Automatically Transcribe and Subtitle Audio and Videos Fast (It's Free) - Powered by Open AI Whisper

David Mbugua
3 Dec 202203:06

TLDRDiscover how to quickly transcribe and subtitle your audio and videos for free with subtitles.ai, a platform powered by Open AI Whisper. The process is simple: upload your file, select the language and model, and let the AI do the work. The video demonstrates the straightforward interface and shows how to download the resulting SRT, VTT, and text files. With Whisper's technology, subtitles.ai offers an efficient solution for content creators looking to enhance their videos with accurate subtitles.

Takeaways

  • πŸ˜€ The video introduces a free website called subtitles.ai for transcribing and subtitling audio and video files.
  • πŸ” The website is powered by Open AI's Whisper technology, and the source code can be viewed on GitHub.
  • πŸ“ Users can upload their files and select the language and model type for transcription.
  • 🌐 The interface allows for translation into different languages, although the video focuses on English.
  • πŸ“ˆ The process involves uploading the file, selecting the medium model, and initiating the transcription.
  • ⏱️ The transcription's progress is shown, including file upload duration, file size, and processing time.
  • πŸ”’ There's a concern raised about the security and privacy of the files being uploaded.
  • πŸ“ Upon completion, the transcription results are displayed in a video interface with subtitles.
  • πŸŽ₯ The video suggests that the subtitle format could be improved for better readability.
  • πŸ“š Download options are provided for the SRT, VTT, and text files of the transcription.
  • πŸ‘ The video concludes by emphasizing the ease and speed of using subtitles.ai, powered by Whisper.

Q & A

  • What is the website mentioned in the transcript that allows users to transcribe and subtitle audio and videos for free?

    -The website mentioned in the transcript is subtitles.ai, which is powered by Whisper.

  • How does the user interface of subtitles.ai work?

    -The user interface of subtitles.ai is simple. Users can select the file they want to transcribe, choose the language of the video or audio file, select the model (e.g., medium), and optionally translate to different languages.

  • What is the GitHub repository mentioned in the transcript?

    -The GitHub repository is where users can check out what is happening in the background of the subtitles.ai service. It provides transparency into the workings of the platform.

  • Can users upload a file directly to subtitles.ai or do they have to choose a file first?

    -Users can either upload a file directly by selecting it or use the 'choose file' option if the file is already available on their device.

  • What is the Whisper model mentioned in the transcript?

    -The Whisper model is a technology that powers subtitles.ai, enabling it to transcribe and subtitle audio and video files. The transcript mentions a 'medium' model, which is one of the options users can select.

  • How does the transcription process start on subtitles.ai?

    -The transcription process starts by uploading the file and selecting the appropriate settings such as language and model. Once the upload is complete, the system begins processing the file.

  • What information is displayed during the transcription process on subtitles.ai?

    -During the transcription process, subtitles.ai displays the file name, language, upload duration, readable file size, frames per second, and the estimated time remaining for the processing to complete.

  • What are the security concerns mentioned in the transcript regarding the files uploaded to subtitles.ai?

    -The transcript raises a concern about the security and privacy of the files uploaded to subtitles.ai, questioning where the files are stored and whether they are secure.

  • Once the transcription is completed, how can users access the results on subtitles.ai?

    -After the transcription is completed, users can wait for the results to load. They are presented with a video interface displaying the subtitles and have the option to download the SRT, VTT, and text files.

  • What are the available download options for the transcribed files on subtitles.ai?

    -Users can download the transcribed files in SRT, VTT, and text formats directly from the results interface on subtitles.ai.

  • What is the main advantage of using subtitles.ai for transcribing and subtitling videos?

    -The main advantage of using subtitles.ai is that it provides a fast, automated way to transcribe and subtitle videos for free, which is particularly valuable for content creators.

  • How can the subtitles.ai service be improved according to the feedback in the transcript?

    -The feedback in the transcript suggests that the subtitles could be improved by splitting them to avoid a bulky appearance and that the code could be updated in the background to enhance the user experience.

Outlines

00:00

πŸ˜€ Introduction to subtitles.ai and its Features

The video introduces subtitles.ai, a free transcription service powered by Whisper. It guides viewers on how to use the website by uploading an English audio or video file and selecting the medium model for processing. The script explains the simple interface, the process of uploading a file, and the option to translate into different languages. It also mentions the GitHub repository for those interested in the technical background.

πŸ” Demonstrating the File Upload and Processing

This paragraph demonstrates the actual process of uploading a file to subtitles.ai. It details the steps taken to upload a file, including selecting the file and starting the transcription. The video script describes the interface elements such as file upload duration, readable file size, ATC, and processing details like frames per second and time remaining. It also addresses potential concerns about file security.

πŸ“ Reviewing the Transcription Results

After the transcription is completed, the script reviews the results by showcasing a video interface with subtitles. It discusses the current state of the subtitles, noting that they are not split and appear bulky, but acknowledges the possibility of code updates to improve this. The paragraph also explains how to download the SRT, VTT, and text files, which are available for users to utilize.

πŸ‘ Conclusion and Acknowledgment

The final paragraph concludes the video by summarizing the process of using subtitles.ai to transcribe and subtitle videos quickly. It reiterates that the service is powered by Whisper and expresses hope that the video has provided value to the viewers. The script ends with a thank you note for watching.

Mindmap

Keywords

πŸ’‘Transcribe

Transcribe refers to the process of converting spoken language into written form. In the context of the video, transcribing is the core function of the website 'subtitles.ai', which is powered by Whisper. The script mentions that users can upload their audio or video files, select the language, and then the system transcribes the content into text, as seen when the video demonstrates the upload and processing of a file named 'English medium'.

πŸ’‘Subtitles

Subtitles are textual representations of the audio content of a video, usually displayed at the bottom of the screen. They are particularly useful for viewers who are deaf or hard of hearing, or for those who want to watch videos in a different language. The video script discusses the use of 'subtitles.ai' to automatically generate subtitles for videos, showcasing how it provides a simple interface for users to upload files and receive subtitled results.

πŸ’‘Whisper

Whisper is the underlying technology or model used by 'subtitles.ai' to perform the transcription and subtitle generation. It is likely an AI-based tool that can understand and process spoken language. The video script mentions 'Whisper' as the power behind the website, indicating that it plays a crucial role in the automatic transcription and subtitle generation process.

πŸ’‘GitHub Repository

A GitHub Repository is a location where code and related files are stored for a project. It is used for version control and collaboration among developers. In the video script, the GitHub repository is mentioned as a place where viewers can check out the background workings of 'subtitles.ai', implying that the source code and development process are open for inspection and contribution.

πŸ’‘Interface

The term 'interface' in the video script refers to the user interface of the 'subtitles.ai' website. It is described as simple, where users can select the file, language, and model for transcription. The interface is the point of interaction between the user and the system, and in this case, it allows for the easy uploading and processing of files for transcription.

πŸ’‘Model

In the context of the video, 'model' likely refers to the specific AI model or configuration used by the Whisper technology to process the audio or video files. The script mentions selecting the 'medium' model, which could imply a balance between accuracy and processing speed or resources. The model is a key component in how the transcription and subtitle generation is performed.

πŸ’‘Translate

Translate in the video script suggests the capability of the 'subtitles.ai' website to not only transcribe but also translate the content of the audio or video files into different languages. Although the video focuses on English, the option to translate indicates that the service can cater to a multilingual audience.

πŸ’‘SRT File

An SRT file is a SubRip Text file, which is a common format for video subtitles. It is a plain text file that contains the subtitles and their timing information. The video script mentions the availability of downloading an SRT file, which allows users to use the generated subtitles with their video content in various video players.

πŸ’‘VTT File

A VTT file, or WebVTT file, is a format used for displaying timed text tracks on the web. It is similar to SRT files but includes additional features and is designed to work with HTML5 video elements. The video script offers the option to download a VTT file, indicating that 'subtitles.ai' supports modern web standards for subtitles.

πŸ’‘Text File

A text file is a simple file format that contains unformatted text. In the context of the video, a text file is one of the output options provided by 'subtitles.ai' after the transcription process. Users can download the text file to have a plain text version of the transcribed content, which can be useful for various purposes such as editing or further processing.

πŸ’‘Frames Per Second (FPS)

Frames per second (FPS) is a measure of how many individual frames are displayed in one second of video. It is an important aspect of video quality and smoothness. The video script mentions FPS in relation to the processing of the uploaded file, indicating the system's capability to handle video files and generate accurate timestamps for the subtitles.

Highlights

Subtitles.ai is a free, automated transcription and subtitling service powered by Open AI Whisper.

You can check the GitHub repository for background information on the platform.

The website features a simple interface for uploading files and selecting language and model.

Users can choose to translate their transcriptions into different languages.

The video demonstrates uploading an English file using the medium model without translation.

Subtitles.ai provides real-time updates on the transcription process.

The transcription is powered by Whisper, which is also featured in subtitle edit buzz.

The platform displays the file name, language, upload duration, and file size during processing.

Users can see the processing speed in frames per second and the estimated time remaining.

Security concerns about file storage and privacy are raised as a potential question.

Once completed, the transcription results are displayed in a video interface with subtitles.

The subtitles could be improved by splitting them for better readability.

The platform allows downloading of SRT, VTT, and text files of the transcription.

The video concludes by summarizing how to use subtitles.ai for fast transcription and subtitling.

The video is powered by Whisper, and the presenter hopes it has been valuable to viewers.

The video ends with a thank you message for watching.

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