AutoSub

This Python script automates the process of transcribing a video file and encoding subtitles. It transcribes audio from the video and creates subtitle files, making it easier to add subtitles to your video content

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Who This Might Help

This tool is designed to help individuals and teams who need to quickly transcribe and subtitle videos. It can be particularly useful for:

• Transcriptionists: Easily convert audio from videos into text for transcribing purposes.
• Content Creators: Add subtitles to videos for better accessibility and engagement.
• Video Editors: Streamline the process of subtitle creation and embedding for video projects.
• Educators: Generate subtitles for educational videos or lectures.
• Social Media Managers: Add subtitles to videos for sharing on platforms like YouTube, Instagram, or TikTok.
• Accessibility Advocates: Ensure videos are accessible to the hearing impaired by adding accurate subtitles.

---# Video Transcription and Subtitle Encoder

System Requirements

• Operating System:
  Windows

• Minimum RAM:
  4 GB

• Processor:
  Intel i3 or equivalent

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Software Requirements

1. FFmpeg
   Required for handling video and audio processing.

2. Python
   Ensure Python is installed (preferably version 3.7 or higher).

3. Pip
   Python's package installer (usually comes with Python).

4. Whisper (OpenAI) Used for transcribing audio from various audio files or video files.

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Note: Make sure all the software dependencies are properly installed before running the script.

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🚨 Important Note 🚨

⚠️ Attention:
If your system has lower specifications (e.g., lower RAM or an older processor), it is recommended to choose a smaller model in Whisper.
Using a larger model may cause performance issues or errors on lower-end systems. ⚡️

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Pros of This Program

• Automated Workflow:
  The entire process—from transcription to subtitle embedding—is automated, saving time and effort.

• Supports Multiple Subtitle Embedding Options:
  Users can choose between soft and hard embedding of subtitles, giving flexibility depending on the use case.

• Open-Source and Easy to Use:
  The script is written in Python and relies on popular libraries like Whisper and FFmpeg, making it easy for developers to adapt and customize.

• Enhanced Accessibility:
  Automatically adds subtitles to videos, making them accessible to a wider audience, including the hearing impaired.

• Fast Transcription with Whisper:
  Leverages the Whisper model from OpenAI for high-quality audio-to-text transcription, ensuring accurate results.

• Customizable for Low-End Systems:
  The program allows users with lower-spec systems to choose smaller models to avoid performance issues, ensuring a wider compatibility.

• Supports Popular Video Formats:
  Works with a variety of video formats, ensuring versatility for different types of media.

• Efficient Video Processing:
  Utilizes FFmpeg, a powerful tool for video processing, ensuring smooth and fast video and subtitle embedding.

• Free and Open-Source:
  Being open-source, this tool is free to use and can be modified or extended to suit specific needs.

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Roadmap of the Process

This project automates the process of transcribing video content, creating subtitles, and embedding those subtitles into the video. Below is a detailed roadmap of the entire process:

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Process Overview

1. Convert Video to Audio

   • The program uses Whisper to extract audio from the video file.

2. Transcribe Audio to Subtitles

   • The audio is then transcribed into subtitles using Whisper.

3. Embed Subtitles into Video

   • The program prompts the user to choose the type of subtitle embedding:
     • Soft Embedding (subtitles are stored as a separate file and displayed during playback)
     • Hard Embedding (subtitles are permanently embedded into the video)
   • Depending on the choice, the program uses FFmpeg to embed the subtitles.

4. Generate Output File

   • After embedding the subtitles, the program creates the final output video file with the selected subtitle embedding.

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Visual Workflow:

[Video File] 
     |
     v
[Whisper: Convert Video to Audio]  
     |
     v
[Whisper: Transcribe Audio to Subtitles] 
     |
     v
[Choose Embedding Type: Soft or Hard] 
     |
     v
[FFmpeg: Embed Subtitles] 
     |
     v
[Output Video File with Subtitles]