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Is it worth the effort to transcribe my podcast episodes for better discoverability and SEO?

Transcription services can range from human-generated to automated.

Human-generated transcription services, such as GoTranscript, employ human transcribers to ensure greater accuracy but are more expensive.

In contrast, automated services rely on speech recognition technology and are more affordable.

According to a recent study, podcasts with transcripts receive up to 6% more engagement compared to those without.

Search engines predominantly rely on text-based content for indexing.

Transcripts help search engines like Google comprehend the context of a podcast, making it more likely to appear in search results.

Transcribing before or after recording can be beneficial.

Pre-transcription prevents errors associated with automated transcription.

However, post-transcription allows for more precise adjustments and the addition of speaker tags.

Automated transcription tools often integrate machine learning for improved accuracy.

They learn from previous errors, refining their performance over time.

Transcripts facilitate content repurposing.

Podcasters can create short video clips or social media posts from transcripts, enhancing their digital presence.

Transcription tools often include customization features for punctuation, timestamps, and formatting preferences.

Specific professions, such as journalists and researchers, often depend on podcast transcripts for accurate information, given the likelihood of misheard words or ambiguous statements in audio alone.

Experience error-free AI audio transcription that's faster and cheaper than human transcription and includes speaker recognition by default! (Get started for free)