Recording → text is one job, many sources

The umbrella case: you have audio (or video, where audio is auto-extracted) and you want the words written down. The source could be: an iPhone voice memo, a Zoom meeting recording, a downloaded podcast episode, a recorded interview from a research project, a lecture you recorded with permission, a recorded customer support call, a video file from your camera, an audiobook chapter, an old cassette tape you digitised, anything. mdisbetter handles all of these through the same upload-and-convert flow.

Audio and video both work

For pure audio files (MP3, WAV, M4A, FLAC, OGG, AAC, WebM, AMR), upload to /convert/audio-to-text or directly /convert/audio-to-markdown. For video files (MP4, MOV, MKV, WebM, AVI), audio is extracted automatically — you can upload the video directly, or use /convert/video-to-markdown for the video-specific page. For YouTube URLs, /convert/youtube-to-markdown handles the download + transcribe in one step.

For specific recording types, see the focused pages

• Podcast recording → /use-cases/audio-to-markdown-for-podcasters
• Interview recording → /use-cases/audio-to-markdown-for-journalists
• Meeting recording → /convert/transcribe-meeting
• Lecture recording → /use-cases/audio-to-markdown-for-students
• Sales call recording → /use-cases/audio-to-markdown-for-sales-teams

For batch transcription of many recordings, use OSS

If you have 50+ recordings to transcribe in one go, mdisbetter's web tool is the wrong shape — it's one-upload-at-a-time. Run faster-whisper locally on a GPU for batch processing. MIT-licensed, free, processes hundreds of hours overnight. Use mdisbetter's web tool for one-off conversions where the manual workflow is acceptable.