Multilingual Whisper
Transcribe supported languages, including Arabic. Compatible multilingual models can also produce a separate English translation.
English-only, Turbo and distilled variants are not offered for English translation.
Local transcription for Mac
Turn recordings into readable transcripts on your Mac, with local models and a workspace that keeps the source.

One workspace for the whole journey, with the original always within reach.
Import audio or video. Or inspect a media link and choose to download it.
Choose a compatible local model and spoken language. Start transcription when you are ready.
Jump back to the audio with timestamps. Save edits as separate versions, keeping the original output.
Export a readable document, structured transcript, or timed captions when alignment is available.
A local first approach
Your speech model runs locally. Recognition and audio conversion run in separate processes with network access denied.
Read the privacy detailsRecordings, transcript versions and job history are stored locally with owner-only file permissions. This is not an encryption feature.
Inspecting media links, downloading media and downloading models use the internet. Recognition does not use a cloud service.
No account, app analytics, remote transcript service or cloud AI. Your original recording and earlier transcript versions are retained.
LocalScribe checks a model's capabilities before a task begins. Language support depends on the model you choose.
Transcribe supported languages, including Arabic. Compatible multilingual models can also produce a separate English translation.
English-only, Turbo and distilled variants are not offered for English translation.
Transcribe its supported European languages locally. Parakeet does not support Arabic and does not translate into English.
The app helps you switch to a compatible model while keeping your selected language.
Models are not bundled. Use a compatible model already on your Mac, validate a model file, or explicitly download one. Arabic and other supported right-to-left scripts have reading layouts and Unicode exports.
Six ways to move your transcript into the next part of your work.
SRT and VTT need timing from the speech model. Free-text edits have no caption alignment, so edited copies export as text, Markdown, JSON or PDF.
Launch in preparation
We are planning a one-time price for LocalScribe, with a smaller launch price for early customers.
Checkout is not open yet. Signing, notarization, clean-Mac setup and distribution testing come first. Final pricing and purchase terms will be published before sales begin.
$10USD
Planned regular price $15
The speech models are separate downloads. A public app download will follow distribution readiness.
Ask about launchOpens your email app. No mailing list or account.
The core is working. The next priority is making it ready for someone else's Mac.
Import and download media, run local recognition, preserve versions, review with audio, and export in six formats.
Developer signing and notarization, clearer first-run setup, clean-Mac testing, model guidance, and purchase support.
Timed editing, version comparison, recording organization and tested link coverage are proposed improvements.
Priorities may change. Later ideas are not release promises.
Read the full roadmapPublic checkout and distribution are not open. The current app is a personal, ad-hoc signed build. We are preparing signing, notarization, setup instructions and testing before a public sale.
The current build has been tested on Apple Silicon with macOS 27. Older macOS versions and Intel Macs have not been validated. Broader support will be assessed as part of the roadmap.
With the required tools and a compatible model available locally, recognition and audio conversion run without network access. Checking links and downloading media or models require the internet. ffmpeg and yt-dlp are currently installed separately.
Arabic transcription requires a compatible multilingual Whisper model. Parakeet v3 does not support Arabic. English translation is a separate task available only with compatible multilingual Whisper models. Language options depend on validated model capabilities.
Imported originals are copied into the local library. Recognition saves a new version, and editing creates a separate copy. Previous versions remain available. Review recognition output before relying on it.
It currently works with imported or downloaded media. Live microphone recording, speaker diarization, summaries, license activation and an automatic updater are not implemented.