Dictaphone

Overview

AI-powered transcription of short audio files into editable plain text.

Dictaphone converts recorded audio to text using OpenAI's Whisper API for automatic speech-to-text transcription.

Accepts .mp3, .wav, .m4a, .ogg, and .flac files via drag-and-drop or click-to-upload.

Supports uploads up to 10 MB, suitable for short interviews, voice notes, and meeting clips.

Designed for podcasters, journalists, students, researchers, and content creators who need searchable transcripts and editable text.

Produces plain-text transcripts for note-taking, citation, content repurposing, and research workflows.

File upload interface requires no additional setup and fits into existing transcription workflows.

Use Cases

• Transcribe podcast episodes, voice notes, or short audio clips with Dictaphone’s drag-and-drop uploader (mp3/wav/m4a/ogg/flac up to 10 MB) to get plain-text, searchable, editable transcripts for show notes, social excerpts, and SEO-friendly blog posts.
• Use Dictaphone to automatically transcribe interviews and field recordings for journalists and researchers—Whisper-powered accuracy produces editable transcripts for quick quoting, timestamped reference, annotation, and searchable research archives.
• Convert lectures, meetings, and team voice memos into clean, searchable transcripts with Dictaphone to create study notes, meeting minutes, action items, and shareable text for collaboration and documentation.

Who Is It For

• Audio producers
• Content creators
• Researchers
• Students
• Podcasters