InqScribe Support

Yes! InqScribe now includes support for the Whisper transcription model, an advanced AI-based automatic speech recognition (ASR) system.

No. Once you have a valid InqScribe license, you can transcribe unlimited minutes at no extra cost.

No. All transcription is done locally on your computer. Your media stays private, secure, and is never used to train the AI.

Yes. InqScribe allows you to select from a variety of AI models so you can find the one that performs best for your specific media. InqScribe provides 3 basic models that you can explore, or you can download additional models from Hugging Face.

InqScribe uses OpenAI’s Whisper. It is a machine learning model, designed for automatic speech recognition (ASR).

Yes. Whisper supports a number of different languages, including transcriptions of multiple languages in the same transcript, as well as some language translation. If you would like more information on how Whisper works, visit the Whisper GitHub page.

Absolutely. You can review, edit, and refine your transcript using InqScribe’s integrated media window and timecode tools.

Yes. InqScribe offers freeform transcripts, meaning you can add notes or edits anywhere you like—no rigid formatting required.

No automatic speech recognition system is perfect. See Tips, below, for more information.

Speaker identification is not supported at the moment. But you might find that some Whisper models will mark voice changes. This is something we will look into in the future.

If you have installed .NET 8 on your Windows computer but InqScribe does not seem to recognize that .NET 8 is installed, you probably need to install .NET for both `ARM64` and `x64`.

Please visit the InqScribe 3 and .NET 8 page and download and install both of these .NET installers:

• Intel CPU (x64)
• ARM CPU (arm64)

This is a known issue in our current beta. We will be fixing this in a future release.

There is a known bug in the current beta that results in a `Transcription Failed` message when using a Windows computer with an ARM processor. e.g.

Transcription Failed
Job Name	declaration_of_independ.mp3 icon
Model	ggml-tiny.bin
Media	declaration_of_independ.mp3 icon
Media Duration	0s
Transcribed at	Jan 9, 2026, 5:26:38 PM
View Raw Output
Close Transcription
Log
Job: transcribe file:///C:/Users/Ben/Downloads/declaration_of_independ.mp3 using model "ggml-tiny.bin"


"C:\Users\Ben\AppData\Local\Programs\InqScribe\InqScribe Resources\wav-trans.exe" "C:\Users\Ben\Downloads\declaration_of_independ.mp3" "C:\Users\Ben\AppData\Local\Temp\rbtFE18.tmp"

You must install .NET to run this application.

App: C:\Users\Ben\AppData\Local\Programs\InqScribe\InqScribe Resources\wav-trans.exe
**Architecture: x64**
App host version: 8.0.19
**.NET location: Not found**

Learn more:
https://aka.ms/dotnet/app-launch-failed
    

Note the two messages:

• `Architecture: x64`
• .NET location: Not found`

The workaround is to install .NET for both `x64` and the `ARM64`. Please visit the InqScribe 3 and .NET 8 page and download and install both of these .NET installers:

• Intel CPU (x64)
• ARM CPU (arm64)

This is a known issue in our current beta. We will be fixing this in a future release.

This is a known issue with Whisper. While improvements are underway, here are a few things you can try:

• Experiment with different models, both smaller and larger. Larger models are not always better; results may vary.
• Repetitions are often caused by long pauses in the audio. Try splitting your media into shorter segments or removing long pauses to improve results.