thc1006/whisper-colab-tpu-transcriber

High-performance Google Colab Notebook for fast & accurate audio transcription/translation using OpenAI Whisper. Accelerated on TPUs with PyTorch/XLA. Features an interactive UI for model selection, multi-language support, and long-form audio processing.

36
/ 100
Emerging

Quickly and accurately convert spoken audio into written text or translate it into English. You upload your audio files, select the desired language and output format, and receive text files with the transcription or translation. This is ideal for anyone who needs to process large amounts of audio content, such as researchers, journalists, content creators, or students.

No commits in the last 6 months.

Use this if you need fast, accurate transcriptions or translations of audio files and have access to Google Colab, especially for long recordings or when specific language options are needed.

Not ideal if you prioritize GPU acceleration over TPU, as the project notes GPUs (with 'faster-whisper') may offer better performance.

audio-transcription speech-to-text audio-translation content-analysis research-documentation
Stale 6m No Package No Dependents
Maintenance 2 / 25
Adoption 5 / 25
Maturity 15 / 25
Community 14 / 25

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Stars

14

Forks

3

Language

Jupyter Notebook

License

MIT

Last pushed

Jun 08, 2025

Commits (30d)

0

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