As the world becomes increasingly digital, video content has
become a staple in our daily lives. From tutorials to vlogs and product demos,
videos are a powerful way to convey information and engage audiences. However,
with this rise in video content comes a new challenge: transcribing videos into
text.

Transcribing videos is essential for a variety of reasons,
from providing closed captions for accessibility to optimizing videos for
search engines. But transcribing videos can be time-consuming and tedious. Not
to mention the hassle of setting up API keys or paying for transcription
services. That’s where VTT-Snap comes in.

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Transcribe Videos to Text – Free VTT-Snap Tool by Tigerzplace

 Automatically Transcribe Videos to Text with VTT-Snap

VTT-Snap is an open-source solution that makes video transcription
a breeze. Developed by Tigerzplace, this script is a quick and easy way to
transcribe videos with high accuracy, automatically, and without the need for
any API setup. The script uses the moviepy and speech_recognition libraries to
break down the video into smaller chunks and then transcribe each chunk using
Google’s speech recognition API. And, with the power of parallel processing,
VTT-Snap can transcribe videos at lightning speed.

In summary, VTT-Snap has:

  1. User-friendly interface
  2. Fast and efficient transcription
  3. Automated transcription process
  4. Support for multiple video formats
  5. Accuracy in transcribing videos to text

Getting Started with VTT-Snap

It’s time to get started with getting VTT-Snap set up and
running once you’ve read the introduction. I’ll show you how to install the
required libraries and dependencies, download and set up VTT-Snap from GitHub,
and run the script in the following steps.

A. Install the required libraries and dependencies

Before you can start using VTT-Snap, you’ll need to make
sure you have the necessary libraries and dependencies installed. Two main
libraries are required: moviepy and speech_recognition, as well as some others.

To install the required libraries, you can use pip and the
requirements.txt file provided in the VTT-Snap folder. Open your command prompt (as Admin) and navigate to the
directory where you have downloaded VTT-Snap and then type the following
command:

[
pip install -r requirements.txt
]

This command will 
install all the needed libraries, along with any other dependencies
required for the script to run.

Note: Make sure you are using Python version
3.11.0. This version will make sure the requirements are installed without any
issues. If you don’t have Python installed on your PC, you can download it from
here: (https://www.python.org/downloads/)

In addition to the Python libraries, VTT-Snap also requires
ffmpeg to be installed on your system in order to function properly. FFmpeg is
a command line tool that is used to convert multimedia files. It is used by
VTT-Snap to extract audio from videos and to cut videos into chunks. To install
ffmpeg, follow the tutorial here:
https://www.wikihow.com/Install-FFmpeg-on-Windows. Make sure to add ffmpeg to
the system path after installation.

Please make sure you are using Python version 3.11.0 as the
script is built on it.


B. Downloading and setting up VTT-Snap from GitHub

You need to download the VTT-Snap script. Go to the VTT-Snap
repository on GitHub (https://github.com/Tigerzplace/VTT-Snap) and click
“Clone or download” to get the script.

Once you’ve downloaded the script, extract the files and go
to the extracted folder, then run the script from there using cmd.

 

C. Running VTT-Snap and using the command line arguments

Once you’ve set up the script, you can use it on your videos
to get text from speech for free. In order to run the script, you have to use
the cmd and cd (change directory) to the script’s folder or simply open cmd in
that folder. Once your cmd environment is in the same folder/ directory then
using the following command, you can run the script:

 

[ python vtt_snap.py [path/to/video_file.mp4] ]

 

The script takes one argument, which is the path to the
video file that you want to transcribe into text. Once you’ve provided the path
to the video file. If the script and video are in the same folder, you can
simply provide the video name with an extension after the script.

 

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Running VTT-Snap and using the command line arguments

Then just hit enter and it will start transcribing the video
into text by first converting it to audio files and then converting those audio files to
text. In technical terms, it will cut the video into chunks, transcribe each
chunk, and save the transcribed text in a file named
“recognized.txt”.

How VTT-Snap Works

In this section, we’ll take a detailed look at the inner
workings of VTT-Snap, including a detailed explanation of the process of
transcribing videos, a discussion of the technologies and libraries used, and a
comparison of VTT-Snap to other video transcription tools and services. If you
are not interested, you can just skip this part, no need to understand it at
all but still, I am leaving the details in case someone wants to learn about
it, or maybe it can help someone create another video to text transcribe tool
even a better one, so yeah this part is for developers and learners ; )

 

A. Process of transcribing videos with VTT-Snap

The process of transcribing videos with VTT-Snap is
relatively simple and straightforward. The script first takes the video file
provided as an argument (which we provided as a path in our earlier example)
and uses the moviepy library to cut the video into chunks/ parts. Each
chunk/part is then processed individually to extract the audio, which is then
saved as a .wav file in the “audios” directory. The script requires
two directories: “parts” and “audios”. The
“parts” directory is used to store chunks of the video, and the
“audios” directory is used to store the audio files that are
generated from the video chunks. If the directories are not present, the script
will create them automatically.

The speech_recognition library is then used to transcribe
the audio files with Google’s speech recognition API. However, you don’t need
to provide any API details and that’s why I said at the beginning of the blog
that the script doesn’t require any API. You don’t need to set up any. As this
is not the most accurate way to transcribe each and every line in the video,
accuracy may be lost. But don’t worry, this is just a simple version without
extra technical features. I’ll provide another script that uses Google’s Speech
to Text API and is much more accurate than this one.

Anyway, for now, let’s get to this script part. After the above step,
the transcribed text is then saved in a file named “recognized.txt”
in the same script’s directory. The script also takes care of parallel
processing which speeds up the process of transcribing videos.

B. Technologies and libraries used in VTT-Snap (e.g. moviepy, speech_recognition)

VTT-Snap uses two main libraries: moviepy and
speech_recognition. The moviepy library is used to cut the video into chunks,
while the speech_recognition library is used to transcribe the audio files as
mentioned above.

Moviepy is a powerful and easy-to-use library if you want to
handle video editing with Python. Among its many features is a range of tools
for cutting, concatenating, and modifying video files. This makes it an ideal
choice for video processing tasks using Python, specifically.

Speech_recognition is a library for performing speech
recognition, with support for several engines and APIs, including Google Speech
Recognition, Microsoft Bing Voice Recognition, and many more. It makes it easy
to integrate speech recognition into your Python applications.

C. Comparison of VTT-Snap to other video transcription tools and services

When compared to other video transcription tools and
services, VTT-Snap stands out for its simplicity and efficiency. Unlike other
tools, VTT-Snap doesn’t require any setup. You just need to install the
required libraries and dependencies. It also doesn’t require any API keys or
monthly subscriptions, making it a cost-effective solution for video
transcription.

Additionally, VTT-Snap’s parallel processing sequentially.
This makes VTT-Snap an ideal choice for transcribing long videos or a large
number of videos at once for free.

D. Parallel processing speeds up the transcription process

Parallel processing is a technique that allows multiple
tasks to be performed simultaneously, in contrast to sequential processing
where tasks are performed one after the other. In VTT-Snap, parallel processing
is used to transcribe multiple chunks of video simultaneously, rather than
transcribing them sequentially. I first tested it with sequential processing
and it took a long time. Using parallel processing, the script creates chunks
of the video at once and then processes the video to obtain the audio files and
then converts them into text.

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Parallel processing speeds up the transcription process

This results in a significant speedup in the transcription
process, especially for long videos. By utilizing multiple cores on the
computer, the script is able to transcribe multiple chunks of the video at the
same time, reducing overall transcription time.

Conclusion

In conclusion, VTT-Snap is an open-source tool that makes
transcribing videos to text fast, easy and accurate. The script uses moviepy
and speech_recognition libraries to cut the video into chunks and transcribe
each chunk using Google’s speech recognition API. It also takes care of
parallel processing which speeds up the process of transcribing videos.

With VTT-Snap, you can transcribe videos with ease, and in
no time, you will have a text transcript of the provided video which can be
used for closed captions, subtitles, video analysis, and search engine
optimization, in my case it helped me in my affiliate blogging, I was first
using paid service like otter and other. They were also good but not free, so I
scripted my own, it’s not up to the level but still, give me enough text from
the video to start with, I’ll share another more accurate script for this but
it will need to set up an API for it. For right now, using this script you don’t
need to worry about setting up any API or purchasing any services, just provide
the video and the script will give you the text.

I hope you find this tool and blog post helpful. Also, you
might have found it informative in terms of getting a get a clear understanding
of how VTT-Snap works and the benefits it offers. You can download VTT-Snap from
here: https://github.com/Tigerzplace/VTT-Snap. You can also check out the video
tutorial on how to use VTT-Snap to get started quickly.

A Simple and Fast Way to Automatically Transcribe Videos to Text.

A Simple and Fast Way to Automatically Transcribe Videos to Text

If you have any questions or feedback about VTT-Snap, please
feel free to leave a comment. I am always happy to help and improve the tool.