01 / IMPLEMENTATION & CONTRIBUTION
What the work involves
Local changes extend wendy7756’s AI-Video-Transcriber with a Claude Agent SDK adapter, shared model configuration, CUDA float16 Faster-Whisper, and Bilibili retrieval handling.
Technical depth
Async model-client compatibility layer collecting streamed text; model configuration normalization; subtitle-first versus audio fallback pipeline; GPU speech recognition; platform extraction and smoke scripts.
The project family
video_transribe/AI-Video-Transcriber02 / RESULTS
What came out of it
The adaptation connects streamed model output and GPU speech recognition to an upstream subtitle-first workflow.
03 / SUPPORTING EVIDENCE
Follow the source
Implementation notes, project records, and supporting artifacts.
Source context & project scope
Upstream app authorship remains with its original contributors.
Model-list strings are implementation configuration, not independent confirmation of provider product availability.
No live platform extraction, model call or GPU benchmark was run.
Transcript/media temp files and credentials were not inspected.
Throughput and transcription accuracy have not been benchmarked.
Identifies upstream repository and original subtitle-first architecture.
SOURCE · 2026-09-17