Great AI Tool for Sumarizing videos and Extracting Learnings

Introduction

Hey everyone, Jonas here from The Automator, and we've got an exciting new tool to discuss. While this tool isn't ready to share just yet, I wanted to demonstrate its potential and gather some feedback on how others might use it. This tool is versatile and offers numerous applications.

Background

A while back, I was having a chat with my friend Mike, who works in market research. He wondered if we could use AutoHotkey in conjunction with OBS to record messages, transcribe them, and generate summaries. While I knew we could probably achieve this with some effort, I opted for a different approach to simplify the process. Instead of using the base model to record audio, we turned to FFMPEG, a powerful audio and video processing tool.

Approach

Initially, I asked Claude to create a script for recording audio using FFMPEG. There were challenges, such as stopping the recording, but we managed to overcome these. Then, leveraging an API class we had been developing for ChatGPT, we utilized Whisper to transcribe audio files. Whisper, previously a separate tool, can now transcribe MP3 files when submitted via the API.

Key Features

Holding to Speak

Our first implementation allowed users to hold down a key, speak, and then release it to send an MP3 file to ChatGPT for transcription. This process was efficient and quick.

Handling Videos

Understanding that many users, like Mike, often have pre-recorded videos, we developed a tool that easily processes these videos. By using FFMPEG, we extract the audio from a video file, significantly reducing the file size.

For instance, a 30MB MP4 file might be reduced to only 5MB audio. Further file compression techniques like converting to mono or using other formats like Opus can further reduce the size.

Limitations and Solutions

Uploading large files to ChatGPT has limitations. For instance, ChatGPT's interface rejects files larger than 20MB. By converting the video to audio, we bypass this limitation. Our tool also benefits from being offline, which certain functionalities of ChatGPT cannot achieve.

Practical Demonstration

Our tool accepts both audio and video files. Upon loading a file, the tool converts the media to audio and sends it to Whisper for transcription. Following transcription, ChatGPT summarizes the content and provides bullet points.

The tool features a visual interface displaying the video and its transcription. Users can click on timestamps within the transcription to jump to specific parts of the video, making navigation easier.

Additional Functionalities

• Search Feature: Users can filter the transcription for specific keywords.
• Quick Trimming: The tool enables quick video editing by selecting start and end points.
• Speaker Identification: Future developments might include identifying and labeling speakers within a video.
• Custom Dictionary: Users can override common transcription errors by substituting recurring mistakes with correct terms.

Possible Future Enhancements

Other potential features include translating transcriptions into different languages and integrating additional AI tools to enhance summary accuracy. We also plan on enabling database searches across multiple transcribed videos.

Conclusion

With this tool, users no longer need to watch long videos to extract critical information. The summarization and keyword search functionalities significantly simplify video analysis. Whether for market research, academic purposes, or business meetings, this tool could save a substantial amount of time and effort.

Keywords

• AI Tool
• Summarizing Videos
• Transcription
• AutoHotkey
• FFMPEG
• ChatGPT
• Whisper
• Market Research
• Video Editing
• Audio Processing

FAQ

1. What is the primary purpose of this tool?

The tool is designed to transcribe and summarize audio and video files efficiently, helping users quickly extract and review critical information.

2. What technologies are used in this tool?

The tool leverages AutoHotkey for automation, FFMPEG for audio and video processing, and ChatGPT's Whisper API for transcription.

3. Can this tool handle large video files?

Yes, the tool converts large video files into smaller audio files to overcome upload limitations and then processes those for transcription.

4. How accurate are the transcriptions and summaries?

While the transcriptions are generally accurate, the summaries can sometimes contain errors. Users can customize prompts and use a dictionary for better accuracy.

5. Can the tool identify and label different speakers in a video?

This feature is under consideration and may be included in future updates.

6. Is this tool available for public use?

As of now, the tool is not available for public use but is being demonstrated for feedback and potential improvements.

7. Can the tool support languages other than English?

The current version is in English, but future iterations may include translation features for other languages.

8. How long does it take to process a video?

Processing time depends on the file size and length, but typically takes a few minutes to transcribe and summarize a standard video.

9. Is there a cost associated with using ChatGPT's Whisper API?

Yes, there is a low cost associated with using the Whisper API for transcription services.

10. What file formats are supported by the tool?

The tool accepts standard audio and video files, including MP3, MP4, and more.

Hope this helps provide a comprehensive overview of the tool and its potential applications. If you have more ideas or suggestions, please feel free to share!