Transcribe audio & video privately on your Mac. Batch transcribe multiple files, identify up to 10 speakers, export to any format & more
Transcribe videos, podcasts, and meetings with AI. Works offline with local models or online with OpenAI, NVIDIA, and more. Speaker identification, AI translation, and summarization included.
Transform any audio or video into accurate text with Whisper Snapper — the powerful transcription app for Mac that works online or completely offline.
TRANSCRIBE ANYTHING
Import MP4, MOV, M4A, MP3, and WAV files or record audio directly in the app. Whether it's a podcast, lecture, interview, meeting, or video — get your transcript in seconds.
CLOUD + LOCAL AI MODELS
Choose your transcription engine:
- Cloud: OpenAI Whisper API & NVIDIA Deepgram for fast, accurate results
- Local: Download NVIDIA Parakeet or WhisperKit models and transcribe 100% offline — your audio never leaves your Mac
AI TRANSLATION — 30 LANGUAGES
Translate your transcripts locally using Llama 3.2. Supports Spanish, French, German, Chinese, Japanese, Korean, Portuguese, Italian, Dutch, Russian, Arabic, Hindi, Turkish, Polish, Vietnamese, Thai, Indonesian, Swedish, Danish, and Norwegian. No internet required.
AI SUMMARIZATION
Get instant summaries of your transcripts powered by on-device Llama 3.2. Summarize in the original language or any of the 20 supported languages — all processed locally for complete privacy.
SPEAKER DIARIZATION
Identify who said what. Perfect for interviews, meetings, and multi-speaker recordings. Available with NVIDIA Deepgram, OpenAI Whisper, and NVIDIA Parakeet.
POWERFUL EXPORT OPTIONS
Export your transcripts to TXT, SRT, VTT, Markdown, CSV, or PDF. Create subtitles for video editors, import into note apps, or share formatted documents.
BUILT FOR PRODUCTIVITY
- Clickable timestamps to navigate long recordings
- Search within transcripts instantly
- Edit and refine transcripts in-app
- All transcripts saved locally with SwiftData
PRIVACY FIRST
API keys stored securely in macOS Keychain. Use local models for complete privacy — transcription, translation, and summarization all happen on your Mac.
LOCAL MODELS
- OpenAI Whisper: tiny, base, small, large-v3, large-v3-turbo, distil-large-v3
- NVIDIA Parakeet: v2 (English), v3 (25 languages with diarization), TDT-CTC-110M
- Alibaba Qwen3 ASR
- Llama 3.2: Local AI for translation and summarization
Download Whisper Snapper and turn voice into text — fast, accurate, and private.
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Parakeet Models crash on paid version
mrelpresidente
Paid for the upgrade for the Speaker ID feature of the Parakeet models. That would be great - if they could run. Any transcription using them immediately crashes the application. Support options appear to be non-existent.
Developer Response
Sorry for the frustration! We're a very small team and constantly working to improve things. We've made massive improvements in the Parakeet models in the last couple releases. If you are having any issues please notify us through the support button in the app and I'll personally make sure to help solve them. Thank you mrelpresidente!
HUGE Time Saver!
Lin53y
I am a solo creator working on upping my YouTube content, and one of the biggest bottlenecks in my process was making transcripts and captions. Other apps and programs are so expensive, and they have a ton of features I don’t need. I am SO HAPPY I found this app! Whisper Snapper helped me make a transcript for my 10+ minute videos in seconds!!! I was shocked at how quickly I was able to get exactly what I needed, my video hadn’t even finished uploading to YouTube lol! Thanks for such an awesome app for such a fair price!!
Bulk transcription is here: add multiple files at once and Whisper Snapper will transcribe them in a row, with per-file progress tracking and the ability to add more files even while transcription is running.
Two new local models are available: Parakeet TDT-CTC-110M, a faster and more accurate English model (Pro), and Qwen3 ASR, a multilingual model supporting 30 languages including Arabic, Cantonese, and more.
Speaker identification now works with all local Whisper models, not just Parakeet. The upgraded diarizer also increases the maximum number of identifiable speakers from 4 to 10. Language Selection: Manually select your language to override auto-detection for accurate transcriptions in your language.
Version 1.6
The developer, Evan Harris, indicated that the app’s privacy practices may include handling of data as described below. For more information, see the developer’s privacy policy .
Data Not Collected
The developer does not collect any data from this app.
Privacy practices may vary, for example, based on the features you use or your age. Learn More
The developer indicated that this app supports the following accessibility features. Learn More