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https://github.com/BatuhanYilmaz26/Youtube-Transcriber

Input a YouTube video link and get a transcription as a .txt, .vtt or .srt file.
https://github.com/BatuhanYilmaz26/Youtube-Transcriber

automatic-speech-recognition huggingface openai python speech-recognition streamlit whisper

Last synced: about 2 months ago
JSON representation

Input a YouTube video link and get a transcription as a .txt, .vtt or .srt file.

Host: GitHub
URL: https://github.com/BatuhanYilmaz26/Youtube-Transcriber
Owner: BatuhanYilmaz26
Created: 2022-10-01T17:58:36.000Z (almost 2 years ago)
Default Branch: master
Last Pushed: 2022-10-15T14:30:29.000Z (almost 2 years ago)
Last Synced: 2023-03-06T13:22:58.653Z (over 1 year ago)
Topics: automatic-speech-recognition, huggingface, openai, python, speech-recognition, streamlit, whisper
Language: Python
Homepage: https://huggingface.co/spaces/BatuhanYilmaz/Youtube-Transcriber
Size: 4.42 MB
Stars: 3
Watchers: 1
Forks: 0
Open Issues: 0
Metadata Files:
- Readme: README.md

Awesome Lists containing this project

README

        ## Youtube-Transcriber

![Python](https://img.shields.io/badge/Python-FFD43B?style=for-the-badge&logo=python&logoColor=blue)

![Streamlit](https://img.shields.io/badge/Streamlit-FF4B4B?style=for-the-badge&logo=Streamlit&logoColor=white)

![OpenAI](https://camo.githubusercontent.com/ea872adb9aba9cf6b4e976262f6d4b83b97972d0d5a7abccfde68eb2ae55325f/68747470733a2f2f696d672e736869656c64732e696f2f7374617469632f76313f7374796c653d666f722d7468652d6261646765266d6573736167653d4f70656e414926636f6c6f723d343132393931266c6f676f3d4f70656e4149266c6f676f436f6c6f723d464646464646266c6162656c3d)

#### About this project

- This project is an automatic speech recognition application that takes a YouTube video link as input to generate a transcription of the video.

- Built functions to get the metadata of the video using [pytube](https://github.com/pytube/pytube) and displayed the video.

- Generated a transcription of the video using the [OpenAI Whisper](https://openai.com/blog/whisper) model.

- Built the web app using [Streamlit](https://streamlit.io) and hosted on [HuggingFace Spaces](https://huggingface.co/spaces).

- You can use the app via this [link](https://huggingface.co/spaces/BatuhanYilmaz/Youtube-Transcriber).

![](youtube_transcriber.gif)