Creating a new transcription in Whishper is very easy, even if you have never used such tools before. All you need to do is upload an audio file or paste a link to the media, then click the “Start” button. From that moment on, the system will take over and automatically start converting speech to text.

Whishper is designed to make the process as simple as possible. You don’t need to configure anything manually or understand the technical details — just specify the audio source, and the program will do all the work itself: analyze the sound, determine the language, transcribe the speech, and create the finished text. Depending on the length of the recording and the model selected, the processing time may vary slightly, but everything happens automatically, without user intervention.

A special feature of Whishper is that it supports the simultaneous upload of multiple files. You can add several audio recordings in a row — the system will queue them and process them one by one, in the order in which you uploaded them. This is especially convenient if you are working with a series of podcasts, interviews, or lectures and want to save time. You don’t have to run each transcription manually — just upload all the files at once and wait for the queue to complete.

Another advantage of Whishper is the ability to choose a recognition model for each file. For example, you can choose a faster model for short recordings and a more accurate model for long interviews or complex audio material, even if it takes a little longer. This approach allows you to flexibly customize the process to suit your tasks and balance speed and quality.

When processing is complete, the finished transcript will appear in the task list. From there, you can view it, edit it, download it in the format you need, or translate it into another language. Everything is designed intuitively so that the user can focus entirely on the content rather than the technical details.

Thus, creating a new transcript in Whishper takes just a few clicks. You upload the audio, select the desired parameters, and let the system do the rest. The simple interface, batch processing capability, and support for different models make this tool a convenient and effective solution for anyone who regularly works with audio materials.