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Alter for Meetings

Alter for Meetings

Turn meetings into clear actionionables without a bot

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126 Upvotes

About

Alter is a meeting assistant designed for Mac users, capable of accurately identifying and labeling multiple speakers in meetings, with optimal accuracy for 2-8 participants. It integrates seamlessly with popular productivity tools like Notion, Slack, and Linear, allowing users to pull agendas from calendars and push summaries and action items to CRM or project management systems. Transcripts, which include speaker labels and timestamps, can be exported in plain text and serve as context for the Alter AI assistant to generate summaries or other documents. While original recordings remain on the Mac, transcripts and insights can be shared in standard formats. Alter offers both free (basic local models for shorter meetings up to 20-30 minutes) and paid plans, which provide access to optimized Parakeet V3 and Whisper Pro models, 50+ AI models, enhanced processing, and priority support. It supports completely offline recording and local processing with the Parakeet V3 model, with an internet connection only required for cloud processing or certain AI analysis features. Audio recordings are efficiently compressed, with a 1-hour meeting typically using around 10 MB. Alter is compatible with any audio input device recognized by Mac and includes automatic backup systems to prevent data loss.


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Design Review

The provided content is a text-based FAQ and product description, not a visual representation of the landing page. Consequently, it is impossible to extract specific design elements such as colors (hex codes, names, usage percentages) or font families and their usage contexts directly from the source material. The 'colors' and 'fonts' fields are therefore returned as empty arrays. Similarly, the overall 'theme' (Light/Dark) cannot be determined from the text alone; it has been set to 'Light' as a placeholder to comply with the schema, but this is an assumption without textual evidence. The 'design_tags' are inferred based on the product's functionality and target audience (Mac users, productivity, efficiency), suggesting a focus on a functional, modern, and clean interface. A detailed review of design aesthetics and usability is not possible without visual access to the actual landing page.

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