FreeSubtitles.ai is a comprehensive transcription service that offers both free and premium options. Its goal is to trivialise language differences and democratise access to transcription services by transcribing any content from any language into any language.
The free version of the service allows users to transcribe files up to 300 MB in size and 1 hour in length. The Whisper Model Medium is used for high accuracy in transcription, and the Open Source M2M_100 Model is used for good translation accuracy. When the browser tab is closed, the transcription process is terminated.
In contrast, the paid version allows for a maximum file size of 10 GB and a maximum duration of 10 hours. It employs the Whisper Model Large V2 for the most accurate transcription and DeepL or Yandex for the most accurate translation. The transcription process can be started without opening a browser tab, and paid users are prioritised in the queue.
The service provides translation in 91 different languages. Paid users can use the free model to translate to 5 languages and also use the paid transcription models. For translation, they can use the Open-Source M2M_100 (Free), Yandex Paid API (+$0.99/h), or DeepL Paid API (+$1.49/h).
When OpenAI released their Whisper ASR technology as an open-source project, they inspired the creation of FreeSubtitles.ai. The platform was self-funded and designed to provide a convenient and accessible transcription service.
For free users, the platform ensures user privacy and security by automatically deleting all media after 30 minutes and all transcriptions after 24 hours. However, there is also the option to delete the media and transcriptions as soon as the transcription is finished. This permanently removes the files from the server. All files are uploaded in an encrypted SSL format. Paid users have the option of storing media files indefinitely.
As of this writing, FreeSubtitles.ai had completed 199,008 transcriptions, totalling 60,460 hours (3,627,575 minutes). The platform's technology is constantly being improved and fine-tuned in order to provide the most accurate transcriptions possible.
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