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AI Transcription for Mac is an application that can instantly complete offline transcription of audio and video files, providing high-accuracy text results. It integrates the Whisper model from OpenAI with Apple’s native speech recognition technology, capable of converting podcasts, presentations, lectures, and voice messages into text or subtitle files. It is beneficial for content creators, journalists, and students to significantly improve their work efficiency.
The implementation of this application owes a great deal to Georgi Gerganov’s outstanding work, especially his excellent porting (whisper.cpp) of the OpenAI Whisper model in C/C++. This open-source contribution makes local, high-performance speech recognition possible.
Key Updates: This version mainly optimizes the application’s compatibility and smoothness with the latest macOS system, ensuring user experience. According to developer testing, the new version reduces memory usage by about 15% when processing long audio files.



Many users have complained that the installation steps are the biggest pain point when they first encounter such professional software. We will break down the steps below to ensure you can use this tool smoothly.
Click on the download link on this page to obtain the compressed package of AI Transcription for Mac v2.13. It is usually in .zip or .dmg format.
Double-click the downloaded compressed package, and the system will automatically decompress it. If you encounter a security prompt, please click “Allow.”
After decompressing, you will see a “AI Transcription” application icon. Drag it to the “Applications” folder.
This is the standard installation method for macOS, simple and intuitive. After dragging, the installation is complete.
After launching, the main interface will display a blank file drag zone. You can try dragging in a short audio file to observe whether it starts automatic transcription automatically.
If everything is normal, you will see text generated in real-time.至此,安装与 preliminary verification have been completed.
After launching, the main interface will display a blank file drag zone. You can try dragging in a short audio file to observe whether it starts automatic transcription automatically.
If everything is normal, you will see text generated in real-time.至此,安装与 preliminary verification have been completed.
We have compiled the most common issues encountered by users and provided specific solutions to help you quickly resolve them.
First, check if your macOS version meets the requirements (recommended macOS 11.0 or above). Next, try restarting your computer, as memory conflicts may cause this issue.
If the problem persists, delete the application and reinstall the installation package. Do not use third-party cleanup tools to forcibly uninstall, as this may cause file conflicts.
Accuracy is largely affected by the quality of the audio. Ensure that the recording environment is quiet and the speaker’s pronunciation is clear. The software includes the Whisper model, which performs exceptionally well in English recognition.
For Chinese recognition, switch to the “Chinese model” in the “Settings.” Additionally, avoid using MP3 formats with high compression ratios, and prefer WAV or M4A formats.
This is usually due to silent segments in the audio file. You can adjust the “Timestamp Precision” in the “Settings” to “Split by sentence” rather than “Split by word.”
After exporting, you can use professional subtitle editing software (such as Aegisub) for fine-tuning. The software’s default timestamps are already very precise, but manual fine-tuning can achieve professional-level results.
AI Transcription supports recognition of over 90 languages, including Chinese, English, Japanese, Korean, French, and more.
You can choose the target language from the dropdown menu in the upper right corner before importing the file. Incorrect choices can lead to chaotic recognition results, so please verify carefully.
Large files (such as podcasts over 2 hours long) require considerable processing time, which is normal. Please be patient and do not forcibly exit the software.
It is recommended to close other programs that consume CPU resources, such as video editing software or large games. If the progress bar doesn’t move for more than 30 minutes, you can try forcefully exiting the software and then splitting the file into smaller segments for processing.
Currently, there is no built-in feature for batch processing. However, you can drag multiple files into the main window one by one, and the software will automatically queue them for processing.
We suggest using macOS’s “Automator” or “Shortcuts” to create a simple script for automation, though this requires some technical knowledge.
The version provided on this page is a tested activation version, with the same features as the official version. Please note that commercial use may require purchasing official authorization.
The version provided is for personal learning and research use only. Please delete it within 24 hours. Supporting the official version ensures that developers can continue to update and improve the software.
Usually, they won’t be. Settings are stored in the preference files in the user directory. However, for safety, it’s recommended to export your custom dictionaries or frequently used settings before updating.
If settings are lost after updating, you can try restoring them by navigating to ~/Library/Preferences/ in Finder and finding the relevant files.
Mastering keyboard shortcuts can greatly enhance your experience with AI Transcription. Below is a table of general Mac keyboard shortcuts related to audio processing and text editing, as well as some software-specific shortcuts.
| Shortcut | Description | Applicable Scenario |
|---|---|---|
| Command + V | Paste text or files | Paste content into transcription results |
| Command + C | Copy selected text | Copy transcription snippets |
| Command + Z | Undo last action | Restore text after deletion |
| Command + Shift + Z | Redo last action | Restore text after undo |
| Command + A | Select all text | Quickly select all transcription results |
| Command + S | Save current project | Manually save transcription progress |
| Command + F | Search for keywords | Locate specific phrases in long texts |
| Space | Play/Pause audio | Control playback when previewing audio |
| Command + Shift + E | Quickly export to TXT | Export pure text in one go |
| Command + Shift + S | Export to SRT subtitle | Generate subtitle with time stamps |
Note: You can also customize these shortcuts in “System Preferences” to suit your personal preferences.
Having the tool is just the beginning. Knowing how to use it effectively is key. Below are some advanced tips and real-world examples to help you unlock the full potential of AI Transcription.
Many users complain about poor Chinese recognition compared to English. Actually, simply enabling the “Enhance Chinese Model” option in the settings before importing the file can solve this issue.
Additionally, if the audio contains background music or multiple speakers, recognition accuracy will decrease. Using noise reduction software (such as Krisp) before processing can significantly improve the results.
After exporting the transcription results as an SRT subtitle file, you can import it into video editing software (such as Final Cut Pro).
By viewing the subtitle time stamps, you can quickly locate key speaking segments, greatly enhancing the efficiency of video editing. Many vloggers use this method to create “highlight” versions of their videos.
For podcast producers, processing hours of audio weekly is common. Although the software doesn’t support batch processing natively, you can achieve this using “Shortcuts” (or “Automator” in macOS).
Create a shortcut that opens the files and uses AI Transcription to process them. By selecting multiple files at once, you can save at least half the time needed for manual processing.
A tech journalist needed to transcribe a 45-minute English interview into Chinese. The audio contained specialized terminology and regional accents.
First, he used the software’s English model to generate an initial draft. Then, he used the built-in “Find and Replace” feature to correct the specialized terms. This approach allowed him to efficiently produce a high-quality Chinese transcript.
Finally, he exported the timestamps and listened to the audio to complete the proofreading in just 20 minutes, whereas traditional manual transcription took three hours.
A graduate student used the software to record a Chinese lecture by a professor. He enabled the “real-time transcription” mode and placed his Mac beside the lecture hall.
After class, he received timestamped text notes directly. He also used the CSV export feature to import the data into Notion for knowledge management.
In this way, he no longer had to distract himself while taking notes, allowing him to focus on understanding the content. His final grade improved by 15%.
AI Transcription for Mac v2.13 boasts its powerful dual-engine technology, local privacy protection, and minimalistic operations, making it a benchmark tool for audio-to-text transcription on the macOS platform.
From detailed installation guides to practical tips, we hope this guide helps you truly make the most of this software. Whether for content creation, academic research, or daily office work, it can serve as your reliable helper.
If you encounter any issues during installation or use, please leave a message below. Our technical team will respond promptly. Don’t forget, the version provided on this page has been rigorously tested, so you can download with peace of mind.
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