Overview
- Turn any spoken word into accurate text instantly across all macOS apps, using a GPU-accelerated dictation engine that types exactly where your cursor is.
- Auto-generate meeting summaries and action items from one-click recordings, so you never miss a task or key takeaway again.
- Store every meeting, note, and dictation as a searchable page in a unified wiki tree, making past knowledge retrievable with a single keyword search.
- Create Notion-style wiki pages with custom icons and cover images, then navigate your entire knowledge base using emoji search.
- Run all transcription and AI processing locally with a GPU-accelerated engine, ensuring fast, private dictation without cloud dependency.
- Share meeting transcripts, summaries, and action items directly with your team, keeping remote collaborators aligned without extra effort.
Pros & Cons
Pros
- Unique floating recorder
- Accurate text conversion
- Identifies action items
- Smooth voice typing
- GPU-accelerated dictation
- Indexed wiki tree
- Search function
- Creates Notion-style pages
- Emojis and icons support
- Integrated workspace for macOS
- LLM technology use
- Meeting recording and transcription
- Data organization in wiki
- In-app automatic dictation
- Recorded audio to text conversion
- Quick access to past meetings
- Highly efficient data organization
- Versatile data access tool
- Pages with cover images
- Desktop-wide dictation tool
- Synchronized data capture
- Action items tagging in dictation
- Translated language dictation support
- Menubar mini-bar for easy access
- LLM post-processing
- Document-style editor
- Folders with flexible organizational structure
- Comprehensive search function
- Documented conversations as intelligent Knowledge Base
- Cross-Meeting Insights and Meeting Graph
- Cloud sharing and instant sharing
- Action Items Sync team-wide
- Customizable engines for speech-to-text
- Customizable engines for post-processing
- GPU-accelerated local engines
- Real-time translation in dictation
- Visual meeting recordings
- Accessible from any mac application
- Live transcript on meetings
- Editable meeting Templates
- Voice-to-text in any app
- Live translation in dictation
- Multi-model support for transcription
- Streamlined user experience
- Easy document search
- Neural Automatic Echo Cancellation
Cons
- MacOS only
- No explicit cloud functionality
- No multi-platform syncing
- Not mobile friendly
- Limited text formatting options
- No collaborative features
- No API mentioned
- Closed source
- Dependency on local GPU
- No clear data security measures
Reviews
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❓ Frequently Asked Questions
Hyprcore is a native macOS workspace that consolidates an AI wiki, a meeting recorder, and global dictation. It's a bridge between notes, calls, and dictations, allowing everything to live as pages in one searchable tree. It's powered by LLM and can be queried in natural language.
Hyprcore differentiates itself from other AI tools by accomplishing three key functions - it acts as an AI wiki, meeting recorder, and dictation tool. Unlike other tools that specialize in one feature, Hyprcore combines all three aspects into one native macOS workspace, where every dictation, note, and meeting exists as a page within a universally searchable tree.
Hyprcore's dictation feature employs the application of AI technology to transcribe spoken words into text in real time. It simply requires a user to press a shortcut, speak naturally, and their words will appear as text in any app. It uses a GPU-accelerated system with seven local engines for high-speed and accurate transcription.
The meeting recording feature in Hyprcore allows one-click recording of content during meetings. It utilizes AI to generate transcripts of the recorded audio, as well as summaries and action items, which are automatic and editable. These transcripts, summaries, and action items are then saved as a markdown document, creating a comprehensive record of the meeting.
Hyprcore's floating recorder is a unique feature that enables efficient meeting recording and note capturing. It functions in a versatile manner across apps, providing a real-time transcript, meeting notes, quick answers and it automatically saves the meeting as a wiki page upon termination.
Yes, with Hyprcore, voice typing is accessible across all macOS applications. By using the GPU-accelerated dictation feature of Hyprcore, users can enjoy a smooth and swift voice typing experience irrespective of the application they are using.
Hyprcore applies AI technology to identify action items during the transcription of a meeting. It converts audio into accurate text and while generating summaries it simultaneously identifies and highlights action items, organizing key takeaways and tasks from a meeting.
Hyprcore's use of GPU (Graphical Processing Unit) accelerates the voice typing across all applications. By harnessing the power of hardware acceleration, this allows for quicker and more efficient transcription of speech to text.
'Meeting stuff' indexed within a 'wiki tree' refers to the organization of all information from meetings, notes, and dictations within an accessible and searchable wiki tree structure. Each word spoken during meetings is captured and indexed, facilitating efficient retrieval and navigation through the stored information.
With Hyprcore, past meetings' notes can be accessed swiftly with the search function. The wiki tree structure allows all pages, notes and dictations to be categorised and indexed, enabling users to navigate past meetings effectively and find the information they need with minimal delay.
Yes, with Hyprcore, you can create Notion-style pages, complete with custom icons and cover images. Users can create expressive, personalized pages and notes tailored to their specific needs.
Hyprcore's emoji palette is an expressive feature enabling users to customize and navigate their wiki pages. It's an aesthetic and functional tool allowing users to assort their notes and pages with a range of emojis and to search across all pages in their wiki tree using these emojis.
Yes, every meeting, note, and dictation are designed to live as a unique page within Hyprcore's platform. Regardless of the type (meeting or dictation), every piece of spoken or written information is captured and stored in this structured format.
Yes, Hyprcore is designed to ensure no loss of information from meetings. With its competent recording facility and transcribing capabilities, every word spoken gets captured and converted into accurate text, ensuring invaluable information doesn't get lost in translation.
Knowledge is made easily accessible and searchable on Hyprcore through its wiki tree structure. Every note, meeting, and dictation are indexed within this wiki, allowing users to easily retrieve and search past meetings, making the accumulated knowledge a few clicks away.
Yes, Hyprcore is designed to work exclusively on macOS. It acts as a versatile platform native to macOS workspace.
In Hyprcore, workspace management is accomplished by utilizing a unified platform where all spoken and written inputs are captured and catalogued. Every meeting, note, and dictation are turned into a page within a wiki tree, which serves as the workspace where all information is stored, accessible, and searchable.
The search function in Hyprcore offers a quick and efficient way to find specific information. Users can navigate to the desired data point by typing the keyword(s) into the search bar, making every note, meeting, and dictation easily retrievable.
In the context of Hyprcore, 'information indexing' implies the systematic arrangement of all data from meetings, notes, and dictations within a wiki tree. This methodology enables easier access and searchability of data based on relevant keywords or phrases.
Yes, Hyprcore allows the generation of meeting summaries automatically. It utilizes AI to convert audio into accurate text and creates brief synopses of the recorded meetings. It further identifies action items that give users a clear overview of major talking points and tasks identified in the meetings.
Hyprcore offers a vast range of features that include AI-powered Wiki, Meeting Recorder, Global Dictation Component, automatic dictation, GPU-accelerated Engine, Local Support For Seamless Dictation, Meeting Transcription, Data Organization, and Searchable Database. These all come together to create an efficient AI Workspace Tool that serves as a Personal Workspace Tool. It also specializes in Text Documentation, Remote Team Collaboration, and offers an Integrated Environment.
Hyprcore's AI dictation feature works by employing the GPU-accelerated engine that captures your spoken words and transforms them into text within the app your cursor resides in. It's a quick and smooth process designed to make voice typing across various applications seamless.
Absolutely, one of Hyprcore's main features is its ability to efficiently record and transcribe meetings. Users can record discussions during a meeting which is converted into accurate text documentation resulting from its meeting recording and transcription capabilities. It caters to not only transcribing the words spoken during a meeting but also identifies and notes down action items for future reference.
Hyprcore's wiki tree structure serving as a built-in data organization feature, houses all your meetings, dictations, and notes in an organized tree-like structure. This allows users to make their documentations searchable like a database. It ensures all meeting details, notes, and dictated words are neatly sorted and accessible to the user hence, making data organization and retrieval highly efficient and effortless.
The GPU-accelerated engine in Hyprcore enhances the performance of the dictation feature by providing local support for seamless dictation. It's designed to provide a fast, efficient, and smooth voice typing experience across different applications for the user's convenience.
Hyprcore is designed to work seamlessly across all macOS applications for dictation. By initiating the Global Dictation Component feature, users can transform any spoken word into text documentation in any application where the cursor is located.
Indeed, Hyprcore does offer a search feature within the AI Wiki. This allows users to quickly access previous meeting summaries, dictated notes, and other documentations using the search function, thus making the wiki pages quickly and easily accessible.
Yes, Hyprcore can generate summaries. Its AI technology has the ability to convert recorded audio into accurate text and generates summaries, while simultaneously identifying action items.
In Hyprcore, notes, meetings and dictations are all stored within the wiki tree structure. This means that every meeting detail, dictated notes and typed information lives as a page in the tree. This method ensures every word is captured, no information is lost, and that knowledge is easy to find, accessible and searchable.
Hyprcore does offer capabilities for remote team collaboration. The meeting recording and transcription feature of the tool enables you to capture conversations, summaries, and action items. It makes it easier to share and distribute meeting details within your team so that the team is always updated, aiding better collaboration.
LLM technology in Hyprcore plays a crucial role in enhancing the overall user experience. It helps in the efficient functioning of its application by allowing quick and accurate conversion of any spoken word into text documentation. This further leads to seamless recording and transcribing of meetings, enhancing organisational efficiency.
Hyprcore helps in text documentation by converting any spoken word into accurate and concise text. It features a meeting recording and transcription tool which enables users to document detailed meeting proceedings effectively. Besides, the dictation feature also allows voice typing across all applications, aiding in swift and smooth documentation.
Hyprcore has data organization features built into its system, which mainly work via its wiki feature. With all meetings, dictations, and notes stored in an organized tree structure, users can search these like a database. This presents a highly efficient and versatile tool for organizing and accessing stored information.
The Global Dictation Component in Hyprcore is a dictation feature that transcribes any spoken words into text in any part of the system. With the help of a GPU-accelerated engine, the dictation is captured and transformed instantly into text where the cursor is currently present in the application.
Yes, Hyprcore does have the capability to identify action items in a meeting. During the meeting transcriptions, not only is the conversation converted into text, but the AI technology also generates summaries and identifies the action points from the conversation.
Indeed, Hyprcore does offer a special feature where users can create Notion-style pages complete with icons and cover images. An inclusive emoji palette also exists within Hyprcore, which allows users to search across every page in the wiki tree.
Yes, Hyprcore has a native macOS workspace that aims to bring together an AI wiki, a meeting recorder, and global dictation. It offers a comprehensive platform to capture and catalogue all your spoken and written inputs in a unified environment.
The seamless dictation feature in Hyprcore offers an efficient way of voice typing across all applications just by using the GPU-accelerated engine. This means that the dictation captures your words and converts them into text in the application where your cursor currently resides.
Yes, Hyprcore allows users to create Notion-style pages with icons and cover images. Users can use these pages to type their notes or record the minutes of their meetings and dictate any pertinent information which is then automatically saved in the wiki tree structure for easy future reference.
Pricing
Pricing model
Freemium
Paid options from
$19.99/month
Billing frequency
Monthly
