Transcription companies use a combination of artificial intelligence (AI) and human transcribers to produce written transcripts from spoken audio or video. While AI has made significant progress in speech recognition technology, it still struggles with accuracy, especially when it comes to nuanced or specialized content. Therefore, human transcribers are often used to review and edit AI-generated transcripts to ensure accuracy and quality.
The use of AI in transcription companies has increased efficiency and productivity, allowing for faster turnaround times and lower costs. However, the adoption of AI remains at 55% among businesses, as it needs to be implemented selectively, taking into account the nature of the content and the required level of accuracy.
AI transcription can produce consistent transcripts, often more quickly and affordably than human transcription. However, it may struggle with complex or specialized content, and the quality of the transcript may vary depending on the quality of the audio input and the sophistication of the AI algorithms used.
Overall, the choice between AI transcription and human transcription depends on the specific needs of the project, balancing factors such as accuracy, speed, and cost.