Transcription and speaker recognition
Create structured transcripts with timestamps and speaker names. The platform can learn to recognize the voices of recurring hosts and guests, as well as names and specialist terminology.
MediaTranscriber combines podcast hosting, transcription, semantic AI search, podcast and video editing directly from the transcript, and automated publishing in one workflow.
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A traditional search only finds the exact words that were entered. MediaTranscriber’s semantic AI search understands the meaning and context behind a question, then searches across every transcribed episode.
Listeners receive relevant episodes and timestamps and can jump directly to the part of the conversation where the subject was discussed. Older episodes become a living, searchable knowledge base instead of disappearing down a chronological feed.
Import an existing podcast or host it directly on MediaTranscriber. Much of the production process can then run automatically.
Create structured transcripts with timestamps and speaker names. The platform can learn to recognize the voices of recurring hosts and guests, as well as names and specialist terminology.
Edit podcasts and videos by selecting the text you want to keep or remove. MediaTranscriber finds the corresponding timestamps and cuts the audio or video for you, without making you search through a timeline.
Create regular videos or short formats for YouTube Shorts, Instagram Reels and TikTok with the right aspect ratio and automatic captions.
Import audio and video from cloud storage and export finished files back to the workspace you already use.
Download SRT or VTT subtitles, PDF and DOCX documents, and finished audio and video files in multiple formats.
Run transcription, chapters, show notes, captions, social content, exports and publishing as one reusable workflow.
Publish public or private RSS feeds, member content and episode pages with a player, transcript, chapters, search and a custom domain.
Publish to services including YouTube, WordPress and Ghost. Teams can review transcripts, approve content and connect other systems through the API and webhooks.
The AI tools use the conversation in the transcript as their source. Choose what you want to create, receive an editable draft, and review it before publishing or exporting.
Create show notes, summaries, titles, bullet points and chapters based on what was actually said in the recording.
Reuse the strongest ideas as posts and shorter copy for different channels without starting from a blank document.
Create thumbnails and cover art, then combine the text and images with other steps in a reusable workflow.
We are looking for podcasters who will try the platform with real content and give honest feedback about what works, what is unclear and what is still missing.