What is Dictaphone?

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.

Dictaphone on the web:

Dictaphone pricing

Freemium

Dictaphone offers a free plan with paid upgrades available.

Verify on the official pricing page.

View plans

Dictaphone's key features

AI transcription using OpenAI's Whisper API
Accepts .mp3, .wav, .m4a, .ogg, .flac audio formats
Drag-and-drop or click-to-upload interface
Maximum upload file size 10MB
Upload confirmation step

Dictaphone 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