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PaperDigest is an AI-powered research paper summarizer that distills complex scholarly articles into concise, digestible insights—leveraging the Gemini API for primary summarization with fallback support from Gensim and Sumy, and even estimates reading time for efficient consumption and added TTS feature for increased accessibility to the needy users.
Features
AI-Driven Summarization:
Uses the Gemini API as the primary engine for high-quality, context-aware summaries, and seamlessly falls back on Gensim and Sumy when needed to ensure consistent results.
Multiple Input Formats:
Supports both PDF uploads and web URL inputs, automatically extracting and processing text from a variety of sources.
Estimated Reading Time:
Calculates and displays an estimated reading time for the full paper, helping users quickly gauge their time investment.
Asynchronous Processing:
Implements background task management to handle long-running summarization tasks and high concurrency, ensuring a smooth user experience.
User-Friendly HTTP API & Web Interface:
Provides an intuitive API and simple web interface that make integration and usage effortless.
Download & Share Options:
Enables users to download the generated summaries and easily share them via email, social media, or other channels.
Extensible & Cost-Efficient Architecture:
Built with extendability in mind and optimized to run reliably on cost-effective server instances, balancing performance with resource constraints.
Added TTS(text-to-speech) for users with accessibility issues.
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