Kagi Summarize vs SciSummary

Kagi Summarize creates summaries of web pages, videos and podcasts when a transcript is available. It accepts URLs for web pages, PDFs, PPTX files, MP3s and videos. Output choices include headlines, brief summaries, digests, medium or long summaries, bullet points and ELI5; users can also translate a summary with Kagi Translate. Kagi lists Cecil as consumer-grade, Agnes as consumer-grade and Muriel as enterprise-grade; Agnes and Muriel are available through the browser extension or API. Summarize is accessible in Kagi search results, through the!sum Bang, in Orion on Apple devices, and in Chrome and Firefox extensions. The API supports text pages, PDFs, PPTX and DOCX files, MP3/WAV audio, experimental YouTube URLs, and scanned PDFs or images using OCR. API requests are limited to 1 MB and require a Kagi account and API credits. A trial includes 100 searches and 100 AI interactions with standard models. Starter costs $5 per month plus tax; there is no free plan.

SciSummary uses AI to help scientists, researchers, and students understand scientific papers through summaries, analysis, and extracted insights. Summaries are organized into abstract, methods, results, and conclusion sections. It can combine multiple papers into one summary and compare them, while folders and tags organize a research library. Figure chat interprets p-values, confidence intervals, and effect sizes. The service extracts abstracts, figures, and references and highlights key findings. Its web and API access includes a bulk API accepting PDFs, links, or full text, with hundreds of documents supported in one request. A REST API includes an official CLI and generated SDK clients from its OpenAPI specification. An MCP server connects with Claude Desktop and ChatGPT. SciSummary also summarizes webpages and accepts file uploads. Pricing is paid, starting at $4/mo (annual), with a 7-day trial and no standard free plan.