tldw (Too Long; Didn’t Watch!) is a free open-source tool that converts lengthy YouTube videos into concise summaries using OpenAI’s API. It processes any video URL through AI analysis, extracting key points in under 10 seconds.
The tool serves two audiences. Technical users access its Docker-based infrastructure to create custom summary applications, while casual visitors use the hosted version for instant results.
Case Studies
To truly understand the power of tldw, I put it to the test myself. I wanted to see how quickly and accurately it could summarize a lengthy YouTube video. My subject was a video titled “New 2024 BMW X3 xDrive30i Review / 21″ M Wheels / M Sport Package / BMW Test Drive Review with Trish,” which clocked in at 18 minutes and 48 seconds. As someone who often needs to quickly grasp the content of longer videos, this felt like a perfect test case.
I began by simply copying the YouTube URL and pasting it into tldw‘s online interface. From there, I clicked the “Send” button, and the results appeared in mere seconds. The tool provided two distinct outputs: a short video description and a comprehensive summary.
The short description, “Performance appeal. (BMW X3 (G01)),” immediately gave me a high-level overview of the video’s focus. It also correctly identified the specific car model. Below that, there’s a concise paragraph that correctly concludes the main selling point of this video:
“The 2024 BMW X3 xDrive30i, with its compelling blend of performance, design, and practicality, stands out as an excellent value choice for families and driving enthusiasts alike.”
Stepping further into the results, the full summary was even more impressive. It accurately identified the reviewer (Scott Smith) and captured his enthusiasm for the vehicle. Key details, such as the car’s engine (2.0L four-cylinder turbo), horsepower (248), and interior features, were all present. The summary even noted the reviewer’s recommendation to test drive the X3 and his mention of the X5 as a larger alternative.
This personal experience highlighted several key benefits of tldw. First, the speed is remarkable. Instead of spending almost 20 minutes watching the video, I had a detailed summary in a fraction of the time. Second, the accuracy was excellent. All the crucial information was captured, allowing me to quickly understand the video’s content without watching it myself. Finally, the clear and concise output format – with both a brief overview and a detailed summary – provided options for different levels of information needs. For anyone facing a deluge of video content, tldw offers a streamlined solution to extract key information efficiently.
Features
- Fast Summarization: Get summaries of YouTube videos in just seconds.
- AI-Powered: Uses the OpenAI API for accurate and relevant summaries.
- Open Source: The code is freely available, allowing for modifications and custom deployments.
- Online Version: A hosted version is ready for use without any setup.
- Developer-Friendly: Easily integrate
tldwinto your own applications.
Use Cases
- Content Research. Developers building content aggregation platforms can integrate TLDW to automatically generate video summaries. This enables efficient content indexing and improves search functionality across video libraries.
- Educational Tools. Educational platforms can use TLDW to create quick study materials from video lectures. Students access key points without watching entire lectures, while educators track content comprehension.
- Documentation Generation. Technical teams can summarize tutorial videos into written documentation. This helps maintain up-to-date reference materials and improves knowledge sharing across teams.
How to use it
- Go to the tldw official website.
- Paste the URL of the YouTube video you want to summarize.
- Click the “Send” button and get the AI-generated summary.
Installation
Running tldw locally is the preferred method to avoid rate limits associated with the hosted version. The hosted option depends on a residential proxy and the OpenAI API.
Prerequisites:
- Docker and Docker Compose
- An OpenAI API key
- tldw GitHub Repo
Steps:
- Obtain your OpenAI API key from the OpenAI developer platform.
- Create a
.envfile in the project’s root directory. - Add your OpenAI API key to the
.envfile:OPENAI_API_KEY=sk-proj-xxxxxx... - (Optional, but recommended for production) Add a proxy URL:
PROXY_URL=https://user:[email protected]:8888. - Run the command
docker-compose up -dto start the application.
Local Development Setup:
- Create a
.envfile. - Set up a Python virtual environment:
python3 -m virtualenv venv ; source venv/bin/activate. - Install dependencies:
pip install -r requirements.txt. - Start the backend:
python backend.py &. - (If necessary) Modify the backend URL in
App.tsx. - Navigate to the frontend directory:
cd youtube-summarizer. - Install frontend dependencies:
yarn install. - Start the frontend:
yarn dev.
FAQs
Q: What costs are associated with using TLDW?
A: Users need an OpenAI API key and pay only for API usage. Local deployment has no additional costs beyond API charges.
Q: Can TLDW handle non-English videos?
A: The tool processes videos in multiple languages through OpenAI’s multilingual capabilities.
Q: What is the maximum video length supported?
A: TLDW handles videos of any length, though longer videos may incur higher API costs.
Q: How accurate are the summaries?
A: The accuracy depends on the OpenAI model used. Generally, the summaries are quite good at capturing the main points of a video.
Q: Can I customize the length of the summary?
A: The default output provides a concise description, along with a full-length summary. The level of detail available depends on the OpenAI API. Further customization might be possible through code modifications.
Q: What if I get an error when trying to summarize a video?
A: If you’re using the hosted version, it could be due to rate limits. Running tldw locally is the best way to avoid this. Also, double-check that the YouTube video URL is valid.
