Fuse is built natively for Mac, leveraging on-device AI for faster, more private processing. It also includes unique features like visual layers and dynamic splitting that are not found in most competitors.

Fuse Caption Studio is optimized for Apple Silicon and requires macOS 15.5 or later. We recommend at least 16GB of unified memory for the best performance.

Some versions of intel Macs are compatible with Fuse Caption Studio.

Please be aware that you are required to be running macOS 15.5 or later, and that Fuse has been built from the ground up for Apple Silicone devices, which might affect performance on Intel Macs.

Fuse Caption Studio leverages the power of Whisper, a state-of-the-art AI model from OpenAI, for transcription.

This allows Fuse to deliver incredibly accurate and fast results directly on your device. By using this powerful, industry-leading technology, we can focus on providing a seamless user experience with powerful editing tools, all while ensuring your data remains private and secure.

Yes.

Since all of our transcription and processing models run locally on your Mac, you can use Fuse Caption Studio completely offline.

Yes.

The free version of Fuse Caption Studio allow users to use most of the features without a trial time limit.

Once the user is ready, we offer a low monthly subscription or a one time purchase option.

While Pro is a monthly subscription, Lifetime Pro allow users to buy the license outright.

This is great for users that hate subscriptions and do not mind to pay a little extra to own the software.

Fuse offers a range of models, each with a different balance of speed and accuracy to suit your needs.

• Tiny and Base: These are the fastest models. They are ideal for quick, short videos or for generating a rough draft of a transcript.
• Small and Medium: These models offer a great balance of speed and high accuracy. They are an excellent choice for most content creators and podcasts, providing professional-grade results without a long wait time.
• Large: This is our most powerful and accurate model. While it requires more time and system resources, it provides the highest possible transcription quality, making it the best choice for critical projects where precision is paramount.