byjlw/video-analyzer
Video Analyzer
Video analyzer is a toolkit that processes video files through computer vision and automatic speech recognition to produce structured JSON data and natural language summaries. The system extracts visual frames, samples key moments based on pixel differences, and transcribes soundtrack audio into written text to generate comprehensive descriptions across chronological timelines.
The software coordinates sequential processing stages that combine frame-by-frame visual analysis with audio transcripts using local or cloud AI models. It supports adaptive and uniform frame sampling, hardware-accelerated compute offloading for heavy workloads, and checkpoint-based state resumption to restart or resume pipeline execution from specific phases. Users can customize analysis instructions and model identifiers, target specific language codes for speech recognition, and automatically refine prompts using example outputs.
Additional capabilities include hierarchical configuration cascading from command-line arguments and local files, temporary session management with automatic cleanup, and real-time terminal progress streaming during background execution. Processed outputs, including transcripts, extracted image frames, and structured JSON summaries, can be saved to local storage.
Features
- Video Pipeline Coordinators - Coordinates sequential processing of audio transcription, visual frame extraction, and language model synthesis to generate comprehensive video summaries.
- Video Summarizers - Combines frame-by-frame visual analysis and audio transcripts into a comprehensive natural language description of the video content.
- Video Content Querying - Extracts key frames and transcribes audio to generate descriptive textual summaries using AI models.
- General Audio Transcribers - Converts spoken dialogue and soundtrack audio into written transcripts using automatic speech recognition models.
- Video Content Analyzers - Uploads video files through an interface to generate descriptive summaries using computer vision and speech recognition models.
- Representative Frame Sampling - Selects representative still images from video inputs using pixel difference calculations to isolate important visual moments.
- Speech Transcription - Converts spoken dialogue and soundtrack audio into written transcripts using automatic speech recognition.
- Frame-Level Video Analyzers - Processes extracted video frames through vision language models to generate detailed descriptions of on-screen actions and objects.
- Visual Content Analyzers - Passes extracted video frames through vision language models to generate detailed descriptions of visual content across timelines.
- Vision API Clients - Connects with local and remote vision models using standardized API formats to analyze extracted image content accurately.
- Vision-Language Model Analyses - Passes extracted video frames through vision language models to generate detailed descriptions across timelines.
- Video Frame Extraction - Captures representative still images from video footage at intelligent intervals to isolate important visual moments.
- Frame Sampling Strategies - Samples representative video frames adaptively by calculating pixel differences to isolate important visual moments.
- Audio and Video Summarizers - Synthesizes chronological frame analyses and audio transcripts into complete natural language video descriptions.
- Automatic Speech Recognition - Provides an audio processing utility that converts spoken dialogue into written transcripts.
- Video Analysis Tools - Processes video files through computer vision and speech recognition to produce structured JSON and summaries.
- Analysis Result Exporters - Saves complete analysis results and transcripts into structured JSON output files.
- LLM-Orchestrated Video Pipelines - Executes an automated pipeline for extracting key frames and transcribing audio using vision and speech models.
- Audio Processing - Transcribes spoken content by targeting a chosen language code for more accurate speech recognition.
- Chained Vision Processors - Extracts visual frames and samples key moments to analyze on-screen actions using computer vision.
- Staged Execution Pipelines - Resumes or restarts processing from specific pipeline phases such as frame extraction, analysis, or final reconstruction.
- Hardware Acceleration - Directs heavy computer vision and speech recognition workloads to available graphics hardware to speed up execution times.
- Checkpoint-Based Resumptions - Saves intermediate processing artifacts to disk to allow pipeline execution to resume from specific phases without losing progress.
Star history
How this analysis was created: This summary and feature list are AI-generated from collected project material and can contain mistakes. Stars, license and language are imported from GitHub. Inclusion does not mean that we have tested or audited this project. Check the source documentation for any feature you depend on. Learn more on our About page.
