steipete/summarize
Summarize
Summarize is a command line tool and multimodal content extractor designed to generate concise summaries from web pages, documents, and media files. It functions as an orchestrator that connects developer tools to various language model providers to process and condense information.
The system provides specialized capabilities for audio and video processing, including transcription with speaker identification and the extraction of timestamped visual markers from video slides. It also includes a translation utility to convert generated summaries and extracted text into different target languages.
The project employs a provider-agnostic interface to standardize requests across local and cloud services. It manages content through a pipeline that converts URLs and multimedia files into a unified markdown representation for analysis.
Features
- Multimodal Summarizations - Generates concise summaries from a mix of web pages, documents, and audio or video files.
- LLM-Based Summarizations - Generates concise summaries from web pages, documents, and media files using large language models.
- Audio and Video File Transcription - Extracts speech from audio and video files to produce subtitles, plain text, and timestamp data.
- Audio Transcription - Converts spoken content from local files or URLs into text using local or cloud-based services.
- LLM Orchestrators - Functions as an orchestrator connecting developer command line tools to various local and cloud language model providers.
- Media Processing Pipelines - Sequences transcription, OCR, and diarization to transform raw multimedia files into clean text.
- Provider-Agnostic Model Interfaces - Standardizes API requests across different language model providers for seamless switching between local and cloud services.
- Full-Text Content Extraction - Retrieves clean text or markdown from URLs to prepare data for analysis or summarization.
- Multi-Format Content Extractors - Extracts content from URLs, PDFs, images, and videos to generate summaries using large language models.
- Web Content Scrapers - Uses specialized scrapers to convert various web formats and URLs into a unified markdown representation.
- CLI Prompt Piping - Enables piping the output of local developer tools directly into language model prompts for real-time processing.
- Local Model Integrations - Connects developer command line tools to private, locally-hosted language model services.
- Speaker Diarization - Detects different voices in audio files and assigns names to create formatted transcripts.
- Speech to Text Transcription - Converts spoken content from local files or URLs into processed text with speaker identification.
- CLI Workflow Integrations - Provides a command-line interface that integrates local language models directly into developer workflows.
- Visual Marker Extractions - Extracts screenshots and performs text recognition on video content to create timestamped visual markers.
