Feature Requests

Option to automatically end session based on key words recognised like "thank you all" or " that's all" or "end the session". It can even be session automatically ends when there is silence for some duration of time or when there is no relevant inputs coming

It would be great if Hedy could automatically detect a Zoom or Teams meeting in progress and start recording, as well as stop recording.

It would be nice to highlight terms and words in the transcript text using a search function. Some of the sessions I’m using are very long, and I’m trying to find context for some of the things being said.

I'm using Hedy extensively for university lectures and meetings. I’ve just bought an Asus Vivobook notebook with an AMD Ryzen AI 9 HX 370 processor featuring the new XDNA 2-based NPU. When I start a recording on the notebook, a message appears saying that, due to insufficient GPU memory, the CPU will have to be used instead, with lower performance. So I’m wondering whether it’s possible to take full advantage of these new chips.

It would be great to be able to archive old topics, to clean the list but without losing the history.

It would be nice to let us write our own meeting notes, which are then taken into account when writing the detailed summary. Often the notes we take have importance and shouldtl therefore be taken into account, and enhanced.

Ability to detect files dropped into Google Drive (Input folder) for processing and deliver processed document to a Google drive (output folder). This will allow the build of knowledge base for research, and or build chatbots.

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 statements after meetings, creating delays, distractions and potential mistakes. A built-in fact-checking feature would enable immediate verification of transcripts, enhancing decision-making quality and meeting credibility. 2. Feature Request Implement a Fact-Checker Button that generates lightweight verification reports for recorded meetings. 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: CIA 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 as a professional tool for high-stakes meetings where accuracy and ethics matters, avoiding misinformation.

Ability to upload text or audio or video files (several hundred at a time).

Mind Map summaries, either automatically generated with the other summaries, or generated upon click. The option to generate summaries about particular parts on the Mind Map upon clicking on it. See Google's NotebookLM for an example implementation.