Local Dictation Software
What this article covers
- Converting speech to text with local AI
- Voice commands and correction features that work well
- Integrating dictation into text editors
- Hardware, microphones, and common pitfalls
- Privacy advantages over cloud services
Introduction: Local dictation software
Dictating is faster than typing when you need to create longer texts, emails, or notes. Local dictation software captures your voice, converts it to text using speech-to-text, and applies corrections and commands. Everything stays on your machine, which matters especially for sensitive content.
With Whisper or faster-whisper, you can build a simple dictation tool. Add a language model for post-processing and formatting commands, and you have a practical solution for writers, doctors, lawyers, and anyone who writes a lot.
Why use local dictation software?
- Faster than typing: Most people speak quicker than they write.
- Ergonomic: Less strain on hands and eyes.
- Privacy: Audio never leaves your device.
- Flexible: Define your own commands and word lists.
- Offline: Works without internet.
Key terms
- Dictation: Speaking text out loud.
- STT: Speech-to-text.
- Punctuation: Automatic insertion of punctuation marks.
- Voice command: Instructions like “new paragraph” or “comma”.
- Word list: Custom terms the model should recognize.
- VAD: Voice Activity Detection.
- Buffer: Temporary storage for audio segments.
Components of a dictation system
- Microphone: Captures audio.
- VAD: Detects when speech is happening.
- STT Engine: Whisper or faster-whisper.
- Command recognition: Transforms commands into actions.
- Text correction: Model fixes punctuation and proper nouns.
- Output: Text gets inserted into your application.
Voice commands
Useful commands for dictation:
- “Period” or “full stop”
- “Comma”
- “New paragraph”
- “Capitalize”
- “Open bracket” and “close bracket”
- “Quote”
- “Delete” or “undo”
These commands are recognized as text, then converted to the corresponding characters.
Tools and setup
- faster-whisper: For fast transcription.
- Python with pyaudio: Microphone input.
- pyperclip or keyboard: Send text to clipboard or application.
- Small LLM: For correction and formatting.
Example workflow:
- Microphone is monitored.
- When speech is detected, an audio segment is recorded.
- STT generates text.
- Commands are interpreted.
- Text is cleaned and output.
Integrating with text editors
Options:
- Clipboard: Text is copied, you paste it.
- Keyboard emulation: Text is typed directly.
- API: Connect to Notion, Obsidian, or Word.
- Browser extension: Dictate into input fields.
Hardware requirements
- Microphone: A quality headset or USB microphone.
- CPU: Whisper Small runs in real time on modern processors.
- GPU: Optional, speeds up larger models.
- RAM: 8 GB minimum.
Tips for good dictation
- Speak clearly and at a steady pace.
- Choose a quiet environment.
- Pronounce commands distinctly.
- Store technical terms in your word list.
- Take a moment to review after dictating.
Common pitfalls
- Incorrect commands get written down: Recognition needs to be robust.
- Background noise: Degrades accuracy.
- Missing punctuation: Model lacks punctuation ability.
- Domain-specific terms: General models don’t know specialized vocabulary.
- Speaking too fast: Reduces accuracy.
Further reading and resources
- BotServ.de Speech-to-text models
- BotServ.de AI-powered voice applications
- BotServ.de Local voice assistant
FAQ: Local dictation software
Can I dictate using local AI? Yes, with Whisper and a simple application.
Do I need a graphics card? No, small models run fine on CPU.
How fast is the conversion? Nearly real-time with faster-whisper.
Can I define custom commands? Yes, configure them in the application.
Is it compliant with privacy regulations? Yes, since everything is processed locally.
Sources and further reading
- faster-whisper: https://github.com/SYSTRAN/faster-whisper
- Whisper: https://github.com/openai/whisper
Summary: Local dictation software
Local dictation software converts speech to text quickly and privately. With faster-whisper, a microphone, and simple commands, you can dictate emails, notes, and documents. Good audio quality, clear voice commands, specialized word lists, and seamless integration with your text editor matter most. Running it locally gives you complete control over sensitive content.


