Audio and video in one workflow
Upload MP3, WAV, M4A, MP4, or MOV without converting the file or choosing between two versions of the same transcriber.
Audio and video transcriber and script extractor. Convert MP3, MP4, WAV, M4A, and MOV into timestamped, speaker-labelled text with TXT and SRT exports.
Bring your own interview, voice memo, meeting, webinar, or creator footage and leave with searchable, editable text from one upload workflow.
Upload your audio or video file inside the private transcription workflow.
Choose a file An account is required. Supported files upload to user-specific private storage.Select an MP3, WAV, M4A, MP4, or MOV file you own or have permission to process.
The file uploads to private user storage, and Content Skills processes its spoken audio into timed, speaker-labelled text.
Check names, numbers, jargon, and important quotations against the recording, then download TXT or SRT.
Upload MP3, WAV, M4A, MP4, or MOV without converting the file or choosing between two versions of the same transcriber.
Diarization separates likely speakers, while timestamps make interviews, meetings, and footage easier to scan, quote, and edit.
Export TXT for research and writing or SRT for captions, then continue into clip finding, notes, summaries, or authorized repurposing.
Extract the spoken script as a transcript, then review the opening hook, main points, and call to action. Use the text to study structure or rework your own content.
Attach supported audio or video, ask for speaker-labelled text, and keep the transcript available for the rest of your AI workflow.
Connect Content Skills Works with Claude, ChatGPT, and other MCP clients. Content Skills MCP is in beta.Content SkillsTranscribing the uploaded media…
The upload transcriber supports MP3, WAV, M4A, MP4, and MOV files. Video files must contain a compatible, usable audio track.
Open the upload transcriber, attach the file, and start transcription. Both formats use the same workflow and return timestamped text plus TXT and SRT downloads.
The workflow uses speaker diarization to label likely speaker changes. Treat the labels as a helpful draft and verify them when speakers sound similar or talk over one another.
This workflow transcribes the spoken audio track. It does not promise OCR of on-screen text, visual scene descriptions, or identification of people shown in the video.
Accuracy is strongest with clear voices, limited background noise, and little overlap. Proper nouns, uncommon terminology, numbers, music-heavy sections, and low-quality recordings deserve manual review.
Uploads use user-specific private storage rather than a public media bucket. You should still avoid uploading confidential material unless you are authorized to process it.
Yes. Download SRT for a timed subtitle starting point or TXT when you need clean editable prose.
Yes. The transcriber extracts the words spoken in the recording as editable text. It does not recover an unpublished original script or read on-screen text. Review the transcript against the source before using it.