Video to text converter

The tool converts video or audio into text using a HuggingFace ASR model. It accepts video or audio inputs, language codes, and a chosen model, returning a text transcript with optional time stamps in formats like SRT or VTT.
Conceptually, audio is extracted, chunked into manageable segments, and fed to a transfer-based transcription model. The model outputs token sequences which are aligned to timestamps, then punctuation and formatting are added as post-processing. Diarization or speaker labeling may be applied if requested, producing segmented transcripts with speaker tags.
This enables creators, researchers, and developers to generate accessible captions, searchable transcripts, and metadata for videos without manual transcription. It supports multiple languages and can export plain text or subtitle formats for distribution. Unique value lies in leveraging a HuggingFace pipeline to balance accuracy, privacy, and flexibility, plus options for batch processing and offline deployment. Core features include input validation, language handling, model selection, chunked processing, optional diarization, and output formatting. Use cases include captioning for streaming platforms, indexing interview footage for research, and generating multilingual transcripts for global audiences.