# TransWithAI/Faster-Whisper-TransWithAI-ChickenRice

Repository: https://github.com/TransWithAI/Faster-Whisper-TransWithAI-ChickenRice
Canonical: https://ross.abutalabs.com/products/faster-whisper-transwithai-chickenrice
Language: Python
License: MIT
License Family: permissive
Last push: 2026-07-05T03:47:58+00:00

## Health v2 (maintenance only)
Score: 77/100 (v2, computed 2026-09-02T17:46:02.011165+00:00)
- activity 91, release rhythm 92, longevity 21
- inputs: {"age_days": 294, "days_push": 59, "days_rel": 59, "gap_med": 5.5, "n_releases_24m": 11}
- flags: none
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 2196, forks 99 (observed 2026-08-28T04:06:25.131579+00:00)

## What it is
A high-performance audio/video transcription and translation application built on Faster Whisper, optimized for Japanese-to-Chinese translation using a custom CTranslate2 model and a voice-optimized VAD model. It supports NVIDIA CUDA and AMD ROCm/HIP GPUs, cloud inference via Modal, and outputs subtitles in SRT, VTT, and LRC formats.

## Use cases
- transcribe japanese audio to text
- translate japanese audio to chinese subtitles
- generate srt subtitles from video files
- batch transcribe asmr audio files
- run whisper transcription on amd gpu
- transcribe audio in the cloud without a local gpu

## When to choose
- you need Japanese-to-Chinese speech translation with a domain-tuned model
- you want GPU-accelerated batch transcription with subtitle output
- you work with ASMR/voice-heavy audio needing specialized VAD
- you lack a local GPU and want cloud inference via Modal

## When to avoid
- you need general multilingual transcription beyond Japanese/Chinese
- you need a lightweight CPU-only transcription tool
- you want a GUI application rather than script/bat-based workflows
- you need real-time streaming transcription

## Facets
- artifact type: application
- maturity: active
- function: speech-recognition, machine-learning, llm-inference, audio-processing, video-processing
- domain: speech-processing, media, artificial-intelligence
- platform: windows, python, cross-platform
- tags: faster-whisper, japanese-to-chinese-translation, subtitle-generation, vad, ctranslate2, gpu-acceleration, modal-cloud, srt, batch-transcription, natural-language-processing, localization, gpu

## Member repositories
- TransWithAI/Faster-Whisper-TransWithAI-ChickenRice (main) score 77

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:06:25.131579+00:00.
- Health v2: computed from the inputs above; adoption is never an input.
- Inferred fields (summary, facets, guidance): AI-extracted, prompt v1, taxonomy v1, on 2026-08-30T02:47:12.285469+00:00, confidence not recorded.
  - readme: https://github.com/TransWithAI/Faster-Whisper-TransWithAI-ChickenRice (fetched 2026-08-28T04:06:25.131579+00:00, sha 05d76056f566)
- Data as of 2026-08-30T08:39:29.467469+00:00.