🚦🕵🏻♂️ Fact-Checker for Transcripts (On-Demand)
L
Lucho
1. Motivation
During meetings, participants frequently share data, statistics, market claims, history and technical information that may require verification. Currently, users must either web search during meetings or manually fact-check themselves the transcript afterward, creating delays, distractions and potential mistakes. Instead, users need a simple, on-demand way to verify specific meetings or transcripts only when it matters to them, avoiding unnecessary processing while enhancing decision-making quality and confidence.
2. Feature Request
Implement an on-demand
Fact-Checker
that generates lightweight verification reports for recorded meetings. This feature is intentionally not real-time or automatic: It runs only when the user explicitly selects the Fact-Checker option for a given meeting transcript. When activated, the system would:- Extract verifiable claims from transcripts (dates, statistics, historical facts, scientific statements)
- Cross-reference information against reliable public databases
- Produce a brief report highlighting supported, refuted, or conflicting claims
- Display confidence levels with source citations
The report should be concise and actionable, not exhaustive like academic fact-checking tools.
See attached example below
3. Implementation
Integrate a backend evidence-based verification system using free public data sources, for instance:
- World Factbook(github.com/factbook) for geographic and demographic data
- Semantic Scholar API(github.com/JackKuo666/semanticscholar-MCP-Server) for scientific claims
- ClaimAI framework(github.com/BharathxD/ClaimeAI) for claim extraction and verification architecture
The system would process transcripts post-recording, identify factual statements using NLP, query relevant databases, and generate a summary report showing verification status (Supported/Refuted/Conflicting) with percentage confidence and source links.
This feature would differentiate Hedy by providing professional users additional control for high-stakes meetings where accuracy and ethics matter, and helps avoid the spread of misinformation.