Imagine turning your latest podcast recording, lecture clip, or interview into text without uploading a byte to the cloud—meet MacWhisper, a free Mac app that harnesses OpenAI’s Whisper tech to transcribe audio right on your device. Drop an MP3, MP4, or even a Voice Memo into its sleek interface, and watch it churn out transcripts in over 100 languages, all while keeping your data locked down locally. Play back the audio synced with the text, tweak segments, or search for that one quote you need—it’s all there, no internet required. Perfect for students cramming notes, journalists chasing deadlines, or anyone who values privacy over pricey subscriptions, MacWhisper makes your Mac a transcription powerhouse. Built for M-series chips with a drag-and-drop soul, it’s the offline audio assistant you didn’t know you needed.
Why You’ll Love It
- Local Magic: Transcribes everything offline—no cloud, no worries.
- Global Reach: Handles 100+ languages with auto-detection.
- Play & Read: Syncs audio to text for easy review.
- Drop It In: Drag files and start transcribing instantly.
- Privacy First: Keeps your audio safe on your Mac.
What It Offers
- Transcription Core: Turns audio into text with Whisper’s precision.
- File Friendly: Takes MP3, WAV, M4A, MOV, MP4, and more.
- Edit Ease: Search, highlight, and tweak transcripts on the fly.
- Extras: Removes filler words, adjusts playback speed, and exports subtitles.
- Mac Native: Optimized for M-series, works on Intel too.
Perfect For
- Students: Convert lectures to notes without the hassle.
- Journalists: Transcribe interviews securely on the go.
- Creators: Caption videos or podcasts offline.
- Privacy Fans: Avoid cloud services with local power.
Get Started
- Download: Grab it free from MacWhisper.
- Install: Drag it to Applications and launch.
- Transcribe: Drop an audio file and let it work its magic.
- Use: Play, edit, or copy your transcript—done!
System Requirements
- macOS 14.0 (Sonoma) or higher
- 8GB RAM minimum (16GB recommended for large files)
- M-series Mac recommended (Intel supported)