Human Transcription
Human Transcription is the best option for projects where accuracy, context, speaker identification, and specialist terminology matter.
This workflow involves a trained human transcriber who listens to the recording and prepares a clear written transcript according to the required level of detail. Depending on the brief, the transcript can be clean-read, lightly edited, or more detailed, and close to the spoken wording.
Best for:
Legal recordings, research interviews, expert discussions, corporate meetings, stakeholder consultations, medical or technical content, documentaries, media interviews and recordings with accents, overlapping speech, or poor audio quality.
Main advantages:
Higher accuracy, better context understanding, stronger handling of accents and terminology, improved speaker identification, and greater suitability for sensitive, or specialist content.
Points to consider:
Human transcription usually requires more time and budget than AI transcription, especially for long recordings, poor audio, multiple speakers, or complex subject matter.
AI Transcription
AI Transcription uses automatic speech recognition technology to convert audio or video into text quickly and at scale.
This option can be useful when the priority is speed, budget, or large-volume processing. It is best suited to clear recordings with good sound quality, limited background noise, few speakers, and straightforward terminology.
Best for:
Internal recordings, simple webinars, rough drafts, knowledge base content, low-risk meetings, clear training videos, and projects where speed is more important than full accuracy.
Main advantages:
Fast turnaround, lower cost, scalable processing, and practical handling of large volumes of audio, or video content.
Points to consider:
AI transcription may produce errors in names, numbers, punctuation, terminology, speaker labels, accents, background noise, and overlapping speech. For sensitive, public-facing, legal, research or high-value content, human review is strongly recommended.
Responsible use note:
Where AI tools are used for speech recognition or transcript generation, the workflow should respect applicable confidentiality, data protection, copyright, and platform requirements.
AI-based Transcription with Human Review
AI-based Transcription with Human Review combines the speed of automatic speech recognition with professional human checking.
In this workflow, AI may be used to create a first transcript, while human specialists review the text for accuracy, terminology, speaker identification, punctuation, formatting, and overall usability. This approach is designed for clients who need efficiency without leaving quality entirely to automation.
Best for:
Corporate meetings, training recordings, webinars, interviews, SaaS videos, internal communication, educational content, research materials, and recurring transcription workflows with clear audio.
Main advantages:
Balanced cost and quality, faster than fully human transcription, more reliable than AI-only output, better control of terminology and formatting, suitable for recurring, or multilingual workflows.
Points to consider:
Human review improves transcript quality, but it is not always equivalent to a fully human transcription from scratch. For legally sensitive recordings, poor audio, heavy accents, overlapping speech or highly specialist terminology, Human Transcription may still be the better choice.