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VideoCaptioner is an open source AI-powered subtitle processing tool designed to simplify the workflow of creating subtitles for videos. It integrates speech recognition, language processing, and translation technologies to automatically generate and refine subtitles from video or audio sources. VideoCaptioner uses speech-to-text engines such as Whisper variants to transcribe spoken content and convert it into subtitle text with accurate timestamps. After transcription, large language models are used to intelligently restructure subtitles into natural sentences, correct wording, and improve readability for viewers. It can also translate subtitles into other languages while preserving the original timing, making it suitable for multilingual video publishing and accessibility. In addition to generating subtitles, it supports editing, formatting, and embedding subtitles into videos as either hard or soft subtitles.
Features
- Automatic speech-to-text transcription using Whisper-based engines
- AI-assisted subtitle segmentation and natural sentence restructuring
- Subtitle correction and language optimization using large language models
- Subtitle translation into multiple languages with timeline preservation
- Support for exporting subtitles in formats such as SRT, ASS, VTT, and TXT
- Ability to embed hard or soft subtitles directly into video output
Project Samples
