The transcription industry is experiencing a transformative shift with the integration of AI technology. Hansem Global is leading the charge by combining AI with human expertise, resulting in faster and more accurate transcription solutions. This blog highlights the traditional transcription methods, introduces the new AI-powered approach, and showcases how Hansem Globals’ inventive approach is enhancing the industry’s standards.
Ⅰ. What is Transcription?
Transcription involves the conversion of words, from voice or video recordings into written text. This service plays a role across industries simplifying the process of reading analyzing and storing recorded content. Transcription is applied in many ways, each serving specific purposes:
- Meeting Minutes: Transcription ensures that everything discussed in meetings is accurately documented. These records are invaluable for referencing later or supporting decision-making processes.
- Interview Documentation: Transforming interviews into written form whether for research media purposes or other uses leads to the creation of articles or reports.
- Legal and Medical Records: Transcription is essential in both legal and medical settings. In court, testimonies and trials are transcribed to serve as records and legal proof. In the medical field, doctors’ notes and patient consultations are transcribed to maintain accurate medical records.
- Caption Production: Creating subtitles for videos enhances accessibility, particularly for viewers who have hearing impairments.
Ⅱ. Traditional Transcription Methods
Prior to the use of AI, the manual transcription process involved several meticulous steps, each of which required significant time and effort to guarantee high quality and accuracy. Let’s dive into an example to see how things have evolved.
| CASE STUDY | |||
| Audio length: 1 hour | Topic: Medical | Number of speakers: 3 | Quality: Few background noise |
1. Initial Quality Check (20 mins)
Before transcribing, the source files undergo an initial quality check to evaluate the audio clarity and detect potential issues that might affect transcription accuracy.
2. Assign to Transcriber (10 – 15 mins)
Once the quality check is complete, the files are assigned to a suitable transcriber, depending on the topic of the source and the accent of the speaker.
3. Transcriber Listens and Types (5 – 6 hours)
The transcriber listens to the audio and types out the spoken content. Generally, the industry standard for transcribing one hour of audio is 4 hours for a simple recording (clearly recorded, non-technical content, and no overtalking). However, if the audio quality is poor, the transcriber will have to work longer to finish the job.
4. Time Stamping (1 – 2 hours)
Time stamping is another time-consuming step as it requires stopping and starting the recording frequently to note down the exact times. This can add approximately 1 to 2 additional hours, depending on how frequently you add time stamps (e.g., every minute, every speaker change, etc.).
5. Speaker Identification (20 – 30 mins)
Identifying and labeling different speakers in the audio is another critical task, especially in multi-speaker scenarios like conversations, interviews or conferences. It usually takes 20 – 30 mins for this step for a dialogue of 2 – 3 speakers.
6. Quality Assurance (Editing & Proofreading) (2 hours)
The initial transcript then goes through a quality assurance process with editing and proofreading to ensure accuracy, corrects any mistakes, and refines the transcription for clarity and coherence. This step typically takes about 2 hours.
7. Formatting (1 hour)
The transcript is formatted according to the client’s specifications. This step might take an additional 1hour.
8. Delivering the File
Finally, the completed and polished transcript is delivered to the client.
Total Estimated Time: 10 – 12 hours
Given this workflow, if the audio is 1 hour long, it could take approximately 1.25 – 1.5 days for the file to be delivered to the client.
Ⅲ. AI Transcription Integration: Fresh Approach to Transcribing
The incorporation of AI technology, in transcription procedures has truly transformed the field. AI transcription tools swiftly convert words into text significantly reducing the time required for transcription. However, the real magic happens when AI is combined with human expertise:
- Reduced Working Time: AI-assisted transcription significantly cuts down working time, allowing linguists to meet deadlines efficiently.
- Increased Customer Satisfaction: Clients e benefit from more transcripts elevating overall satisfaction levels. The blend of AI speed and human precision ensures consistent, high-quality results, exceeding customer expectations.
- Improved Accuracy: AI systems learn and improve from human transcribers’ corrections, which later boosts future transcription accuracy, leading to higher overall quality.
Ⅳ. Hansem Global’s Competitive Edge through AI-Integrated Method
By adopting this innovative AI-powered transcription method, Hansem Global has significantly boosted our standing in this specific field.
Let’s revisit the previous example, but this time, we’ll apply Hansem Global’s AI Transcription tool combined with human expertise to see how the process has been elevated to a whole new level.
| CASE STUDY | |||
| Audio length: 1 hour | Topic: Medical | Number of speakers: 3 | Quality: Few background noise |
This innovative process cuts the turnaround time from 1.5 days to just 4-5 hours, delivering transcribed files within a day.
With this new method, Hansem Global is not just keeping up with industry standards; we are setting them. We have managed to handle large transcription project with unparalleled speed and accuracy. So, why settle for anything less when you can have the best? 😉
Unlock the power of seamless transcription with Hansem Global! Fast, accurate, and effortless – that’s our promise to you. 🚀 Contact us today and watch your audio transform into flawless text, and let us take your content to the world.