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🔉 Youtube Videos Transcription with OpenAI's Whisper
| Date | Stars |
|---|---|
| 2026-07-24 | 421 |
| 2026-07-25 | 421 |
| 2026-07-28 | 421 |
| 2026-07-30 | 421 |
| 2026-08-06 | 421 |
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# **Youtube Videos Transcription with OpenAI's Whisper**
[](https://openai.com/blog/whisper)
[](https://colab.research.google.com/github/ArthurFDLR/whisper-youtube/blob/main/whisper_youtube.ipynb)
[](https://github.com/openai/whisper)
[](https://cdn.openai.com/papers/whisper.pdf)
[](https://github.com/openai/whisper/blob/main/model-card.md)
Whisper is a general-purpose speech recognition model. It is trained on a large dataset of diverse audio and is also a multi-task model that can perform multilingual speech recognition as well as speech translation and language identification.
This notebook will guide you through the transcription of a Youtube video using Whisper. You'll be able to explore most inference parameters or use the Notebook as-is to store the transcript and the audio of the video in your Google Drive.
# **Check GPU type** 🕵️
The type of GPU you get assigned in your Colab session defined the speed at which the video will be transcribed.
The higher the number of floating point operations per second (FLOPS), the faster the transcription.
But even the least powerful GPU available in Colab is able to run any Whisper model.
Make sure you've selected `GPU` as hardware accelerator for the Notebook (Runtime → Change runtime type → Hardware accelerator).
| GPU | GPU RAM | FP32 teraFLOPS | Availability |
|:------:|:----------:|:--------------:|:------------------:|
| T4 | 16 GB | 8.1 | Free |
| P100 | 16 GB | 10.6 | Colab Pro |
| V100 | 16 GB | 15.7 | Colab Pro (Rare) |
---
**Factory reset your Notebook's runtime if you want to get assigned a new GPU.**
```
GPU 0: Tesla T4 (UUID: GPU-9ba4ce04-e020-44f9-8fc3-337ba5bb5496)
Sun Oct 2 16:49:51 2022
+-----------------------------------------------------------------------------+
| NVIDIA-SMI 460.32.03 Driver Version: 460.32.03 CUDA Version: 11.2 |
|-------------------------------+----------------------+----------------------+
| GPU Name Persistence-M| Bus-Id Disp.A | Volatile Uncorr. ECC |
| Fan Temp Perf Pwr:Usage/Cap| Memory-Usage | GPU-Util Compute M. |
| | | MIG M. |
|===============================+======================+======================|
| 0 Tesla T4 Off | 00000000:00:04.0 Off | 0 |
| N/A 36C P8 9W / 70W | 0MiB / 15109MiB | 0% Default |
| | | N/A |
+-------------------------------+----------------------+----------------------+
+-----------------------------------------------------------------------------+
| Processes: |
| GPU GI CI PID Type Process name GPU Memory |
| ID ID Excerpt of 13,179 characters
Read on GitHubWould you bet a product on this? Bounded 0–100 and slow moving.
matched fp:eaab5f076761ee8c, topic:speech-recognition, topic:whisper, topic:speech-to-text