Turn every episode into content gold

Our AI transcription achieves 99% accuracy with automatic speaker identification and diarization. We support multiple accents and can handle overlapping speech, background music, varying audio quality, and technical jargon. Custom vocabularies can be uploaded for industry-specific terms and guest names.

Yes. LinkLoom learns your brand voice from existing content and applies it to all generated materials. You can set tone preferences, vocabulary guidelines, and formatting styles for each content type — show notes, blog post, social, newsletter — independently.

Connect your podcast RSS feed once and LinkLoom automatically processes new episodes as they're published. No manual uploads needed — content generation runs in the background and lands in your draft queue ready for review.

All major audio formats including MP3, WAV, M4A, FLAC, OGG, and AAC. Video files (MP4, MOV, MKV) are also supported — we extract and process the audio automatically.

Always. Every output is fully editable in the LinkLoom editor with version history, side-by-side transcript view, and one-click jumping back to the audio timestamp for any quote.

Yes. Pick the moments you want to share and LinkLoom generates branded audiograms, vertical video clips with captions, and quote cards optimized for each social platform.

Yes. Episode pages and blog posts are generated with proper keywords, structured data (PodcastEpisode schema), and internal linking — improving discovery in both Google and podcast directories.

Yes. Speaker diarization automatically identifies and labels each speaker. You can name them once and the labels persist across the entire transcript and all generated content.