YouTube Summary with ChatGPT

Extracts captions and transcripts from YouTube videos via server-side backend service, then sends the full transcript text to user-selected AI models (ChatGPT, Claude, Mistral, or Gemini) for abstractive summarization. The extension captures the video ID from the current page context, retrieves available transcripts (when captions are enabled), and routes the content through Glasp's backend proxy rather than direct API calls, enabling multi-model support without requiring users to manage multiple API keys.

Extracts readable text content from web pages using DOM parsing and content extraction algorithms, then sends the full article text to selected AI models for summarization. The extension operates within the browser sandbox to capture article content without requiring page modification, and routes the extracted text through Glasp's backend service for AI processing, supporting multi-language output independent of source language.

The extension offers in-app purchases, indicating a freemium model where basic summarization features are available for free and premium features (likely higher API quotas, advanced models, or additional content types) require payment. The extension listing explicitly mentions in-app purchases but does not detail which features are behind the paywall, suggesting a tiered access model managed through Glasp's backend.

Processes PDF files opened in the browser by extracting text content from the PDF document, then sends the extracted text to selected AI models for summarization. The extension accesses PDFs loaded in the browser context (via file:// or http:// URLs) and applies the same multi-model routing through Glasp's backend service, supporting customizable summary length and output language.

Provides a user-facing model selector in the extension UI that allows switching between ChatGPT (OpenAI), Claude (Anthropic), Mistral AI, and Google Gemini. The extension stores the user's model preference and routes all summarization requests through Glasp's backend API gateway, which handles authentication and API calls to the selected provider, abstracting away API key management and provider-specific request formatting.

Allows users to define custom prompts that override the default summarization instructions sent to AI models. Users can specify how they want content summarized (e.g., 'focus on actionable insights', 'extract technical details only', 'summarize in bullet points'), and the extension includes the custom prompt in the request to the selected AI model via Glasp's backend service. This enables prompt engineering without requiring direct API access.

Extracts timestamps from YouTube video transcripts and generates clickable links that jump to specific segments in the video player. When a user clicks a timestamp in the summary or transcript view, the extension sends a command to the YouTube video player to seek to that position, enabling rapid navigation to relevant sections without manual scrubbing. This integrates with YouTube's native player API via content script injection.

Supports summarization and output in multiple languages independent of the source content language. The extension can generate transcripts in languages other than the video's original language (if YouTube provides multi-language captions) and can produce summaries in any language supported by the selected AI model. Language selection is configurable per request, allowing users to summarize English content and receive output in Spanish, Chinese, or other languages.

Provides user controls to adjust the length and detail level of generated summaries, allowing users to request brief overviews (e.g., 2-3 sentences) or detailed summaries (e.g., multiple paragraphs). The extension includes these preferences in the prompt sent to the AI model via Glasp's backend, enabling the model to tailor output length without requiring separate API calls or manual post-processing.

The extension is developed by Glasp Inc. and integrates with Glasp's web highlighter and annotation platform, allowing users to save summaries alongside highlighted passages and notes. Users can export summaries to Glasp's knowledge management system, creating a unified research workflow where video/article summaries are stored alongside manual highlights and annotations for later reference and synthesis.

Glasp operates a backend API gateway that handles authentication and routing to multiple AI providers (OpenAI, Anthropic, Mistral, Google). Users do not manage individual API keys; instead, Glasp's backend authenticates with each provider using server-side credentials and routes requests based on user model selection. This architecture abstracts provider-specific API formats, authentication methods, and error handling, presenting a unified interface to the extension.