Cost / License
- Freemium
- Proprietary
Platforms
- Mac
- iPad
Germany
EU




Apps similar to Biscotti include anarlog, which is open source with a free version. Other options are BB Recorder, Granola, Offscript and Trace: Meeting Transcripts. There's no shortage of Audio Transcription Tools like Biscotti, with more than 50 alternatives for Mac, the web, iPhone, iPad and Android.




Transcribe meetings, calls and recordings on your own computer, and get the summary and minutes, without your audio leaving the machine.




Turn interviews, meetings, lectures and other recordings into editable transcripts with speaker labels and timestamps. Review wording in the browser, export to Word or plain text, and use an AI assistant to ask questions about recordings, documents and research.
A meeting-centered workspace that aggregates audio, video, documents, and research into projects. Shadow works inside your content to search, edit, and generate multi-format deliverables with verifiable citations—tripling collaboration efficiency, cutting manual organization...




Ottex helps busy professionals turn speech into the right output for each task. In ChatGPT it preserves your exact words. In Gmail it follows your email style. In Linear it creates structured tickets. Create reusable workflows with instructions, tone, examples, and formatting...

MeetLive is an AI meeting assistant for Google Meet, Teams, Zoom and Tencent Meeting. The extension transcribes live — no bot joins the call — and AI turns transcripts into summaries, action items and answers. Voice translation in the speaker's own voice, 60+ languages. Free plan included.




Records lectures, meetings and calls and writes structured notes — transcription and AI run locally on your Mac. Free, open source, no account.




A Mac menu bar app that records, transcribes and summarises your meetings entirely on your own machine — no cloud, no account, no bot joining the call.


now recording is a meeting recorder and transcriber that runs entirely in your web browser. Speech recognition is performed on your own device using OpenAI's Whisper compiled to WebAssembly, so the audio is converted to text locally and is never uploaded to a server.