A tool to transcribe and summarize video content.
Project description
digestvid
digestvid
is a Python package designed to automate the transcription, summarization, and processing of video content. It supports both local video files and YouTube videos, leveraging advanced AI models for accurate transcription and concise summarization. With digestvid
, users can efficiently digest video content, making it an ideal tool for content creators, educators, and researchers.
Features
- Transcribe Audio from Videos: Converts spoken words in videos into text using the Whisper model.
- Summarize Transcribed Text: Generates concise summaries from transcribed text using OpenAI's powerful models.
- YouTube Video Support: Downloads YouTube videos for processing, including handling videos with chapters.
- Video Screenshot Capture: Automatically captures and saves a screenshot from the midpoint of a video.
- Flexible Output Management: Saves transcriptions, summaries, and screenshots in user-specified directories, with support for filename sanitization.
Installation
Ensure you have Python 3.6 or later installed. It's recommended to use a virtual environment for installation:
python3 -m venv venv
source venv/bin/activate
Install digestvid
using pip:
pip install git+https://github.com/AI-Sherpa/DigestVid.git
Usage
After installation, digestvid
can be used from the command line to process either a local video file or a YouTube URL:
digestvid <path to video file or YouTube URL>
Examples
Process a local video file:
digestvid path/to/video.mp4
Download and process a YouTube video:
digestvid https://www.youtube.com/watch?v=dQw4w9WgXcQ
Contributing
Contributions to digestvid
are welcome! You can contribute by reporting bugs, requesting features, or submitting pull requests. Please read our contribution guidelines for more information.
License
digestvid
is released under the MIT License. See the LICENSE file for more details.
Project details
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
Built Distribution
File details
Details for the file digestvid-0.2.1.tar.gz
.
File metadata
- Download URL: digestvid-0.2.1.tar.gz
- Upload date:
- Size: 10.1 kB
- Tags: Source
- Uploaded using Trusted Publishing? Yes
- Uploaded via: twine/4.0.2 CPython/3.11.8
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | 90b7eb8e4c86cf4ec3c91498aca4ed0ffcc49da054679def9570048a593096e1 |
|
MD5 | 6b20a43f6b41c46b6f101928fb7eec57 |
|
BLAKE2b-256 | 8d82a566673008ced74861e17f2fa27e16b7b3fac75ed78e5a3073e339e99754 |
File details
Details for the file digestvid-0.2.1-py3-none-any.whl
.
File metadata
- Download URL: digestvid-0.2.1-py3-none-any.whl
- Upload date:
- Size: 10.6 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? Yes
- Uploaded via: twine/4.0.2 CPython/3.11.8
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | 07bc84bb7030617b3f6eb9a90d8d7ca61115c185c6455910817ca859130c7061 |
|
MD5 | 8e34734fa90cc6a4460d8df7bcaf0b0a |
|
BLAKE2b-256 | df8572044a35f3b451a5fdb70c1e164b69d0eaaba94f472dc03262cd6afd99b0 |