices. Keeping track of changes at both the EU and national levels is essential to maintaining compliance. You should conduct regular reviews of their digital accessibility performance and make adjustments as needed. Assigning internal accountability, such as an accessibility officer or dedicated compliance team, can help ensure that accessibility remains a long-term priority.
The European Accessibility Act 2025 is a significant step towards an inclusive society. By complying with its requirements, you can:
✔ Enhance your reputation✔ Reach a wider audience✔ Avoid legal penalties✔ Contribute to a fairer future
With the deadline approaching, now is the time to start making the necessary changes to stay compliant.
Amberscript is proud to announce its recent certification by the Trusted Partner Network (TPN), a milestone achievement that highlights our commitment to excellence in the transcription and subtitling industry. The TPN certification, governed by the Motion Picture Association of America and the Content Delivery & Security Association, is a badge of honor for media service providers. It signifies adherence to the highest standards of content security and integrity, essential in our field where handling sensitive media content is a daily responsibility.
This certification is not merely about compliance with industry norms. It reflects Amberscript’s role as an industry leader and constant attempt to elevate the standards and practices in media services. Our team’s dedication to innovation and quality has positioned us at the forefront of the transcription and subtitling sector, distinguishing us in a competitive landscape.
Joining the ranks of TPN-certified companies, Amberscript reinforces its commitment to secure and professional handling of all media content. This achievement aligns with our mission to offer more than just exceptional transcription and subtitling services; it’s about being a trusted partner for our clients, ensuring that every project we handle is managed with the utmost care and meets the highest industry standards.
In today’s fast-paced academic environment, time is of the essence. With an increasing amount of information and a limited amount of time, academics are always looking for ways to optimize their workflow. One way to save time is by using speech to text tools. These tools can help academics transcribe their lectures, research interviews, and other audio content quickly and accurately. In this article, we’ll look at some of the best speech to text tools for academics and discuss their features and benefits.
Speech to text tools have become increasingly important for academics as they can save time and enhance efficiency in their research, writing, and teaching. These tools allow academics to transcribe lectures, interviews, and research data into written form quickly and accurately, without having to spend hours typing or listening to recordings repeatedly.
Additionally, speech to text tools can be beneficial for individuals with hearing or visual impairments, providing a way to access information that might otherwise be inaccessible. These tools can also help with language learning by providing accurate transcriptions of spoken language.
Moreover, with the rise of remote learning and virtual conferences, speech to text tools have become more essential than ever. Academics can use these tools to transcribe virtual meetings, webinars, and online classes, making it easier to review and share important information.
Overall, speech to text tools are a valuable asset for academics, enabling them to work more efficiently, reach a wider audience, and provide equal access to information for all individuals. If you want to know more, you can check out our detailed guide on transcription.
There are several types of speech-to-text tools available to academics, each with its own unique features and advantages. The most common types of tools include automatic transcription software, dictation software, and voice recognition software. Automatic transcription software uses advanced algorithms to transcribe speech into text in real-time, while dictation software allows users to speak their ideas and notes into a microphone for automatic transcription. Voice recognition software, on the other hand, uses machine learning and artificial intelligence to recognize and transcribe speech into text. Amberscript is a leading provider of high-quality automatic transcription software, with a user-friendly platform that makes it easy for academics to transcribe lectures, interviews, and research data with accuracy and speed. To find out more about Amberscript’s speech to text tools you can check out our transcription page with all the information you need.
Accuracy and reliability are two essential features to consider when choosing a speech to text tool for academic purposes. The tool must be able to accurately transcribe the spoken words into text without significant errors or omissions. The transcription should also be reliable, meaning it is consistent and does not fluctuate in quality from one use to the next. This feature is especially important for academics who need to rely on the tool for research or to create transcripts of lectures and presentations. Amberscript’s speech to text tool has a high accuracy rate and uses advanced speech recognition technology to ensure reliable transcriptions. Its algorithms and machine learning models are continually being improved, resulting in even more accurate and reliable transcriptions over time.
Customization and flexibility are important features to consider when choosing a speech to text tool for academic use. A good tool should allow for customization of settings such as language, dialect, and accent recognition, as well as the ability to adjust the transcription speed and accuracy. Flexibility is also key, as academics may need to use the tool in various contexts and for different types of audio, such as lectures, interviews, or recordings with multiple speakers. Amberscript is a great option for those looking for customization and flexibility in their speech to text tool, as it offers a range of settings that can be tailored to individual needs and preferences.
Integration with other tools and software is an important feature to consider when choosing a speech to text tool. The ability to integrate with other software, such as word processors, note-taking apps, and transcription management systems, can significantly improve the efficiency and productivity of the transcription process. Some speech to text tools offer built-in integrations with popular software, while others may require the use of third-party integrations or custom programming. It is important to consider the specific needs of your workflow and ensure that the speech to text tool you choose is compatible with the other tools you use. Amberscript, for example, offers integrations with various transcription management systems, making it easy to manage and organize your transcriptions in one place.
When selecting a speech to text tool, it’s essential to ensure that it supports the language(s) you need to transcribe accurately. Many tools offer support for multiple languages, but the level of accuracy may vary. Additionally, it’s also crucial to consider the tool’s ability to recognize and transcribe different accents accurately. For instance, if you’re transcribing a lecture from an academic with a non-native accent, the tool should be able to accurately transcribe the speech, accounting for any differences in pronunciation or inflection. When looking for a speech to text tool, consider companies like Amberscript that offer support for a wide range of languages and accents, ensuring that your transcripts are accurate and reliable, regardless of the speaker’s accent or native language.
When choosing a speech to text tool, it’s important to consider its compatibility with different devices and platforms. You want a tool that can be used on multiple devices, such as smartphones, tablets, and computers, and that works seamlessly across different operating systems, such as iOS, Android, Windows, and macOS. Additionally, the tool should be compatible with different web browsers, so you can use it on any website or application you need. A cloud-based tool, such as Amberscript, can be a good option since it allows you to access your transcripts from anywhere with an internet connection, regardless of the device or platform you are using.
In this list you can see an overview of some of the best speech to text tools, but if you wanna learn more about all programs, we recommend you too read our general speech to text tools guide on our blog.
Dragon NaturallySpeaking is a top-rated speech to text tool for academics that has been available since the early 1990s. It is known for its high level of accuracy and reliability in transcribing speech into text. The software allows users to customize and train it to recognize specific vocabulary and syntax, making it an excellent choice for those with specialized academic terminology. Dragon NaturallySpeaking can be integrated with various software, including Microsoft Office, and has support for multiple languages and accents. It is compatible with different devices and platforms, making it a versatile tool for academics on-the-go. While Dragon NaturallySpeaking may be relatively expensive compared to other speech to text tools, its robust features and reliable performance make it an excellent investment for academics who require high-quality transcription.
Google Docs Voice Typing is a free and easy-to-use speech-to-text tool that allows users to dictate their documents directly into Google Docs. The tool works seamlessly with Google’s suite of productivity tools, making it an attractive option for academics who use Google Docs for their work. Google Docs Voice Typing supports over 100 languages and accents, including English, Spanish, French, German, Chinese, and Japanese, to name a few. Users can also add custom words and phrases to the tool’s dictionary, further improving accuracy and productivity. Additionally, the tool is cloud-based, meaning that users can access their documents from any device with an internet connection. Overall, Google Docs Voice Typing is a reliable and convenient option for academics looking for a speech-to-text tool that integrates well with their existing productivity tools.
Otter.ai is another popular and powerful speech to text tool used by academics. It offers real-time transcription and can handle multiple speakers, making it ideal for lectures, seminars, and group discussions. Otter.ai has a user-friendly interface that is easy to navigate, and it provides features such as speaker identification, keyword searching, and collaboration options that make it a great choice for academics.
One of the best things about Otter.ai is its ability to learn and improve over time, providing more accurate transcriptions as you use it more frequently. It is also compatible with a range of devices and platforms, including Windows, iOS, and Android.
Otter.ai offers a free version with some limitations, as well as paid plans with more features and higher transcription limits. Its affordability and versatility make it a great option for academics looking for a reliable and efficient speech to text tool.
Transcribe is a user-friendly tool that is great for students and researchers who need to transcribe interviews, focus groups, or lectures. It has a simple interface that makes it easy to upload audio or video files and start transcribing. Transcribe also allows users to add speaker labels and timestamps to the transcriptions, making it easier to identify who is speaking and to jump to specific sections of the audio or video.
Transcribe has a range of features that make it a popular choice for academics, including the ability to slow down or speed up audio playback, and the option to loop sections of audio that need to be transcribed more accurately. Transcribe also offers automatic transcription with speech recognition technology, which can help speed up the transcription process significantly. Additionally, the tool has a powerful search function that allows users to search for keywords within the transcription.
Transcribe is available on Mac, Windows, and Linux, and has a mobile app for iOS devices. It offers a free trial, and pricing starts at $20 per month for unlimited audio and video transcription. Overall, Transcribe is an excellent tool for academics who need to transcribe audio or video content quickly and accurately.
Descript is a powerful audio and video editing tool that also includes a speech to text feature. With Descript, users can easily transcribe audio and video files into text with high accuracy. In addition to transcription, Descript also offers a variety of other features such as speaker labeling, editing tools for text and audio, and the ability to add music and sound effects to your content. Descript is available for both Mac and Windows operating systems, and offers integrations with popular video conferencing tools like Zoom and Google Meet. Descript’s intuitive interface and advanced features make it a great option for academics looking for a speech to text tool that can also assist with editing and producing high-quality audio and video content.
Amberscript is a web-based automatic speech recognition tool that provides accurate and reliable speech-to-text transcription services. Its advanced algorithm can transcribe various accents, including non-native English speakers, making it a perfect tool for international academics. Amberscript offers a range of customization options and flexibility, allowing users to modify transcriptions and easily make corrections. Its user-friendly interface and easy-to-use editor make it an excellent option for academics who want to transcribe interviews, lectures, and research data. Additionally, Amberscript offers a built-in translation feature that can quickly translate transcriptions into multiple languages. Its compatibility with various platforms and devices, including Microsoft Word and Google Drive, makes it a versatile tool for academics who need to collaborate and share their transcriptions with others.
When choosing the best speech to text tool for your needs, it’s important to consider your personal preferences and requirements. For example, some users may prioritize accuracy and reliability above all else, while others may prioritize customization and flexibility. Additionally, you may want to consider the language support and accents of the tool, as well as its compatibility with different devices and platforms. It’s also important to consider any specific features that you require, such as the ability to integrate with other tools or software. By carefully considering your personal preferences and requirements, you can choose the speech to text tool that best meets your needs.
When it comes to choosing the best speech to text tool for your needs as an academic, it is important to evaluate the features and limitations of each tool to determine which one aligns with your requirements. Consider the accuracy and reliability of the tool, as well as its customization and flexibility options. It’s also essential to assess the tool’s language support and compatibility with different accents, devices, and platforms. Integration with other tools and software can be a significant factor for some academics, so be sure to investigate this aspect. Lastly, don’t forget to factor in your personal preferences and requirements when making your final decision. With careful consideration and evaluation, you can select a speech to text tool that fits your specific academic needs.
When choosing the best speech to text tool for your needs, it is important to consider the task at hand and the specific features required to complete it. After evaluating the features and limitations of each tool, you should select the most appropriate one for your needs. For example, if you need a tool that can accurately transcribe multiple speakers in real-time, Otter.ai may be the best choice. On the other hand, if you need a tool that can integrate with other software and platforms, Dragon NaturallySpeaking or Amberscript may be more suitable. It is also important to consider your own personal preferences and requirements, such as ease of use and pricing. By taking these factors into account, you can choose the best speech to text tool for your needs and increase your productivity and efficiency as an academic.
Speech to text tools are becoming increasingly important for academics, as they provide an efficient and accurate way of transcribing lectures, interviews, and other spoken content. When choosing a speech to text tool, there are several features to consider, including accuracy, customization and flexibility, integration with other tools and software, language support and accents, and compatibility with different devices and platforms.
Some of the top speech to text tools for academics include Dragon NaturallySpeaking, Google Docs Voice Typing, Otter.ai, Transcribe, Descript, and Amberscript. Each of these tools has its own unique features and limitations, so it’s important to evaluate them carefully and select the most appropriate tool for the task at hand.
When selecting a speech to text tool, it’s also important to consider personal preferences and requirements, as well as the specific features and limitations of each tool. With careful evaluation and selection, academics can benefit from the speed, accuracy, and convenience of speech to text tools in their research and writing processes.
