Scholarcy vs Meeting BaaS (formerly Spoke.ai)

Scholarcy turns academic papers, book chapters, and articles into interactive summary flashcards that highlight key findings, methods, and limitations. Upload a PDF, import from Zotero or Google Drive, or paste a YouTube link, and Scholarcy extracts structured takeaways you can read in minutes instead of skimming for an hour.

General summarizers compress text into paragraphs. Scholarcy builds flashcards designed for research screening, with Spotlight jumps to important sections, research quality indicators, study comparisons, and a Dig Deeper prompt feature for asking questions about the paper. That structure suits literature reviews more than a generic TL;DR.

Students, PhD researchers, and international learners use Scholarcy to screen papers, organize flashcards into collections, and export bibliographies to Word or reference managers. Browser extensions for Chrome, Edge, Firefox, and Safari let you summarize articles while browsing, and paid plans add unlimited summaries, literature matrix exports, and batch export of up to 100 flashcards.

Meeting BaaS sends bots into Zoom, Google Meet, and Microsoft Teams calls to record, transcribe, and summarize meetings through a developer API. You POST a meeting URL, the bot joins automatically, and your backend receives recordings, transcripts, speaker diarization, and metadata via webhooks.

Recall.ai and similar meeting-bot APIs charge enterprise rates with opaque pricing. Meeting BaaS starts free with 8 hours of recording and scales at $0.35 per hour on pay-as-you-go, with a Speaking Bots API that streams audio to your LLM in real time so the bot can respond during the call rather than only after it ends.

SaaS teams, sales intelligence platforms, and internal tooling groups use Meeting BaaS to build AI meeting assistants, automate post-call summaries, and analyze customer conversations at scale. The TypeScript SDK, MCP tools, and self-hosting option let you embed meeting capture without building bot infrastructure from scratch.