Transcribe Unlimited Long Videos, Audio & Music Free – Video to SRT – Any Language

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Subtitling and transcribing media content is essential for accessibility, translation, and search engine optimization (SEO). However, most commercial transcription platforms impose high per-minute fees and strict upload size limits. This tutorial provides a complete step-by-step walkthrough of the **AI Video Transcriber**, a free cloud-based tool hosted on Google Colab. Powered by OpenAI’s Whisper model, it allows you to transcribe unlimited hours of video, audio, and music files in any language, generating both text transcripts and SRT subtitle files automatically.

Table of Contents

1. What is the AI Video Transcriber?

The AI Video Transcriber is a pre-configured cloud application that runs OpenAI’s open-source speech recognition model (Whisper) on Google’s virtual servers. Whisper is trained on diverse audio datasets, allowing it to transcribe speech under heavy background noise, parse multiple accents, and translate foreign language speech into English text. Because all rendering occurs on Google’s cloud virtual machines, you do not need a high-end computer to transcribe long video projects or generate high-fidelity SRT subtitle files.

2. Accessing the AI Tool via UDP Custom

To access the pre-configured notebook, follow these steps:

  1. Open your browser and search for Custom UDP.
  2. Navigate to the homepage: udpcustom.online.
  3. Tap on the site’s primary menu navigation bar and select the AI Tools section.
  4. Find the **AI Video Transcriber** card, tap on it, and click **Open Colab Notebook** to open the project in Google Colab. Sign in with your Google account.

3. Enabling Google Colab’s Free T4 GPU

AI transcription requires parallel processing capabilities. You must mount Google’s T4 graphics accelerator before executing cells:

  1. Inside the Colab notebook tab, click on the **Runtime** option in the top header menu.
  2. Select **Change runtime type** from the dropdown menu.
  3. Under Hardware accelerator, choose **T4 GPU** from the options list and click **Save**.

4. Executing the Notebook and Compiling Backend

To compile the system environment and launch the transcriber interface:

  1. Tap on the **Runtime** menu option again.
  2. Select **Run all** (or use the shortcut `Ctrl + F9` on Windows/Linux, or `Cmd + F9` on macOS).
  3. Allow the virtual machine approximately 2 minutes to compile. Once setup completes, scroll down to the final cell’s output to find the Gradio public URL link (ending with .gradio.live) and open it.

5. Transcribing Media inside the Gradio Web Interface

Once you are redirected to the Gradio web dashboard, run your files:

  1. Upload Media: Drag and drop your audio or video file into the designated upload panel.
  2. Configure Language: Select the source language spoken in the recording from the drop-down selector (e.g. English, Spanish, Urdu, Arabic).
  3. Transcribe: Click the **Transcribe** button. Once the ASR model completes processing, the full text transcript (TXT) and subtitle track (SRT) will load on the right side of the panel for you to preview and download.

6. Supported Media Formats and Multilingual Capabilities

The transcription engine is highly versatile and handles a broad spectrum of file types natively:

  • Supported Video Formats: MP4, MOV, AVI, MKV, and WEBM.
  • Supported Audio Formats: MP3, WAV, M4A, FLAC, OGG, and AAC.
  • Multilingual Support: The system transcribes over 90 different languages, including regional accents. It can also translate foreign language speech directly into structured English text in real time.

7. Frequently Asked Questions (FAQ)

Q1: Is there a maximum file size or duration limit for transcribing videos?
A: The cloud model has no built-in limits on video duration or file sizes. However, extremely large files (e.g., several gigabytes) may take longer to upload to the virtual server depending on your internet connection upload bandwidth.

Q2: Why does the Gradio public link fail to load or display a connection error?
A: Gradio public links expire if the Google Colab session goes idle or is disconnected. Return to your Colab tab, confirm that the virtual machine status shows connected, and run cell 3 again to generate a new active URL.

Q3: Can I generate SRT files with custom timestamp alignments using this tool?
A: Yes. The Whisper backend automatically segments the audio into semantic phrases and aligns the timestamps. The generated SRT output file can be uploaded directly to video platforms like YouTube or imported into video editors.

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