How Real-Time Transcription is Changing the Game

Real-time transcription enables new and exciting capabilities for your business. For example, enabling live captioning for streaming videos makes your content more immersive and inclusive, or utilizing real-time transcription for keyword monitoring allows you to take immediate action based on trigger words. Transcription accuracy unlocks and multiplies many game-changing opportunities – from more impactful coaching programs to more substantial compliance mitigation and efficient QM automation.

Improved Accuracy

When customers call your call center, they want to know that the agent they speak with will understand what they say. This is why you must ensure that transcription accuracy is high. The average human transcriptionist only reaches an accuracy rate of 80%. Still, you can improve this with speech recognition software that utilizes speaker diarization, which segments the audio stream based on who is talking and when. This can improve transcription accuracy by allowing you to identify and train the AI to recognize essential words and terms. You can also improve accuracy by reducing background noise and using a clear voice that is easy to hear.

Additionally, real-time transcription can transcribe your audio to text file that is instantly ready for use. This makes it easier to turn transcribed content into blog posts, social media snippets, and training materials. It saves time and ensures that your content is accurate. When combined with instant translation, real-time transcription is a game-changer for businesses expanding globally or hosting international events. It allows audiences to retain the information presented and bridges language barriers. Imagine a CEO speaking at an event and delivering their message in English to a diverse audience. The transcribed text could be instantly translated into Mandarin, French, or Spanish so everyone can understand the key points.

No Delay

Real-time transcription means that transcribed text appears as soon as the speaker says it. This can make a big difference when transcribing presentations or other content for people with hearing impairments. It also helps people who can’t be physically present at meetings access the necessary information and helps business teams meet productivity goals. Depending on the quality of your internet connection and the location of the servers hosting your transcription service, there may be a slight delay between what you hear and what is transcribed. This is called latency, which can range from less than a millisecond to more than a second. This delay is not always noticeable to humans but can affect people with visual disabilities. Transcribed meetings and conferences are an excellent way for companies to share important information with their teams, clients, and stakeholders. They also provide valuable backup documentation and serve as a record of the discussion that can be reviewed later. For businesses with deaf or hard-of-hearing employees, real-time transcription provides accessibility, improves meeting participation, and ensures all team members fully engage in the conversation. Many vloggers and podcasters use real-time transcription to create closed audio or video content captions. This makes their work more accessible to people with hearing impairments and other special needs, and it helps them meet production deadlines while reducing costs.


In qualitative research, transcription is a critical part of the data collection process. Its importance is emphasized by the need for researchers to consider how transcription can affect their research design and conclusions. Transcripts can provide insight into participants’ perspectives and experiences and help identify themes that may be missed if only audio-based notes are used. The need to critically reflect upon transcription is critical as technology in transcription increases. When choosing a Real-Time Transcription engine, it’s essential to consider reliability. This includes latency and how often the engine fails. Latency reflects delays in the transcription process, while reliability indicates how often the service is available without disruption. Cloud-based Real-Time Transcription engines experience higher latency than on-device speech processing. Whether you’re producing a live video event or creating captions for your content, real-time streaming transcription can benefit any business considerably. It can help break down access barriers for deaf or hard-of-hearing attendees, deliver accessibility for people who cannot hear presentations at an event, or capture accurate voice data to be analyzed later for keyword monitoring or other advanced analytics.


Traditionally, transcripts for meetings or any other type of oral exchange have been transcribed after the fact by professional transcribers who take time to listen to the recording and manually rework it into text. However, real-time transcription tools now transcribe audio at the exact moment it’s spoken, making them much faster and easier to use. Real-time transcription also has the advantage of handling background noise, multiple speakers, and different conferencing platforms. This versatility makes it a valuable tool for businesses looking to improve meeting efficiency, train staff, or coach customer support agents. Qualitative research is another area where real-time transcription has made a big difference. Transcription is an essential element of ethical qualitative research, and the ability to transcribe simultaneously as the research process increases transparency and, therefore, rigor.

Moreover, it’s increasingly important to be able to publish qualitative results in ways that are accessible to all, including those who may not be able to attend the original research. As a result, the demand for transcription has also increased, and there are now speech-to-text services that offer multilingual transcription and real-time translation. These services allow companies to tailor the speed (latency) and accuracy (accuracy) of their real-time transcription according to their needs. They also provide on-device processing that eliminates the need for cloud-based transcription, lowers costs, and enables enterprises to control their data.

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