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It is intended for people who dictate documents or messages, accessibility workflows, and teams capturing meetings on macOS, Windows or Linux.\n\n## Voice and note workflows\n- Start dictation with a global hotkey and paste the resulting text into another app.\n- Choose local speech models or supported cloud transcription providers.\n- Translate dictated text or apply optional AI cleanup and assistant commands.\n- Record meetings, import supported audio or video files, and generate summaries.\n- Organize notes and use optional account-based sync, sharing and team spaces.\n- Configure dictionaries, snippets, output preferences and model\u002Fprovider settings.\n\n## macOS installation and hardware\nDownload the signed DMG for Apple Silicon or Intel, drag the app to Applications and complete onboarding, or use `brew install --cask openwhispr`. The exact 1.10.2 arm64 DMG is 333,938,591 bytes, verified by HEAD against the official release asset. The macOS guide requires macOS 12 Monterey or later; capturing the other side of a meeting through system audio requires macOS 14.2 or later. A microphone is required. The official requirements page does not specify a numeric minimum RAM.\n\nLocal transcription and reasoning models require additional downloads, storage and compute. Small Whisper models occupy hundreds of megabytes, larger models several gigabytes, and local reasoning models can be larger again. The guide recommends recent Apple Silicon or suitable GPU hardware for larger models; model choice matters more than treating installer size as the complete requirement. Metal acceleration is available on Apple Silicon. Some components have newer OS requirements than the base app. The packaged app does not require a user-installed Node.js toolchain; the documented source-development workflow requires Node.js 24 or later. The cask declares no named conflict.\n\n## Permissions and network\nMicrophone permission allows recording. Accessibility permission enables automatic pasting; without it, copy and paste manually from the clipboard. System-audio capture uses macOS's recording authorization and is optional for meetings. Optional screen context for the assistant needs Screen Recording authorization and captures a screenshot for that command; leave it off when not needed. Grant calendar access only for a calendar integration you choose. The guide's update description may lag the 1.10.0 release, which introduced background-download automatic updates; review the actual update setting rather than relying on older instructions.\n\nLocal processing can work offline after the selected models are downloaded. Configure both transcription and any cleanup or reasoning step locally if the full workflow must stay on-device. Cloud providers, account-based sync, calendar integrations and shared notes require internet access and have their own privacy, retention and account terms. Bring-your-own-key providers require their credentials; hosted OpenWhispr Cloud and enterprise deployments have plan limits or paid services. The desktop source is MIT-licensed and free for personal and commercial use, which does not imply unlimited free cloud processing.\n\n## Privacy and accuracy\nObtain appropriate consent before recording meetings. Cloud transcription sends audio, and cloud reasoning can send transcripts or screen context to the configured service. Local settings alone do not establish that every optional integration stays offline. Protect API keys and local notes, review sharing visibility, and back up important recordings before clearing app data. AI summaries, translation and cleanup can omit or change meaning: retain the original transcript and verify decisions, numbers and action items before sharing. Current 1.10.2 notes specifically address summary timeouts, empty recordings and OpenRouter screenshot capability lookup.\n\nSources: [Official project](https:\u002F\u002Fgithub.com\u002FOpenWhispr\u002Fopenwhispr), [macOS guide](https:\u002F\u002Fdocs.openwhispr.com\u002Fplatform\u002Fmacos), [System requirements](https:\u002F\u002Fdocs.openwhispr.com\u002Fplatform\u002Fsystem-requirements), [Official releases](https:\u002F\u002Fgithub.com\u002FOpenWhispr\u002Fopenwhispr\u002Freleases).","Privacy-first voice-to-text dictation with AI agents","Gizmo Labs Inc. \u002F OpenWhispr 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попытки при превышении срока ожидания больше не выполняются.\n- Для записей без содержательной информации возвращается фактическая сводка в одну строку.\n- Исправлен поиск моделей с поддержкой изображений в OpenRouter по идентификаторам с префиксом поставщика.\n\nИсточник: [Официальный релиз](https:\u002F\u002Fgithub.com\u002FOpenWhispr\u002Fopenwhispr\u002Freleases\u002Ftag\u002Fv1.10.2).","2026-09-15T04:17:31Z",2719,"2026-10-07T09:38:40.131182Z",[84],{"area":85,"items":86},"Изменения",[87,88,89],"Поддерживает более длинные запросы на форматирование заметок и исключает повторные попытки при превышении срока выполнения.","Возвращает однострочное резюме на основе фактов для записей без существенного содержания.","Исправляет поиск моделей компьютерного зрения в OpenRouter по идентификаторам с префиксом поставщика.","editorial","en-US","Исправляет тайм-ауты длинных резюме, пустые резюме записей и поддержку снимков экрана в OpenRouter.","OpenWhispr 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изображение для знакомства с версией 1.10.2, обрезанное до уведомления об обнаружении встречи; это не полный скриншот приложения.",1584,"dark","https:\u002F\u002Fcdn.opennavo.com\u002Fscreenshots\u002Fuploads\u002Fscreenshot\u002F8429025abacc\u002F9be74e612ed1-640.png","https:\u002F\u002Fcdn.opennavo.com\u002Fscreenshots\u002Fuploads\u002Fscreenshot\u002F8429025abacc\u002F9be74e612ed1-1280.png",1280,"https:\u002F\u002Fgithub.com\u002Fhomebrew\u002Fhomebrew-cask\u002Fblob\u002FHEAD\u002FCasks\u002Fo\u002Fopenwhispr.rb","A voice dictation and meeting-notes app with local or cloud transcription, automatic pasting and optional AI assistance.",{"locale":91,"machineTranslated":44,"sourceLocale":91,"status":452},"source",{"arm64":40,"requiresRosetta":44,"status":454,"x86_64":40},"known",[456,457,458,459],"Dictation","Transcription","AI","Notes","homebrew\u002Fcask",null,[463,473,482,494,503],{"autoUpdates":40,"deprecated":44,"disabled":44,"displayName":464,"editorChoice":44,"installs30d":465,"isFont":44,"isLibrary":44,"kind":77,"machineTranslated":40,"name":466,"primaryCategory":467,"rank30d":468,"sourceLocale":91,"summary":469,"token":470,"version":471,"versionChangedAt":472},"Microsoft Intune Company Portal",171,"Company Portal",{"icon":43,"machineTranslated":44,"name":45,"slug":46,"sourceLocale":47},576,"Зарегистрируйте Mac в Microsoft Intune, проверьте требования организации к устройствам и сохраните доступ к рабочим или учебным приложениям, почте и 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assistant","app-cleaner","10.0.1,2336","\u003Cp>OpenWhispr turns spoken input into text at the cursor and supports meeting transcription, notes and optional AI assistance. It is intended for people who dictate documents or messages, accessibility workflows, and teams capturing meetings on macOS, Windows or Linux.\u003C\u002Fp>\n\u003Ch3 class=\"on-md-heading-1\">Voice and note workflows\u003C\u002Fh3>\n\u003Cul>\n\u003Cli>Start dictation with a global hotkey and paste the resulting text into another app.\u003C\u002Fli>\n\u003Cli>Choose local speech models or supported cloud transcription providers.\u003C\u002Fli>\n\u003Cli>Translate dictated text or apply optional AI cleanup and assistant commands.\u003C\u002Fli>\n\u003Cli>Record meetings, import supported audio or video files, and generate summaries.\u003C\u002Fli>\n\u003Cli>Organize notes and use optional account-based sync, sharing and team spaces.\u003C\u002Fli>\n\u003Cli>Configure dictionaries, snippets, output preferences and model\u002Fprovider settings.\u003C\u002Fli>\n\u003C\u002Ful>\n\u003Ch3 class=\"on-md-heading-1\">macOS installation and hardware\u003C\u002Fh3>\n\u003Cp>Download the signed DMG for Apple Silicon or Intel, drag the app to Applications and complete onboarding, or use \u003Ccode>brew install --cask openwhispr\u003C\u002Fcode>. The exact 1.10.2 arm64 DMG is 333,938,591 bytes, verified by HEAD against the official release asset. The macOS guide requires macOS 12 Monterey or later; capturing the other side of a meeting through system audio requires macOS 14.2 or later. A microphone is required. The official requirements page does not specify a numeric minimum RAM.\u003C\u002Fp>\n\u003Cp>Local transcription and reasoning models require additional downloads, storage and compute. Small Whisper models occupy hundreds of megabytes, larger models several gigabytes, and local reasoning models can be larger again. The guide recommends recent Apple Silicon or suitable GPU hardware for larger models; model choice matters more than treating installer size as the complete requirement. Metal acceleration is available on Apple Silicon. Some components have newer OS requirements than the base app. The packaged app does not require a user-installed Node.js toolchain; the documented source-development workflow requires Node.js 24 or later. The cask declares no named conflict.\u003C\u002Fp>\n\u003Ch3 class=\"on-md-heading-1\">Permissions and network\u003C\u002Fh3>\n\u003Cp>Microphone permission allows recording. Accessibility permission enables automatic pasting; without it, copy and paste manually from the clipboard. System-audio capture uses macOS's recording authorization and is optional for meetings. Optional screen context for the assistant needs Screen Recording authorization and captures a screenshot for that command; leave it off when not needed. Grant calendar access only for a calendar integration you choose. The guide's update description may lag the 1.10.0 release, which introduced background-download automatic updates; review the actual update setting rather than relying on older instructions.\u003C\u002Fp>\n\u003Cp>Local processing can work offline after the selected models are downloaded. Configure both transcription and any cleanup or reasoning step locally if the full workflow must stay on-device. Cloud providers, account-based sync, calendar integrations and shared notes require internet access and have their own privacy, retention and account terms. Bring-your-own-key providers require their credentials; hosted OpenWhispr Cloud and enterprise deployments have plan limits or paid services. The desktop source is MIT-licensed and free for personal and commercial use, which does not imply unlimited free cloud processing.\u003C\u002Fp>\n\u003Ch3 class=\"on-md-heading-1\">Privacy and accuracy\u003C\u002Fh3>\n\u003Cp>Obtain appropriate consent before recording meetings. Cloud transcription sends audio, and cloud reasoning can send transcripts or screen context to the configured service. Local settings alone do not establish that every optional integration stays offline. Protect API keys and local notes, review sharing visibility, and back up important recordings before clearing app data. AI summaries, translation and cleanup can omit or change meaning: retain the original transcript and verify decisions, numbers and action items before sharing. Current 1.10.2 notes specifically address summary timeouts, empty recordings and OpenRouter screenshot capability lookup.\u003C\u002Fp>\n\u003Cp>Sources: \u003Ca href=\"https:\u002F\u002Fgithub.com\u002FOpenWhispr\u002Fopenwhispr\" target=\"_blank\" rel=\"noopener noreferrer\">Official project\u003C\u002Fa>, \u003Ca href=\"https:\u002F\u002Fdocs.openwhispr.com\u002Fplatform\u002Fmacos\" target=\"_blank\" rel=\"noopener noreferrer\">macOS guide\u003C\u002Fa>, \u003Ca href=\"https:\u002F\u002Fdocs.openwhispr.com\u002Fplatform\u002Fsystem-requirements\" target=\"_blank\" rel=\"noopener noreferrer\">System requirements\u003C\u002Fa>, \u003Ca href=\"https:\u002F\u002Fgithub.com\u002FOpenWhispr\u002Fopenwhispr\u002Freleases\" target=\"_blank\" rel=\"noopener noreferrer\">Official releases\u003C\u002Fa>.\u003C\u002Fp>\n"]