Rewind AI

Rewind is an innovative search engine specifically designed for personal use, enabling users to effortlessly locate information from their past digital interactions. It’s particularly beneficial for remote workers, researchers, and …

Rewind AI Screenshot

About Rewind AI

Rewind is an innovative search engine specifically designed for personal use, enabling users to effortlessly locate information from their past digital interactions. It’s particularly beneficial for remote workers, researchers, and students who need to track and revisit past meetings, conversations, and browsing sessions. Rewind’s standout feature is its local storage capability, ensuring that all recordings and data are stored securely on your Mac, prioritizing user privacy. It employs Optical Character Recognition technology to analyze everything displayed on your screen, utilizing native macOS APIs for seamless integration. The automatic meeting recording feature is a significant advantage, allowing for easy searchability of past meetings without overburdening your CPU. Users also have the option to exclude specific apps and private browsing from Rewind’s search scope, adding an extra layer of privacy control. Furthermore, Rewind is fully compatible with Apple’s M1 and M2 Silicon SOCs, ensuring optimized performance for the latest hardware.

Use Cases

Use Case 1: Meeting Detail Recovery

Problem: Remote workers often struggle to recall specific action items or statistics discussed in past video calls without manual note-taking.
Solution: Rewind records and indexes meetings, allowing users to search for keywords mentioned during the session to jump to the exact moment.
Example: A project manager searches for 'budget' to find a specific financial figure mentioned in a call three weeks ago.

Use Case 2: Research History Retrieval

Problem: Researchers and students frequently lose track of specific sources or quotes found during extensive browsing sessions.
Solution: The tool uses Optical Character Recognition (OCR) to index everything seen on screen, making all visual text searchable.
Example: A researcher finds a specific academic snippet they saw on a website days ago by searching for a unique phrase from the text.

Use Case 3: Performance Review Preparation

Problem: Professionals find it difficult to summarize their monthly contributions and interactions for performance appraisals.
Solution: Users can revisit their entire digital history to identify key milestones, completed tasks, and successful collaborations.
Example: An employee reviews past Slack conversations and emails to list all successful client interventions for their annual review.

Key Features

  • Personalized digital interaction search
  • Secure local Mac storage
  • Advanced Optical Character Recognition
  • Automatic meeting and conversation recording
  • Comprehensive browsing history indexing
  • Privacy-focused data management
  • Real-time past event retrieval

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