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Who uses AI-based Transcription?

With the advancements in technology, industries have witnessed a massive change in the last decade. The increase in the development of Artificial Intelligence (AI) is part of the driving force of the change. AI is suitable for application and it gets better where data feed repeatedly into the system. Transcription is one of the applications. In today’s world, we can see that most of the transcription are done in the form of audio or video recordings to word format.

AI transcription is already doing wonders in today’s world assisting human with their workload and modernizing the industrial sectors. It has already set its ground in a lot of industries like the medical, legal and media field but the growth is expected to maximize the experience from food production chains to the medical procedures. Subsequently, AI-based transcriptions will become more effective and commonly used.

Time efficiency

We are used to hear that ‘slow and steady wins the race’ however, the phrase has taken a drastic shift in today’s world. It is now ‘fast and smart wins the race’. Across the globe, as much as cost factor is important, time is equally important now. The automated transcription process that is the automatic speech recognition (ASR) engine, has not only lowered your budget but also saves time. This helps decrease the processing time to generate a transcription from days to minutes.

Availability 24/7

AI transcription is readily accessible, regardless of where you are, what time of the day. All you need are a computer and network. You can feasibly get your hands on it whenever you want to and get the work done quicker. Whereas, human transcription or manual transcription is not the case, there can be various obstacles that can make the transcription difficult to access. Time difference, the transcriptionist is not there, you are will be highly dependable on another person. Moreover, manual transcription takes a longer turnaround time than AI transcription.


With the help of the customization options by the AI transcriptions, it is easier to achieve the desired need. The transcriptions could be customized to be compliance intelligence, staff monitoring with the option of different languages, editing options, and the speech recognition models. Specific industries could train their AI transcription engine to recognize jargons specific for their sector.

AI transcription making waves

Although the accuracy rate depends highly on the audio file that is to be transcribed. The better the quality of the audio file the higher chances of achieving accurate results. Industries and companies from across the world are sleeplessly training their natural language processor to recognize and transcribe speech. The accuracy rate of these transcriptions is said to be 95%. Given the fact that most of the AI-powered transcription tools are easily accessible and is affordable, it is making waves in changing how the workflow in many sectors.

The Legal Sector

AI-based transcriptions have made evolution in the legal sector. Now, you can leave the administration tasks behind and work over what you always dreamt of – justice. AI-based transcription has allowed the legal workers to focus on more important things. The monotonous and exhausting workload that used to involve hundreds of lawyers in a backroom, reviewing documents after trials can now be done easily and smoothly by AI transcription services. At times, transcription can be done instantly in the courtrooms too. Hence, AI transcription has helped free the workload of lawyers so they can focus on the analytical and strategical aspects. It is widely practiced in the legal sector because of its confidentiality, speed and the reduction in cost.

The medical sector

AI transcription has entered the healthcare sector successfully too. It assists the healthcare personnel or medical staff majorly in dictating their notes into the healthcare systems. It also helps them in keeping and updating the patients’ electronic medical records also known as the EMR. It further helps the healthcare sector lessen the administrative burden of their regular heavy workload.

The media sector

Today’s media industry has expanded beyond imagination. The traditional journalism which was over taking by videos are extraordinary. With videos and live streaming facilities are booming globally and with that, automated transcription technology. The media sector is all about engagement, accessibility, and reaching out to your targeted audience. With AI-based  transcription, major benefits that the media sector enjoys include:

  • Ensuring access to the audience, AI transcription allows your data to get access to the audience more conveniently.
  • AI transcription has provided the media with a better engagement experience.
  • As the engagement improves, the outreach to the audience you want to target maximizes as well.
  • As the media industry aims to keep the audience connected throughout, with AI transcription it has become more feasible.

The Academic sector

Back to school, when lecture is ongoing and you will be busy taking down notes. Gone with those days, with the smart phone recording function, you are recording your one-hour lecture in a breeze. This is one of the things that cannot be done before the pre smart phone era. However, having to transcribe the recording and you are able to have it as notes for revision. This is the power of AI transcription in the academic world. Being students, this will mean focusing on your lectures and time saved from copying. Not limited to just physically present in a lecture hall, pre-recorded webinars or conference could be transcribe using AI to have a live streaming effect and make lectures or events easily understandable for the audience. On the other hand, this is not restricted to just students. Researchers can focus on their research rather than the paperwork on keeping tabs on recording.

The Financial Sector

AI application is not new to the financial sector, with the booming of Fintech, AI transcription is another application that is creeping into this sector. Being tight on their policy and data protection, AI transcription makes even more sense in this industry to minimize the human touch. Aside the usual advantages of cost and time efficiency, customized API onsite with multiple security layer will make a positive impact in this sector. Not only it ensure much better data protection but also the customization will mean the use of this customized AI transcription will be only for this specific customer. Bank and financial institution will be able to service each customers better with security.

In short

AI transcription, with an upload of audio or video file to the engine and downloading the transcribe into word format, this plays a major role in the current world today. Anyone who do recording and will like to have it into words could use AI transcription regardless of industry. It has made the workflow smooth and the workload less with lesser costs. It not only saves time and get work done faster, it lessens the tedious work and focus on the more important. It is also cost and time efficient move as it definitely increase the workflow productivity.  

What AI-based Transcription Cannot do as of Today.

Photo by Markus Winkler from Pexels

For the last 25 years, one of the major concerns of researchers in the field of computer science is to build an Artificial Intelligence (AI) that can accurately recognize and transcript language.

AI-based transcription services have been improved significantly in the past years. Several tech companies have been developing AI transcription tools to bail people out from the tedious chore of penning down a recording word for word. Many professionals are using voice recognition software to convert their video and audio files into the text to execute their work.

Undoubtedly, AI transcription has made translation process more convenient, efficient, customizable, and confidential with the help of a powerful algorithm and high-quality datasets. However, AI transcription is still subjected to limitations despite of these benefits,. In this article, we will be discussing what AI transcription cannot do.

Limitations of AI-based Transcription

Irrespective of the fact that machines are intelligent and can transcribe audio recordings into the readable text; it is yet not capable of comprehending the subtleties of human speech. For instance, background noises, nuances, and technical terms in audio can greatly hinder the accuracy of AI-based transcription.

AI Transcription vs. Manual Transcription

Albeit, AI transcription has come a long way; however, one of its biggest drawbacks is that speech recognition technology only learns after making and correcting a mistake in the text. In other words, speech recognition technology will take some time to understand the nuances found in audio files of human speech.

With regards to that, despite the emergence of AI-powered transcription services, majority of people consider that accuracy of AI transcription is still far from manual transcription services which is about to achieve 99% accuracy. Hence although tedious, manual transcription yields the best results which yet cannot be replaced completely by AI transcription.

AI transcription software also cannot detect multiple speakers and often muddle the specific names of people and places, resulting in inaccurate text. Therefore, manual transcription is used to further polish and rectify the mistakes made by AI transcription software. This implies that despite the advancement in Artificial Intelligence, one needs to manually differentiate the speakers and specific terminology to achieve a flawless transcripted content.  

Experts suggest that human transcriptions override the benefits of AI transcription as the human ear is more attuned to external factors in human speech and therefore cannot misunderstand, omit, or skip words as their automated counterpart (AI transcription) do.

As opposed to AI transcription software, human ears can effectively filter out the background noises in human speech. On the other hand, AI transcription has an error rate of around 12% even when speech recognition software transcripts a clean audio file. Furthermore, humans know the various cultural context and the varying language accents and therefore, are more adept at recognising accents which a machine cannot do.

One of the reasons behind inaccuracy of AI transcription is that AI-powered transcriptions rely on dictionary-based vocabulary, meaning that they are unable to identify different accents, slang or colloquial speech as they can understand only limited words. This makes AI transcription at a substantial disadvantage over human-driven transcription.

A professional transcriptionist can hear audio and video files despite the background noise in it. Human transcriber can accurately interpret words that a machine cannot do as they do understand the individuals, their culture and unique language accent.

As compared to AI technology, manual transcriptionists can better understand speech and accurately interpret regional dialects and foreign accents. Another edge that manual transcription has over machines is that it can distinguish between sound-like words to provide more accurate speech to text transcription.

Photo by Matheus Bertelli from Pexels

Some Other Downsides of AI Transcription

Despite the fact that there are advancements to improve speech recognition technology, it still accompanies with some flaws in AI transcription. These include:

  • inability to differentiate among different speakers, specifically when there is a cross over discussion going on between various speakers.
  • incapable to recognize and spell out specific words and terminologies that are not in English.
  • unable to track words accurately from audio with heavy background noise.
  • incompetent to recognize words when speakers are heavily accented.
  • You might need to spend time on editing the faults in AI transcribed file.

Hybrid Style of Transcription

Companies and business owners that use AI transcription still need to adopt a hybrid model to ensure accuracy in transcription. In a hybrid model, human assistance will be required to achieve 99% accuracy in AI-powered transcription. It is more like proofreading of your transcribed files to remove inaccuracies, typos, and discrepancies which are overlooked by the automated transcription software.  In this model, human transcriber edits the transcript after running it through AI speech recognition software.

The Consideration

All in all, AI transcription software cannot offer 99% accuracy, and therefore, human intervention is still essential. Since both AI transcription and human transcription have both pros and cons, it really depends on how you plan to use the transcript and eventually the time spent on it. Based on the use, you can choose any of the options that best suit your needs and make the most sense. Of note, where time is money, consideration on the budget, the time spent and accuracy of transcription still play a profound role in deciding which transcription to use.