#whisper — Public Fediverse posts

Lithium batteries in the trail cam dried up today. Found enough loose regular batteries in the junk drawer to get it working again. No kitten sightings yesterday or today, so their mom must be on nest rotation.

#whisper #dexy #jinx
#cats #kittens #northdakota

Trasforma la voce in testo, note e comandi direttamente dal desktop con OpenWhispr, un progetto open source attento alla privacy e disponibile anche per Linux. #Linux #OpenSource #OpenWhispr #AI #Whisper #VoiceToText https://www.linuxeasy.org/openwhispr-porta-dettatura-vocale-e-agenti-ai-open-source-su-linux/

Trasforma la voce in testo, note e comandi direttamente dal desktop con OpenWhispr, un progetto open source attento alla privacy e disponibile anche per Linux. #Linux #OpenSource #OpenWhispr #AI #Whisper #VoiceToText https://www.linuxeasy.org/openwhispr-porta-dettatura-vocale-e-agenti-ai-open-source-su-linux/

Trasforma la voce in testo, note e comandi direttamente dal desktop con OpenWhispr, un progetto open source attento alla privacy e disponibile anche per Linux. #Linux #OpenSource #OpenWhispr #AI #Whisper #VoiceToText https://www.linuxeasy.org/openwhispr-porta-dettatura-vocale-e-agenti-ai-open-source-su-linux/

Trasforma la voce in testo, note e comandi direttamente dal desktop con OpenWhispr, un progetto open source attento alla privacy e disponibile anche per Linux. #Linux #OpenSource #OpenWhispr #AI #Whisper #VoiceToText https://www.linuxeasy.org/openwhispr-porta-dettatura-vocale-e-agenti-ai-open-source-su-linux/

Trasforma la voce in testo, note e comandi direttamente dal desktop con OpenWhispr, un progetto open source attento alla privacy e disponibile anche per Linux. #Linux #OpenSource #OpenWhispr #AI #Whisper #VoiceToText https://www.linuxeasy.org/openwhispr-porta-dettatura-vocale-e-agenti-ai-open-source-su-linux/

Я ошибался: бенчмарк 23 ASR-нейросетей для русской айтишной диктовки

В марте я советовал Whisper Large v3 для голосовой диктовки и ошибался дважды: в методе (выбирал модель «на ощупь») и в самой модели. Пересобрал всё по-научному: 23 ASR-модели в 60+ конфигурациях, больше 100 000 прогонов на русско-английском IT-корпусе, 120+ часов инференса на одной RTX 5070 Ti. Мерил не только WER, но и сохранение английских терминов латиницей и пунктуацию. Внутри — полный лидерборд, разбор каждого сюрприза, вклад тюнинга и промптов, cloud-против-open по деньгам и инструкция, как поставить победителя за 10 минут.

https://habr.com/ru/articles/1066528/

#whisper #breezeasr #распознавание_речи #ASR #voicetotext #whisper_large_v3 #whisper_turbo #gigaam_v3 #faster_whisper #codeswitching

Я ошибался: бенчмарк 23 ASR-нейросетей для русской айтишной диктовки

В марте я советовал Whisper Large v3 для голосовой диктовки и ошибался дважды: в методе (выбирал модель «на ощупь») и в самой модели. Пересобрал всё по-научному: 23 ASR-модели в 60+ конфигурациях, больше 100 000 прогонов на русско-английском IT-корпусе, 120+ часов инференса на одной RTX 5070 Ti. Мерил не только WER, но и сохранение английских терминов латиницей и пунктуацию. Внутри — полный лидерборд, разбор каждого сюрприза, вклад тюнинга и промптов, cloud-против-open по деньгам и инструкция, как поставить победителя за 10 минут.

https://habr.com/ru/articles/1066528/

#whisper #breezeasr #распознавание_речи #ASR #voicetotext #whisper_large_v3 #whisper_turbo #gigaam_v3 #faster_whisper #codeswitching

Я ошибался: бенчмарк 23 ASR-нейросетей для русской айтишной диктовки

В марте я советовал Whisper Large v3 для голосовой диктовки и ошибался дважды: в методе (выбирал модель «на ощупь») и в самой модели. Пересобрал всё по-научному: 23 ASR-модели в 60+ конфигурациях, больше 100 000 прогонов на русско-английском IT-корпусе, 120+ часов инференса на одной RTX 5070 Ti. Мерил не только WER, но и сохранение английских терминов латиницей и пунктуацию. Внутри — полный лидерборд, разбор каждого сюрприза, вклад тюнинга и промптов, cloud-против-open по деньгам и инструкция, как поставить победителя за 10 минут.

https://habr.com/ru/articles/1066528/

#whisper #breezeasr #распознавание_речи #ASR #voicetotext #whisper_large_v3 #whisper_turbo #gigaam_v3 #faster_whisper #codeswitching

I made this #YouTube video for work using #OpenSource. #Audacity with #OpenVINO to clean up the #Audio #Inkscape for the lower thirds and #Kdenlive to edit everything. Oh, and #Whisper to automatically create the #subtitles, which is did an amazing job, better than Audacity and OpenVINO did. Only would have been better if I did it on my home #kubuntu desktop but open source #software is the best and all ran on my Windows workstation.

https://youtu.be/YEkgv__LgGw?si=C73y62hSDyeT0X5L

La dettatura vocale arriva su Linux con un progetto open source che punta tutto su privacy, velocità e semplicità d'uso. Scopri come funziona Vocalinux e perché potrebbe diventare uno strumento indispensabile. #Linux #OpenSource #VoiceTyping #Privacy #Wayland #Whisper

https://www.linuxeasy.org/vocalinux-porta-la-dettatura-vocale-offline-su-linux-con-privacy-e-prestazioni-elevate/

Qwen3.5 на двух V100, reverse SSH вместо Cloudflare в Telegram Mini App: собираю AI-репетитора английского

У меня в углу комнаты стоит сервер с двумя Tesla V100 32GB. Они доcтались мне для другой задачи, которая отвалилась, и полгода стояли мёртвым грузом. Параллельно я в очередной раз пробовал заниматься английским — Simpler, Doalingo, ещё пара продуктов. Хорошие, но мне не подходил формат: я хотел сценарий «открыл телефон дома на семь минут, поговорил, закрыл». Без расписания, без камеры, без поиска тьютора, который понимает мой акцент с пятого раза. Сошлось. Идея: Telegram Mini App, в нём кнопка «говорить», за ней — AI-репетитор, который слышит, что я сказал, отвечает голосом, помнит контекст разговора, тыкает в мои повторяющиеся ошибки и подбрасывает слова, которые я пытаюсь выучить. Полностью бесплатно. Модель Qwen3.5 вышла 25 февраля , я её гоняю всего несколько недель, продукт сырой. Эта статья — про архитектурные решения и про то, на какие грабли я уже успел наступить.

https://habr.com/ru/articles/1042166/

#vllm #qwen35 #telegram_bot #telegram_mini_apps #aiogram_3 #fastapi #selfhosted_llm #kokoro_tts #whisper #tesla_v100

OpenAI, çağrışım dilini başarıyla sesli yapay zeka uygulamalarıyla birleştiriyor: GPT‑Realtime‑2, Translate ve Whisper elemanlarıyla gerçek zamanlı konuşma, çeviri ve transkripsiyon sistemini tek bir akışta sunuyor.

🚩 #OpenAI #SesAI #GPTRealtime #Whisper #Translate

Локальный голосовой ввод: Whisper + Ollama на Python

Мне нужен был голосовой ввод. Не диктовка в Google Docs, не облачный API — а простая штука: зажал клавишу, сказал, отпустил, текст появился в активном окне. Локально, без отправки аудио куда-либо. Готовых решений, которые бы устроили, сходу не нашёл. Сделал свое. Может, кому будет полезно.

https://habr.com/ru/articles/1009538/

#whisper #ollama #speechtotext #voicetotext #pushtotalk #голосовой_ввод #python #localfirst #privacy

Локальный голосовой ввод: Whisper + Ollama на Python

Мне нужен был голосовой ввод. Не диктовка в Google Docs, не облачный API — а простая штука: зажал клавишу, сказал, отпустил, текст появился в активном окне. Локально, без отправки аудио куда-либо. Готовых решений, которые бы устроили, сходу не нашёл. Сделал свое. Может, кому будет полезно.

https://habr.com/ru/articles/1009538/

#whisper #ollama #speechtotext #voicetotext #pushtotalk #голосовой_ввод #python #localfirst #privacy

Локальный голосовой ввод: Whisper + Ollama на Python

Мне нужен был голосовой ввод. Не диктовка в Google Docs, не облачный API — а простая штука: зажал клавишу, сказал, отпустил, текст появился в активном окне. Локально, без отправки аудио куда-либо. Готовых решений, которые бы устроили, сходу не нашёл. Сделал свое. Может, кому будет полезно.

https://habr.com/ru/articles/1009538/

#whisper #ollama #speechtotext #voicetotext #pushtotalk #голосовой_ввод #python #localfirst #privacy

🗣️🎤📝 :linux: Speech to Text and Text to Speech on GNU/Linux :disability_flag: 📝🔊💻

Why This Matters to Me (and Maybe You Too)

If you’re anything like me—a Linux user who counts on voice typing and TTS because of visual impairment—you know that accessibility is not a luxury, it’s a necessity. Speaking from experience as someone who depends on voice typing (and TTS) , the quest for a seamless, local, FLOSS speech-to-text (STT) setup on Linux can be frustrating.
Here’s how you can succeed with modern tools using Linux. FLOSS means freedom and privacy; working locally means real control.
Let’s dive in! I’ll tell you what I’ve learned and what I use—and hope you’ll share your favorite tools or tips!

System-Wide Voice Keyboard: Speak Directly in Any App

Want to speak and have your words typed wherever your cursor is—be it a terminal, browser, chat, or IDE? Here’s what actually works and how it feels day-to-day:

- Speak to AI (Offline, Whisper-based, global hotkeys)
This tool is my current go-to. It uses Whisper locally, lets you use global hotkeys (configurable) to type into any focused window, and doesn’t need internet. Runs smoothly on X11 and Wayland; just takes a bit of setup (AppImage available!).
GitHub Repo https://github.com/AshBuk/speak-to-ai) | Dev.to Post https://dev.to/ashbuk/i-built-an-offline-voice-typing-app-for-linux-speak-to-ai-3ab5)

- DIY: RealtimeSTT + PyAutoGUI
For the true tinkerers, RealtimeSTT plus a Python script lets you simulate keystrokes. You control every step, can lower latency with your tweaks, but you’ll need to be comfortable with scripting.
RealtimeSTT Guide https://github.com/KoljaB/RealtimeSTT#readme)

- Handy (Free/Libre, offline, Whisper-based, acts as a keyboard)
I’ve read lots of positive feedback on Handy—even though I haven’t tried it myself. The workflow is simple: press a hotkey, speak, and Handy pastes your text in the active app. It’s fully offline, works on X11 and Wayland, and gets strong accuracy thanks to Whisper.
Heads up: Handy lets you pick your own shortcut key, but it actually overrides the keyboard shortcut for start/stop recording. That means it can clash with other tools that depend on major shortcut combos—including Orca’s custom keybindings if you use a screen reader. If your workflow relies on certain shortcuts, this might need adjustment or careful planning before you commit.
GitHub Repo https://github.com/cjpais/Handy) | Demo https://handy.computer)

Real-Time Transcription in a Window (Copy/Paste Workflow)

If you’re okay with speaking into a dedicated app, then copying, these options offer great GUIs and power features:

- Speech Note by @mkiol https://mastodon.social/@mkiol
FLOSS, offline, multi-language GUI app—perfect for quick notes and batch transcription. Not a system-wide keyboard, but super easy to use and works on both desktops and Linux phones.
Flathub https://flathub.org/apps/net.mkiol.SpeechNote | LinuxPhoneApps https://linuxphoneapps.org/apps/net.mkiol.speechnote/)

- WhisperLive (by Collabora)
Real-time transcription in a terminal or window—great for meetings, lectures, and captions. Manual copy/paste required to get the text to other apps.
GitHub Repo https://github.com/collabora/WhisperLive)

More Tools for Tinkerers

If you like building your own or want extra control, check out:
- Vosk: Lightweight, lots of language support. GitHub https://alphacephei.com/vosk/)
- Kaldi: Powerful, best for custom setups. Website https://kaldi-asr.org/)
- Simon: Voice control automation. Website https://simon-listens.org/)
- voice2json: Phrase-level and command recognition. GitHub https://github.com/synesthesiam/voice2json)

Pro Tips

- Desktop Environment: X11 vs. Wayland affects how keyboard hooks and app focus actually operate.
- Ready-Made vs. DIY: If you want plug-and-play, try Speech Note or Handy first. Into automation or customization? RealtimeSTT is perfect.
- Follow the Community: @thorstenvoice offers tons of open-source voice tech insights.

Screen Reader Integration

Looking for robust screen reader support? Linux has you covered:

- Orca (GNOME/MATE): The most customizable GUI screen reader out there. The default voice (eSpeak) is robotic, but you can swap it for something better and fine-tune verbosity so it reads only what matters.
- Speakup: Console-based, ideal for terminal.
- Emacspeak: The solution for Emacs fans.

💡 Orca is part of my daily toolkit. It took time to get the settings just right (especially verbosity!) but it’s absolutely worth it. If you use a screen reader—what setup makes it bearable or even enjoyable for you?

Final Thoughts

If you’re starting from scratch, try Handy for direct typing (just watch those shortcuts if you use a screen reader!) or Speech Note for GUI-based transcription. Both are privacy-friendly, local, and accessible—ideal for everyday Linux use.

Is there a FLOSS gem missing here?
Sharing what works (and what doesn’t!) helps the entire community.

Resources:
Speech Note on Flathub https://flathub.org/apps/net.mkiol.SpeechNote
Handy GitHub https://github.com/cjpais/Handy
Speak to AI Guide https://dev.to/ashbuk/i-built-an-offline-voice-typing-app-for-linux-speak-to-ai-3ab5
RealtimeSTT https://github.com/KoljaB/RealtimeSTT

#Linux #SpeechToText #FLOSS #Accessibility #VoiceKeyboard #ScreenReader #Whisper #Handy #SpeechNote #OpenSource #Community #voicetyping #LocalSTT #TTStools #SpeechRecognition #A11y #Linuxtools #Voicekeyboard #Whisper #Handy #speech-to-text #SpeechNote #review #ScreenReaders #ORCA #FOSS

🗣️🎤📝 :linux: Speech to Text and Text to Speech on GNU/Linux :disability_flag: 📝🔊💻

Why This Matters to Me (and Maybe You Too)

If you’re anything like me—a Linux user who counts on voice typing and TTS because of visual impairment—you know that accessibility is not a luxury, it’s a necessity. Speaking from experience as someone who depends on voice typing (and TTS) , the quest for a seamless, local, FLOSS speech-to-text (STT) setup on Linux can be frustrating.
Here’s how you can succeed with modern tools using Linux. FLOSS means freedom and privacy; working locally means real control.
Let’s dive in! I’ll tell you what I’ve learned and what I use—and hope you’ll share your favorite tools or tips!

System-Wide Voice Keyboard: Speak Directly in Any App

Want to speak and have your words typed wherever your cursor is—be it a terminal, browser, chat, or IDE? Here’s what actually works and how it feels day-to-day:

- Speak to AI (Offline, Whisper-based, global hotkeys)
This tool is my current go-to. It uses Whisper locally, lets you use global hotkeys (configurable) to type into any focused window, and doesn’t need internet. Runs smoothly on X11 and Wayland; just takes a bit of setup (AppImage available!).
GitHub Repo https://github.com/AshBuk/speak-to-ai) | Dev.to Post https://dev.to/ashbuk/i-built-an-offline-voice-typing-app-for-linux-speak-to-ai-3ab5)

- DIY: RealtimeSTT + PyAutoGUI
For the true tinkerers, RealtimeSTT plus a Python script lets you simulate keystrokes. You control every step, can lower latency with your tweaks, but you’ll need to be comfortable with scripting.
RealtimeSTT Guide https://github.com/KoljaB/RealtimeSTT#readme)

- Handy (Free/Libre, offline, Whisper-based, acts as a keyboard)
I’ve read lots of positive feedback on Handy—even though I haven’t tried it myself. The workflow is simple: press a hotkey, speak, and Handy pastes your text in the active app. It’s fully offline, works on X11 and Wayland, and gets strong accuracy thanks to Whisper.
Heads up: Handy lets you pick your own shortcut key, but it actually overrides the keyboard shortcut for start/stop recording. That means it can clash with other tools that depend on major shortcut combos—including Orca’s custom keybindings if you use a screen reader. If your workflow relies on certain shortcuts, this might need adjustment or careful planning before you commit.
GitHub Repo https://github.com/cjpais/Handy) | Demo https://handy.computer)

Real-Time Transcription in a Window (Copy/Paste Workflow)

If you’re okay with speaking into a dedicated app, then copying, these options offer great GUIs and power features:

- Speech Note by @mkiol https://mastodon.social/@mkiol
FLOSS, offline, multi-language GUI app—perfect for quick notes and batch transcription. Not a system-wide keyboard, but super easy to use and works on both desktops and Linux phones.
Flathub https://flathub.org/apps/net.mkiol.SpeechNote | LinuxPhoneApps https://linuxphoneapps.org/apps/net.mkiol.speechnote/)

- WhisperLive (by Collabora)
Real-time transcription in a terminal or window—great for meetings, lectures, and captions. Manual copy/paste required to get the text to other apps.
GitHub Repo https://github.com/collabora/WhisperLive)

More Tools for Tinkerers

If you like building your own or want extra control, check out:
- Vosk: Lightweight, lots of language support. GitHub https://alphacephei.com/vosk/)
- Kaldi: Powerful, best for custom setups. Website https://kaldi-asr.org/)
- Simon: Voice control automation. Website https://simon-listens.org/)
- voice2json: Phrase-level and command recognition. GitHub https://github.com/synesthesiam/voice2json)

Pro Tips

- Desktop Environment: X11 vs. Wayland affects how keyboard hooks and app focus actually operate.
- Ready-Made vs. DIY: If you want plug-and-play, try Speech Note or Handy first. Into automation or customization? RealtimeSTT is perfect.
- Follow the Community: @thorstenvoice offers tons of open-source voice tech insights.

Screen Reader Integration

Looking for robust screen reader support? Linux has you covered:

- Orca (GNOME/MATE): The most customizable GUI screen reader out there. The default voice (eSpeak) is robotic, but you can swap it for something better and fine-tune verbosity so it reads only what matters.
- Speakup: Console-based, ideal for terminal.
- Emacspeak: The solution for Emacs fans.

💡 Orca is part of my daily toolkit. It took time to get the settings just right (especially verbosity!) but it’s absolutely worth it. If you use a screen reader—what setup makes it bearable or even enjoyable for you?

Final Thoughts

If you’re starting from scratch, try Handy for direct typing (just watch those shortcuts if you use a screen reader!) or Speech Note for GUI-based transcription. Both are privacy-friendly, local, and accessible—ideal for everyday Linux use.

Is there a FLOSS gem missing here?
Sharing what works (and what doesn’t!) helps the entire community.

Resources:
Speech Note on Flathub https://flathub.org/apps/net.mkiol.SpeechNote
Handy GitHub https://github.com/cjpais/Handy
Speak to AI Guide https://dev.to/ashbuk/i-built-an-offline-voice-typing-app-for-linux-speak-to-ai-3ab5
RealtimeSTT https://github.com/KoljaB/RealtimeSTT

#Linux #SpeechToText #FLOSS #Accessibility #VoiceKeyboard #ScreenReader #Whisper #Handy #SpeechNote #OpenSource #Community #voicetyping #LocalSTT #TTStools #SpeechRecognition #A11y #Linuxtools #Voicekeyboard #Whisper #Handy #speech-to-text #SpeechNote #review #ScreenReaders #ORCA #FOSS

🗣️🎤📝 :linux: Speech to Text and Text to Speech on GNU/Linux :disability_flag: 📝🔊💻

Why This Matters to Me (and Maybe You Too)

If you’re anything like me—a Linux user who counts on voice typing and TTS because of visual impairment—you know that accessibility is not a luxury, it’s a necessity. Speaking from experience as someone who depends on voice typing (and TTS) , the quest for a seamless, local, FLOSS speech-to-text (STT) setup on Linux can be frustrating.
Here’s how you can succeed with modern tools using Linux. FLOSS means freedom and privacy; working locally means real control.
Let’s dive in! I’ll tell you what I’ve learned and what I use—and hope you’ll share your favorite tools or tips!

System-Wide Voice Keyboard: Speak Directly in Any App

Want to speak and have your words typed wherever your cursor is—be it a terminal, browser, chat, or IDE? Here’s what actually works and how it feels day-to-day:

- Speak to AI (Offline, Whisper-based, global hotkeys)
This tool is my current go-to. It uses Whisper locally, lets you use global hotkeys (configurable) to type into any focused window, and doesn’t need internet. Runs smoothly on X11 and Wayland; just takes a bit of setup (AppImage available!).
GitHub Repo https://github.com/AshBuk/speak-to-ai) | Dev.to Post https://dev.to/ashbuk/i-built-an-offline-voice-typing-app-for-linux-speak-to-ai-3ab5)

- DIY: RealtimeSTT + PyAutoGUI
For the true tinkerers, RealtimeSTT plus a Python script lets you simulate keystrokes. You control every step, can lower latency with your tweaks, but you’ll need to be comfortable with scripting.
RealtimeSTT Guide https://github.com/KoljaB/RealtimeSTT#readme)

- Handy (Free/Libre, offline, Whisper-based, acts as a keyboard)
I’ve read lots of positive feedback on Handy—even though I haven’t tried it myself. The workflow is simple: press a hotkey, speak, and Handy pastes your text in the active app. It’s fully offline, works on X11 and Wayland, and gets strong accuracy thanks to Whisper.
Heads up: Handy lets you pick your own shortcut key, but it actually overrides the keyboard shortcut for start/stop recording. That means it can clash with other tools that depend on major shortcut combos—including Orca’s custom keybindings if you use a screen reader. If your workflow relies on certain shortcuts, this might need adjustment or careful planning before you commit.
GitHub Repo https://github.com/cjpais/Handy) | Demo https://handy.computer)

Real-Time Transcription in a Window (Copy/Paste Workflow)

If you’re okay with speaking into a dedicated app, then copying, these options offer great GUIs and power features:

- Speech Note by @mkiol https://mastodon.social/@mkiol
FLOSS, offline, multi-language GUI app—perfect for quick notes and batch transcription. Not a system-wide keyboard, but super easy to use and works on both desktops and Linux phones.
Flathub https://flathub.org/apps/net.mkiol.SpeechNote | LinuxPhoneApps https://linuxphoneapps.org/apps/net.mkiol.speechnote/)

- WhisperLive (by Collabora)
Real-time transcription in a terminal or window—great for meetings, lectures, and captions. Manual copy/paste required to get the text to other apps.
GitHub Repo https://github.com/collabora/WhisperLive)

More Tools for Tinkerers

If you like building your own or want extra control, check out:
- Vosk: Lightweight, lots of language support. GitHub https://alphacephei.com/vosk/)
- Kaldi: Powerful, best for custom setups. Website https://kaldi-asr.org/)
- Simon: Voice control automation. Website https://simon-listens.org/)
- voice2json: Phrase-level and command recognition. GitHub https://github.com/synesthesiam/voice2json)

Pro Tips

- Desktop Environment: X11 vs. Wayland affects how keyboard hooks and app focus actually operate.
- Ready-Made vs. DIY: If you want plug-and-play, try Speech Note or Handy first. Into automation or customization? RealtimeSTT is perfect.
- Follow the Community: @thorstenvoice offers tons of open-source voice tech insights.

Screen Reader Integration

Looking for robust screen reader support? Linux has you covered:

- Orca (GNOME/MATE): The most customizable GUI screen reader out there. The default voice (eSpeak) is robotic, but you can swap it for something better and fine-tune verbosity so it reads only what matters.
- Speakup: Console-based, ideal for terminal.
- Emacspeak: The solution for Emacs fans.

💡 Orca is part of my daily toolkit. It took time to get the settings just right (especially verbosity!) but it’s absolutely worth it. If you use a screen reader—what setup makes it bearable or even enjoyable for you?

Final Thoughts

If you’re starting from scratch, try Handy for direct typing (just watch those shortcuts if you use a screen reader!) or Speech Note for GUI-based transcription. Both are privacy-friendly, local, and accessible—ideal for everyday Linux use.

Is there a FLOSS gem missing here?
Sharing what works (and what doesn’t!) helps the entire community.

Resources:
Speech Note on Flathub https://flathub.org/apps/net.mkiol.SpeechNote
Handy GitHub https://github.com/cjpais/Handy
Speak to AI Guide https://dev.to/ashbuk/i-built-an-offline-voice-typing-app-for-linux-speak-to-ai-3ab5
RealtimeSTT https://github.com/KoljaB/RealtimeSTT

#Linux #SpeechToText #FLOSS #Accessibility #VoiceKeyboard #ScreenReader #Whisper #Handy #SpeechNote #OpenSource #Community #voicetyping #LocalSTT #TTStools #SpeechRecognition #A11y #Linuxtools #Voicekeyboard #Whisper #Handy #speech-to-text #SpeechNote #review #ScreenReaders #ORCA #FOSS

🗣️🎤📝 :linux: Speech to Text and Text to Speech on GNU/Linux :disability_flag: 📝🔊💻

Why This Matters to Me (and Maybe You Too)

If you’re anything like me—a Linux user who counts on voice typing and TTS because of visual impairment—you know that accessibility is not a luxury, it’s a necessity. Speaking from experience as someone who depends on voice typing (and TTS) , the quest for a seamless, local, FLOSS speech-to-text (STT) setup on Linux can be frustrating.
Here’s how you can succeed with modern tools using Linux. FLOSS means freedom and privacy; working locally means real control.
Let’s dive in! I’ll tell you what I’ve learned and what I use—and hope you’ll share your favorite tools or tips!

System-Wide Voice Keyboard: Speak Directly in Any App

Want to speak and have your words typed wherever your cursor is—be it a terminal, browser, chat, or IDE? Here’s what actually works and how it feels day-to-day:

- Speak to AI (Offline, Whisper-based, global hotkeys)
This tool is my current go-to. It uses Whisper locally, lets you use global hotkeys (configurable) to type into any focused window, and doesn’t need internet. Runs smoothly on X11 and Wayland; just takes a bit of setup (AppImage available!).
GitHub Repo https://github.com/AshBuk/speak-to-ai) | Dev.to Post https://dev.to/ashbuk/i-built-an-offline-voice-typing-app-for-linux-speak-to-ai-3ab5)

- DIY: RealtimeSTT + PyAutoGUI
For the true tinkerers, RealtimeSTT plus a Python script lets you simulate keystrokes. You control every step, can lower latency with your tweaks, but you’ll need to be comfortable with scripting.
RealtimeSTT Guide https://github.com/KoljaB/RealtimeSTT#readme)

- Handy (Free/Libre, offline, Whisper-based, acts as a keyboard)
I’ve read lots of positive feedback on Handy—even though I haven’t tried it myself. The workflow is simple: press a hotkey, speak, and Handy pastes your text in the active app. It’s fully offline, works on X11 and Wayland, and gets strong accuracy thanks to Whisper.
Heads up: Handy lets you pick your own shortcut key, but it actually overrides the keyboard shortcut for start/stop recording. That means it can clash with other tools that depend on major shortcut combos—including Orca’s custom keybindings if you use a screen reader. If your workflow relies on certain shortcuts, this might need adjustment or careful planning before you commit.
GitHub Repo https://github.com/cjpais/Handy) | Demo https://handy.computer)

Real-Time Transcription in a Window (Copy/Paste Workflow)

If you’re okay with speaking into a dedicated app, then copying, these options offer great GUIs and power features:

- Speech Note by @mkiol https://mastodon.social/@mkiol
FLOSS, offline, multi-language GUI app—perfect for quick notes and batch transcription. Not a system-wide keyboard, but super easy to use and works on both desktops and Linux phones.
Flathub https://flathub.org/apps/net.mkiol.SpeechNote | LinuxPhoneApps https://linuxphoneapps.org/apps/net.mkiol.speechnote/)

- WhisperLive (by Collabora)
Real-time transcription in a terminal or window—great for meetings, lectures, and captions. Manual copy/paste required to get the text to other apps.
GitHub Repo https://github.com/collabora/WhisperLive)

More Tools for Tinkerers

If you like building your own or want extra control, check out:
- Vosk: Lightweight, lots of language support. GitHub https://alphacephei.com/vosk/)
- Kaldi: Powerful, best for custom setups. Website https://kaldi-asr.org/)
- Simon: Voice control automation. Website https://simon-listens.org/)
- voice2json: Phrase-level and command recognition. GitHub https://github.com/synesthesiam/voice2json)

Pro Tips

- Desktop Environment: X11 vs. Wayland affects how keyboard hooks and app focus actually operate.
- Ready-Made vs. DIY: If you want plug-and-play, try Speech Note or Handy first. Into automation or customization? RealtimeSTT is perfect.
- Follow the Community: @thorstenvoice offers tons of open-source voice tech insights.

Screen Reader Integration

Looking for robust screen reader support? Linux has you covered:

- Orca (GNOME/MATE): The most customizable GUI screen reader out there. The default voice (eSpeak) is robotic, but you can swap it for something better and fine-tune verbosity so it reads only what matters.
- Speakup: Console-based, ideal for terminal.
- Emacspeak: The solution for Emacs fans.

💡 Orca is part of my daily toolkit. It took time to get the settings just right (especially verbosity!) but it’s absolutely worth it. If you use a screen reader—what setup makes it bearable or even enjoyable for you?

Final Thoughts

If you’re starting from scratch, try Handy for direct typing (just watch those shortcuts if you use a screen reader!) or Speech Note for GUI-based transcription. Both are privacy-friendly, local, and accessible—ideal for everyday Linux use.

Is there a FLOSS gem missing here?
Sharing what works (and what doesn’t!) helps the entire community.

Resources:
Speech Note on Flathub https://flathub.org/apps/net.mkiol.SpeechNote
Handy GitHub https://github.com/cjpais/Handy
Speak to AI Guide https://dev.to/ashbuk/i-built-an-offline-voice-typing-app-for-linux-speak-to-ai-3ab5
RealtimeSTT https://github.com/KoljaB/RealtimeSTT

#Linux #SpeechToText #FLOSS #Accessibility #VoiceKeyboard #ScreenReader #Whisper #Handy #SpeechNote #OpenSource #Community #voicetyping #LocalSTT #TTStools #SpeechRecognition #A11y #Linuxtools #Voicekeyboard #Whisper #Handy #speech-to-text #SpeechNote #review #ScreenReaders #ORCA #FOSS

🗣️🎤📝 :linux: Speech to Text and Text to Speech on GNU/Linux :disability_flag: 📝🔊💻

Why This Matters to Me (and Maybe You Too)

If you’re anything like me—a Linux user who counts on voice typing and TTS because of visual impairment—you know that accessibility is not a luxury, it’s a necessity. Speaking from experience as someone who depends on voice typing (and TTS) , the quest for a seamless, local, FLOSS speech-to-text (STT) setup on Linux can be frustrating.
Here’s how you can succeed with modern tools using Linux. FLOSS means freedom and privacy; working locally means real control.
Let’s dive in! I’ll tell you what I’ve learned and what I use—and hope you’ll share your favorite tools or tips!

System-Wide Voice Keyboard: Speak Directly in Any App

Want to speak and have your words typed wherever your cursor is—be it a terminal, browser, chat, or IDE? Here’s what actually works and how it feels day-to-day:

- Speak to AI (Offline, Whisper-based, global hotkeys)
This tool is my current go-to. It uses Whisper locally, lets you use global hotkeys (configurable) to type into any focused window, and doesn’t need internet. Runs smoothly on X11 and Wayland; just takes a bit of setup (AppImage available!).
GitHub Repo https://github.com/AshBuk/speak-to-ai) | Dev.to Post https://dev.to/ashbuk/i-built-an-offline-voice-typing-app-for-linux-speak-to-ai-3ab5)

- DIY: RealtimeSTT + PyAutoGUI
For the true tinkerers, RealtimeSTT plus a Python script lets you simulate keystrokes. You control every step, can lower latency with your tweaks, but you’ll need to be comfortable with scripting.
RealtimeSTT Guide https://github.com/KoljaB/RealtimeSTT#readme)

- Handy (Free/Libre, offline, Whisper-based, acts as a keyboard)
I’ve read lots of positive feedback on Handy—even though I haven’t tried it myself. The workflow is simple: press a hotkey, speak, and Handy pastes your text in the active app. It’s fully offline, works on X11 and Wayland, and gets strong accuracy thanks to Whisper.
Heads up: Handy lets you pick your own shortcut key, but it actually overrides the keyboard shortcut for start/stop recording. That means it can clash with other tools that depend on major shortcut combos—including Orca’s custom keybindings if you use a screen reader. If your workflow relies on certain shortcuts, this might need adjustment or careful planning before you commit.
GitHub Repo https://github.com/cjpais/Handy) | Demo https://handy.computer)

Real-Time Transcription in a Window (Copy/Paste Workflow)

If you’re okay with speaking into a dedicated app, then copying, these options offer great GUIs and power features:

- Speech Note by @mkiol https://mastodon.social/@mkiol
FLOSS, offline, multi-language GUI app—perfect for quick notes and batch transcription. Not a system-wide keyboard, but super easy to use and works on both desktops and Linux phones.
Flathub https://flathub.org/apps/net.mkiol.SpeechNote | LinuxPhoneApps https://linuxphoneapps.org/apps/net.mkiol.speechnote/)

- WhisperLive (by Collabora)
Real-time transcription in a terminal or window—great for meetings, lectures, and captions. Manual copy/paste required to get the text to other apps.
GitHub Repo https://github.com/collabora/WhisperLive)

More Tools for Tinkerers

If you like building your own or want extra control, check out:
- Vosk: Lightweight, lots of language support. GitHub https://alphacephei.com/vosk/)
- Kaldi: Powerful, best for custom setups. Website https://kaldi-asr.org/)
- Simon: Voice control automation. Website https://simon-listens.org/)
- voice2json: Phrase-level and command recognition. GitHub https://github.com/synesthesiam/voice2json)

Pro Tips

- Desktop Environment: X11 vs. Wayland affects how keyboard hooks and app focus actually operate.
- Ready-Made vs. DIY: If you want plug-and-play, try Speech Note or Handy first. Into automation or customization? RealtimeSTT is perfect.
- Follow the Community: @thorstenvoice offers tons of open-source voice tech insights.

Screen Reader Integration

Looking for robust screen reader support? Linux has you covered:

- Orca (GNOME/MATE): The most customizable GUI screen reader out there. The default voice (eSpeak) is robotic, but you can swap it for something better and fine-tune verbosity so it reads only what matters.
- Speakup: Console-based, ideal for terminal.
- Emacspeak: The solution for Emacs fans.

💡 Orca is part of my daily toolkit. It took time to get the settings just right (especially verbosity!) but it’s absolutely worth it. If you use a screen reader—what setup makes it bearable or even enjoyable for you?

Final Thoughts

If you’re starting from scratch, try Handy for direct typing (just watch those shortcuts if you use a screen reader!) or Speech Note for GUI-based transcription. Both are privacy-friendly, local, and accessible—ideal for everyday Linux use.

Is there a FLOSS gem missing here?
Sharing what works (and what doesn’t!) helps the entire community.

Resources:
Speech Note on Flathub https://flathub.org/apps/net.mkiol.SpeechNote
Handy GitHub https://github.com/cjpais/Handy
Speak to AI Guide https://dev.to/ashbuk/i-built-an-offline-voice-typing-app-for-linux-speak-to-ai-3ab5
RealtimeSTT https://github.com/KoljaB/RealtimeSTT

#Linux #SpeechToText #FLOSS #Accessibility #VoiceKeyboard #ScreenReader #Whisper #Handy #SpeechNote #OpenSource #Community #voicetyping #LocalSTT #TTStools #SpeechRecognition #A11y #Linuxtools #Voicekeyboard #Whisper #Handy #speech-to-text #SpeechNote #review #ScreenReaders #ORCA #FOSS

Free tools for creativity!

#Upscayl, #rembg, #Fooocus, #Whisper, #LLAMA3 by Meta, #Mixtral8x22b, & more: These #opensource, #AI-powered tools make image editing, audio work, transcription, and Large Language Models (#LLMs) exploration fun and easy!

Learn more about these top picks by #FOSS mentor @morrolinux: https://lpi.org/zhya

@LPI #LPI #Tech #AI #freesoftware #MorroLinux #Linux #FOSS #opensource #Upscayl, #rembg, #Fooocus, #Whisper, #LLAMA3, #Mixtral8x22 @openai

🔊 Whisper has a serious challenger: Moshi STT

Developed by the French research lab Kyutai, Moshi STT is a new open-source speech recognition system that’s blazingly fast, highly accurate, and optimized for Apple Silicon and CUDA — all designed with real-time performance in mind.

https://scalastic.io/en/moshi-stt-vs-whisper/

#SpeechToText #Kyutai #Whisper #OpenSource #AI #macOS #Moshi #STT #AppleSilicon #Rust #CUDA

MacWhisper: Mac-App nimmt auf, transkribiert und macht Gesprochenes kopierbar

Die Anzahl der Anwendungen, die Projekte mit Bestandteilen Künstlicher Intelligenz auf den Mac bringen, nimmt seit wenigen Wochen deutlich zu. Auf die zahlreichen Applikationen, die zuerst den KI-Bildgeneratoren Stable Diffusion auf den Mac brachten, folgten erste Menüleisten-Apps, die den schlauen Chat-Bot ChatGPT in der Mac-Menüleiste ablegten. Die Macher des Übersetzungsdienstes DeepL lancierten zwischenzeitlich eine neue […]

https://www.ifun.de/macwhisper-mac-app-nimmt-auf-transkribiert-und-macht-gesprochenes-kopierbar-203817/

#News #ChatGPT #Diktat #Mac #StableDiffusion #Whisper

#Matrix #Omega #Alex7000 #Xoanon #TheMagicMovieMachine #SCAPINA #Orac #Zen #TheOracle #Vanessa38–24–36 #C.O.R.A. #Mentalis #Dr.Theopolis #TheVortex #Gambit #Shyrka #Slave #CML #KITT #KARR #R.A.L.F. #TeletraanI #VectorSigma #BriantheBrain #Compucore #SID #Synergy #Box #LCARS #Albert #Crossover #MagicVoice #OMNSS #Priscilla #Holly #Gordon8000 #Queeg #Hilly #TalkieToaster #TheRevolvingToilet #Sandy #TheUltimaMachine #Ziggy #P.J. #HARDAC #COS #CAS #NICOLE #SELMA #CentSys #MetroNet #H.E.L.E.N. #SharonApple #TheMagiMelchiorBalthasarCaspar #Eve #L.U.C.I-U.N.I.C.E #EmergencyMedicalHologram #Alice #Long-termMedicalHolographicprogram, #VicFontaine, #GilliamII #QuadraplexT-3000Computer #Memorymatic #MPU #Starfighter31 #Computer #P.A.T. #D.E.C.A. #BlackBetty #KarenPlankton #Andromeda #Comp-U-Comp #Caravaggio #C.H.A.D. #GLADIS #CybergirlXandaIsaac #Computer #SAINT #AuraMorganna #Vox #AI #Wirbelwind #Delphi #Sheila/F.I.L.S.S. #OoGhiJMIQtxxXA #XANA #Survive #C.A.R.R. #D.A.V.E. #TheOmnitrix #Solty/Dike #Eunomia #Eirene #Bournemouth #S.O.P.H.I.E. #Scylla #FETCH!3000 #S.A.R.A.H. #TheIntersect #MrSmith #Pear #TheTurk #KITT #POD #ISIS #VenjixVirus #VYVAIVAI #Whisper #Aya #TheMachine #R.A.C.I.S.T. #Samaritan