AI Video Transcriber – an open-source AI video transcription and summarization tool

What is AI Video Transcriber？

AI Video Transcriber is an open-source video transcription and summarization tool that supports over 30 platforms, including YouTube and TikTok. The tool uses Faster-Whisper for high-precision speech-to-text conversion and leverages AI to optimize the text by correcting spelling, completing sentences, and intelligently segmenting content. It can also generate multilingual intelligent summaries. The tool is easy to use—simply input a video link, select the summary language, and start. AI Video Transcriber supports real-time progress tracking, is mobile-friendly, and is ideal for quickly obtaining textual versions of video content.

Key Features of AI Video Transcriber

Multi-platform video transcription: Supports YouTube, TikTok, Bilibili, and over 30 other platforms, converting spoken content in videos into text.
Intelligent text optimization: Uses AI to automatically correct spelling errors, complete sentences, and segment text, making transcripts readable and fluent.
Multilingual summary generation: Supports generating AI-based summaries in multiple languages, helping users quickly grasp the core content of videos.
Real-time progress tracking: Users can monitor each stage of the process, including video download, audio transcription, text optimization, and AI summary generation.
Conditional translation: If the selected summary language differs from the detected transcript language, the system automatically uses GPT-4o for translation.
Mobile-friendly: Clean and simple interface, easy to operate on smartphones and other mobile devices.
File download support: Users can download transcripts, translated texts, and summaries in Markdown format for easy saving and sharing.

Technical Principles of AI Video Transcriber

Video download: Uses the yt-dlp tool to download videos from supported platforms.
Audio extraction: Extracts the audio stream from downloaded videos to prepare for speech-to-text transcription.
Speech-to-text transcription: Uses the Faster-Whisper model, an optimized version of Whisper, to provide high-accuracy transcription of audio content.

Project Repository

GitHub: https://github.com/wendy7756/AI-Video-Transcriber

Application Scenarios of AI Video Transcriber

Content creators: Quickly convert video audio into text for material organization and international promotion of content.
Education: Teachers can transcribe educational videos for students’ review, while students can use multilingual summaries to learn expressions in different languages.
Corporate training: Companies can transcribe training videos into text for employees and generate multilingual summaries for global training programs.
Media & journalism: Journalists can rapidly transcribe interview videos to improve reporting efficiency, and media outlets can generate multilingual summaries for distribution across platforms.
Personal learning & research: Individuals can transcribe video content for study or research, or use multilingual summaries to enhance language skills.