Skip to main content
Glama

Whispera

by sapoepsilon

Whispera

A native macOS app that replaces the built-in dictation with OpenAI's Whisper for superior transcription accuracy. Transcribe speech, local files, YouTube videos, and network streams - all processed locally on your Neural Engine.

⬇️ Download Latest Release

GitHub release (latest by date)

Demos

Features

  • Live transcription (beta)

  • Speech-to-text - Replaces macOS native dictation with WhisperKit (OpenAI's Whisper model on Neural Engine) for better accuracy

  • File transcription - Audio and video files

  • Network media transcription - Stream video/music URLs

  • YouTube transcription

All processing runs locally. Internet required only for initial model download.

Roadmap

Usage

Simply use your configured global shortcut to start transcribing with Whisper instead of the default macOS dictation.

Known Issues

  • The app does not work with Intel mac(see Issue 15

  • Auto install does not work, after an app has been downloaded, please manually drag and drop the app to you /Application folder

Requirements

  • macOS 13.0 or later

  • Apple Silicon

  • We are working on support for Intel Mac

Credits

Built with:

Thanks to these projects for making privacy-focused, local transcription a reality.

License

MIT License

-
security - not tested
F
license - not found
-
quality - not tested

local-only server

The server can only run on the client's local machine because it depends on local resources.

AI-powered voice transcription app for macOS using WhisperKit

  1. ⬇️ Download Latest Release
    1. Demos
      1. Features
        1. Roadmap
          1. Usage
            1. Known Issues
              1. Requirements
                1. Credits
                  1. License

                    Related MCP Servers

                    • A
                      security
                      A
                      license
                      A
                      quality
                      Enables text-to-speech functionality on macOS using the say command, offering extensive control over speech parameters like voice, rate, volume, and pitch for a customizable auditory experience.
                      Last updated -
                      2
                      1
                      18
                      MIT License
                      • Apple
                    • -
                      security
                      A
                      license
                      -
                      quality
                      Enables recording audio from a microphone and transcribing it using OpenAI's Whisper model. Works as both a standalone MCP server and a Goose AI agent extension.
                      Last updated -
                      6
                      MIT License
                    • A
                      security
                      F
                      license
                      A
                      quality
                      A Python-based server that provides access to Whissle API endpoints for speech-to-text, diarization, translation, and text summarization.
                      Last updated -
                      5
                      2
                      • Linux
                      • Apple
                    • -
                      security
                      A
                      license
                      -
                      quality
                      A portable, Dockerized Python tool that implements Model Context Protocol for audio transcription using Whisper models, featuring both CLI and web UI interfaces for converting audio files to JSON transcriptions.
                      Last updated -
                      MIT License
                      • Linux

                    View all related MCP servers

                    MCP directory API

                    We provide all the information about MCP servers via our MCP API.

                    curl -X GET 'https://glama.ai/api/mcp/v1/servers/sapoepsilon/Whispera'

                    If you have feedback or need assistance with the MCP directory API, please join our Discord server