-1
archive,paged,category,category-articles,category-129,paged-2,category-paged-2,qode-social-login-1.1.3,qode-restaurant-1.1.1,stockholm-core-1.2.1,select-theme-ver-5.2.1,ajax_fade,page_not_loaded,menu-animation-underline,wpb-js-composer js-comp-ver-6.1,vc_responsive

Empowering Benefits of AI Transcription in the Medical Industry

Artificial Intelligence (AI) – based transcription has no doubt come a long way in the medical industry. AI transcription solutions intend to assist hospitals and other healthcare organizations through medical transcription in various forms. These include the transcription of speech into text for filling out and updating medical records of patients in EHR (Electronic Health Record) and EMR (Electronic Medical Record) databases. Presently, AI-based medical transcription has greatly helped doctors, physicians, nurses, and other healthcare workers in transcribing the notes of physicians.

According to experts, the market of medical transcription is estimated to reach about $4 billion by the year 2026.

What is Medical Transcription?

Medical transcription refers to the process of transforming verbalized medical notes into texted health records. This medical transcription allows doctors and other healthcare professionals to outsource the medical note-taking process to a third-party, which enables them to mainly focus on patient care. These third-party providers can be AI-based transcription software or professional transcription services.

Medical transcription is being used in the healthcare industry in multiple ways such as physical documentation reports, patients’ history, discharge summaries, operative notes and consultation reports, etc. In addition to creating workplace efficiencies, AI-based medical transcription helps improve patient outcomes and provides enhanced engagement between medical professionals and patients.

AI technology is used by doctors to transcribe their speech into medical documents, like outpatient letters or directly into EHR. Many hospitals and healthcare companies are now investing huge sums of money in AI-based medical transcription enabling healthcare staff to transcribe the medical documents from audio and speech of doctors. With the help of NLP (Natural Language Processing) and ASR (Automatic Speech Recognition) applications, doctors can easily turn their voices into readable text. Not only this, but advanced AI technology also helps them in generating and formatting medical documents.

Benefits of using AI Transcription in the Medical Industry

·         Better Patient Outcomes

Trust holds crucial importance between patients and their medical professionals. It is no doubt that doctors have to split their attention as well as the time between documenting and listening during their appointments with patients. AI-Powered Medical transcription enables doctors to directly record and transcribe conversation occurring during the appointment.

In other words, AI transcription helps them disconnect from their computers while being present with their patient. This ultimately establishes the trust between the patient and doctor while improving patients’ experience as doctors mainly focus on them and their condition, leading to improved patient outcomes.

·         Greater Mobility

There are many cloud-based AI transcription applications that doctors can use on the go, from anywhere, at any time, leading to the more efficient use of their time. Immediately after a patient meeting, doctors can record their notes while the discussion is still fresh in their mind. This will encourage doctors and clinicians to treat more patients and spend less time making reports.

·         Fewer Errors

To see major changes in the efficiency and quality of electronic health records, hospitals are implementing voice recognition technologies. Most medical errors are likely to occur during clinical delivery when a patient is referred to another physician. During this hand-over, if the information, thought process and behaviour are not properly transmitted, this can increase the chances of medical error.

Nonetheless, with AI – medical transcription, information is accurately transferred between the physicians. More interestingly, AI transcription software has the potential to learn from their mistakes. Therefore, the corrections made by the doctor while taking digital medical notes give feedback to the software’s algorithm, which ultimately improves the accuracy of future medical documentation.

·         Protects Patient’s Privacy

Medical conditions are not to be disclose to any third party. While AI – medical transcription is transcribe through machine, there are no chance of disclosure to third party. Which means that assuming a computer isn’t hacked, those same records will be safe and standardized.

·         Improved Decision-Making ability

Clinical information is readily available for doctor’s use through AI transcription, which helps save time and gives the doctor a thorough history of the patient allowing them to make more accurate medical decisions.

·         Real-Time Savings

Instead of transcribing word by word, customised AI-based medical transcription enables doctors to document medical information in real-time with great accuracy. Besides, it is the feat of NLP (Natural Language Processing) that it can recognize even the nuances of speech and thereby removing the unrelated components like filler words, small talks from the conversation. With the help of medical transcription, doctors can easily review the medical notes of patients which saves them various hours a day they spend on writing, dictating, or editing documents.

Some Pitfalls of AI-based Medical Transcription

  • This AI transcription technology is only as good as the data it has in it learning, indicating that big and newer health cases can be at risk due to inaccuracy.
  • AI-based transcription has not yet been perfected and thereby requiring doctors to provide their medical expertise which, to some extent, throws the supposed efficiency of AI – medical transcription into question.
  • Medical transcriptions powered by AI cannot override the benefits of human-generated medical case histories. For this, AI transcription software needs to implement new patient records for which it requires dynamic and adaptable algorithms. On the flip side, it still requires precision and time on the part of doctors to integrate new information.

Moving Forward

Till date, AI is undoubtedly on the rise in the healthcare industry. AI transcription technology has been subject to the way it is being used. However, that technology is now capable of much more than simple speech to text data entry. And as a pre-emptive measure, a secondary entry method of typing by medical transcriptionist can also be used to enter information that might be medically specific or incomprehensible to a software.      

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.

Customization

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.

What is Artificial Intelligence Transcription?

The major goal of Artificial intelligence (AI) research is to produce systems that learn, think, grab, understand, and behave like a human being. To understand how the AI integrates with the transcription, it is important to know what they are respectively. The AI in transcription is the speech recognition ability software that translates audio to the text. Whereas, the transcription is the text form of the audio file. For the past 25 years, it has been a major research goal in the field of computer science to introduce AI that is capable of language recognition.

AI which is the broader encompassment of Machine learning (ML) is one of its kind when integrated with the large data set. The machine is to learn the data on its own. Today, we find more of the audio and video recordings, these are treated as data and fed into the automated transcription software for learning. The learnt and relearnt process has made the transcription significantly faster than manually transcribing it. Thus, allowing the conversion of the content to text at a lower cost with a faster turn-around time.

Tremendous steps have been made with advancements in ML and language handling, permitting evolution innovation for many AI products in the world.

Advantages of AI Transcription for the industries

It is quite evident that the establishment of AI is evolving in many industries even the ones that were thought not likely to be changed. Few of the companies are to be seen completely upgraded while others are still on testing the wonders of AI.

Most importantly, AI is at its best when it empowers the robotization of earlier manual tasks. For the industries and their departments, the genuine estimation of AI innovation comes in permitting legitimate experts to work more efficiently. By leaving monotonous work to the machines, AI saves time to focus on other jobs that produce more revenue and require an elevated level of human skill. The developments in AI speech-to-text technology are being implemented and executed to the fields to upend the processes to new heights. The advantages of AI transcriptions include,

Time-Saving

Professionals know very well how valuable and important time is, and as a result of it, they constantly keep looking for ways of working smarter to maximize efficiency. The AI-powered transcription software automates the majority of the particularly dull and monotonous processes that allow greater turnaround times, compared to that of the manual methods. This increases productivity, the professionals can get the important files ready more quickly.

Transcription accuracy

Few of the industries deals in crucial documents that are important enough to make or break the case. It requires a critical and high level of transcription quality. The most advanced arrangements will prepare their speech-to-text motors with specific legitimate terms, so these words will be perceived and translated accurately. Afterwards, these technical outputs are supervised by quality assurance professionals.

Assured security of the information

Confidentiality is the first and foremost requirement when it comes to sensitive information. If the company is operating via a smart transcription system it ensures that the rights to the access of the files are only to those that are permitted by the administrators. An advanced AI transcription software applies algorithms to keep a check over the activities to guarantee the further security of the information.

Limitations of the AI transcriptions

Primarily, AI researchers have aimed to develop computer technology that can transcribe human speech with more or less the same accuracy as that of human transcribers. However, this is easier to say than done due to several obstacles. Computers struggle to recognize and record the natural speech and it is hard for them to generate a correct transcript that catches the exact meaning of what was said.

Although, some enhancements have been created and some are still under process, but the technology that is available commercially is currently limited in application. Thus, it requires a human touch to go through with the correction of any errors while finalizing the transcript.

The accuracy of the AI transcriptions

There are a variety of AI-based transcriptions suppliers in the market. Some offer free tools, while others offer more unpredictable and complex technology that conveys more accurate results, however at an expense. Brushing the matter of price, the time that is saved when you use AI for transcripts is worth the little amount invested in utilizing them.

AI can produce highly accurate transcriptions, depending on the provider and the service used. AI, itself performs at an accuracy rates of 80% or more, and if used more extensively, it will perform at a higher accuracy. Pairing the technology and human editors can help acquire better and faster results which is ensured at 99% accuracy that some of the industries like higher education, legal, and many more rely on.

Ultimately

AI transcriptions are an ideal fit if you are working in a fast pace environment where time is money. If you need a transcript immediately, AI transcription software is your savior. Besides, AI transcription can be executed with limited budget, human-based transcriptions are more expensive. If your recording file is a one on one conversation, without background noise, AI transcription is suitable for your work, as it has fewer chances of errors. Moreover, AI transcriptions are automated software that means they update automatically and you are free of the hassle of keeping an upgrading record and check. Human transcribers are humans after all and takes more time to understand and capture the difficult terminologies and material or they can have difficulty identifying the speaker. For such reasons, AI transcriptions are always the recommended strategy to opt for.

How is AI Transcription Different from Traditional Transcription?

In this current era, due to the rapid increase in the development of technology, consumers expect to be able to access anything from anywhere at any time. This on-demand mentality and increasing audio and video content, has increased the demand for voice technology more than ever.

Whether medical practitioners, lawyers, video editors, or journalists, all need to convert video or audio to text and it will undoubtedly change the workflow of these professionals. Thanks to Artificial Intelligence (AI), the potential uses of video and audio transcription are expanding, rapidly.    

While AI can do most of the heavy lifting in the field of transcription, the technology is still under development. Therefore, traditional transcription techniques have an important role to play.

So, what makes AI transcription different from the traditional transcription? Let’s find out!

What is Transcription?

Transcription is a simple process of transcribing or converting speech into readable text. Transcriptions are usually created from speeches, news footage, interviews, webinars, films, online videos, and podcasts.

If you have ever read the lines of a politician or words of an actor, then you definitely have read a transcript. Commonly, transcripts include the words you usually hear with additional details, such as music, pauses in dialogues, or background noises. With text transcription, viewers can fully understand audio in a text format.

How is AI Transcription Different?

The most traditional transcription method is to listen to video or audio file and type words in a word document manually. Traditional means, the recordings are listened by human ears, understood and decoded by the human brain, and transcribed by the hands of a human.

Although this traditional method highly accurate, the fact remains that it is time consuming and may require highly specialised skills.

Compared to traditional transcription, AI transcription is incredibly fast. AI transcription uses high-quality datasets, or examples to train voice and speech recognition software, repeatedly feeding datasets enable the software to be more experienced and build a better-fit algorithm.

With a powerful algorithm, AI-based transcription can process more data with higher accuracy. Unlike manual conversion of speech to text that requires source recording to be split up into multiple files for faster processing, AI transcription can convert audio or video into speech from a single source file in less time and money.

The cutting-edge automated transcription technology that depends on automatic-speech-recognition (ASR), not only offers unmatched accuracy and speed with reduced operating costs but also gives stenographers and transcriptionists the gift of time. It lowers the turnaround time required to complete transcripts from weeks to days, from days to mere hours.

As a result of time optimization, professionals can take on more projects and focus their attention on new opportunities. At Sense of Wonder, we use advanced ASR engine to provide optimal speech-to-text transcription.

Why Should You Use AI Transcription?

·         Improved Efficiency

AI transcription provides opportunities to eliminate factors that may hinder the audio quality while identifying complex terms to provide more accurate transcripts. For human transcriptionists, these factors are difficult to address. AI-based transcriptions are also trained to get smarter over time, meaning every time it makes an error, it will get better and provide increased results next time.

·         High Transcription Accuracy

AI transcription uses high-quality datasets, or examples to train its speech-to-text engines. With this, AI transcription can transcribe and recognize difficult words correctly. The highly accurate output, combined with human supervision, will provide the highest level of accuracy for the correct portrayal of social events, conferences, or business meetings.

·         Saving Time and Business Money

When it comes to transcriptions, customers demand accurate results with fast turnaround times. Whether the transcript is for a conference, an interview, or a meeting, the need to have an accurate record of what has been said in a limited time can result in a significant amount of work that is often given to a professional transcriptionist.

However, AI transcription can dramatically decrease the workload of transcribing the recordings. The heavy lifting of transcription can be done using AI-based software, which can be double-checked and changed by a transcriber. This saved time can be translated into big business savings, and organizations can consistently maintain the same results in notably reduced costs.

·         Customization

An intelligent transcription solution, powered by AI offers more customization opportunities to potential clients. A robust and powerful platform will be compatible with a wide range of audio and video files that can be accessed anytime, irrespective of the time difference or traditional business hours, while simultaneously providing an intuitive user interface.

·         Confidentiality

Another added advantage of AI transcription is security. Since machines carry out the transcription, humans have limitation to or no access to video or audio files. Also, an intelligent transcription system ensures that access to audio or video files is restricted to those with adequate permissions. What makes AI transcription even more interesting is that it applies algorithms to monitor user activity to guarantee confidentiality further.

The Downside of AI Transcription

No matter how intelligent a machine is, it cannot still comprehend the subtleties of human speech. A slight touch of background noise and the addition of scientific or technical terms can limit the potential of AI transcription.

More importantly, AI transcription struggles to detect multiple speakers and can mix up the names of places and people. Manual transcription, on the other hand, can be used as the final process of polishing and cleaning up the content. Despite the advancement in technology, conventional transcription that requires human touch, is still the only way of achieving top quality content with an accuracy of 99%.

Moving forward

Although speech recognition and AI transcription technologies have improved considerably, it still cannot match human accuracy.

If you’re looking for high-quality, accurate texts, then traditional transcription would be the best option. However, using AI transcription can significantly increase the speed of audio-to-text conversion.

ASR software and AI transcription will continue to change the way we operate in homes, workplaces, and classrooms. With technology continues to improve, we can expect an error-free automated content in the further.

So, now that you know how AI transcription different from traditional transcription, let Sense of Wonder help you with AI-based solutions to improve the productivity of your work! 

What is transcription and the history of transcription?

Photo by Andrew Neel from Pexels

What is Transcription?

A process that practices the conversion of the speech or audio, whether live or recorded, into a written or an electronic text document is known as transcription. Transcription services are mostly in business, medical purpose, legal or governmental sectors. To make the audio-only programs like podcasts and radio shows transcription is a great option too. They are accessible to the dumb or deaf or the individuals that have any other hearing disability.

Moreover, transcriptions are a great addition to closed-captioning. The most familiar type of transcription comes in from a spoken language source into text like a computer file that is suitable for printing into a document or report. Some examples of transcription include the business that sends transcriptions to the staff for the seminars, events, or speeches that are converted into the text. Transcriptions are also used in the court proceedings where the recorded criminal trial or physician recorded voice notes can be converted into the text or speech. Transcription is beneficial as it is accessible and it can help to convey the spoken message to the ones who are deaf or have hearing impairment, the transcripts can be used to narrate the visual form of the media.

Other than that, transcripts create a better user experience for the audience. Providing an alternate way to the audience so they can more conveniently connect with your media such as the video or audio content. To make media more interesting and engaging the use of the transcripts can always be a suitable choice Moreover, knowing that search engines cannot crawl the audios or the video content, the transcript here works as a useful tool. With the transcript in place, it will make your audio content or the index video content accessible, searchable, and easier for the visitors. Diverse keywords can be used in the transcript increasing the ranking of your page.

In this current busy schedule of our lives, time is always working against us. There are always some much to do and too little time. Thanks to the advancement in technology, transcription has changed with time and two of biggest advantages in transcription service are cost and time saving.

History of Transcription

Transcription is one of the most aged, most old forms of documentation; a valuable, and often an important, tool used for quite a long time. Being a proficient method to monitor significant information, dictation and transcription have assisted with advancing further understanding in any case difficult or complex fields – everything from medical and legitimate records to business and government records. It is still used widely today; transcription has a deep evolution.

From Ancient Times – 3400 BCE

Transcription began from early times as documentation. As early as in 3400 BCE the scribes would train in hieroglyphics and scripts in regards to get employment in the ancient Roman and Egyptian times. After some 100 years, the children were seen transcribing their ancient language over the tablets that were made of stones. The treasure of written language or the ancient historical documentation is the possible result of the transcription.

Technology – 16th and 17th Century

When the printing press came into existence in 1439, it led to the downfall of scribes and the transcriptions ultimately for a while. However, soon after this time, a British Physician developed a modern English language shorthand. Sooner, formalizing this shorthand stone again the transcriptionists or scribers strengthen the field. In the 17th century, the purpose of the transcription, in general, was manuscripts and other types of literature.

Typewriter and Word Processors – 200 years after

By the 19th century, the progress and development of the transcriptions world declined, it was seen less in use by the scribes. Around 200 years later, the typewriter was invented, the typewriters and stenographers were quite known and common especially among the American women. By 1910, stated under the US census the women took over 81% of the typing workforce and contributed to the majority of secretarial and transcription work in the offices.

After typewriters, the word processors came in, in the 1080s. It was well known for being the first-ever digital platform to type and transcribe the information. Word processors made ways and open doors for new computing technologies to reach mass development. They are one of the great reasons for today’s incredible technology and computers we use. Due to the new technologies that kept paving ways the significance of the transcription remained an important profession.

Voice to Text Today – Present

Organizations in all ventures today are recording huge measures of sound and video content, regardless of whether it be for internal or client confronting use. Transcription organizations representing considerable authority in different fields are still everywhere and crucial.

Throughout the long term, speech technology has become significantly more exact, particularly when utilized in a team with live specialists.

With passing time and in near future the transcription will become easier and easier with more and enhanced advancements in the software of the speech recognition software.