What Is the Difference Between Local AI Dictation, Transcription, and Voice Conversation?

September 28, 2026 · By Michel Valenzuela, Founder of Daryl

Dictation turns speech into text as you speak. Transcription creates a written record of audio. Voice conversation adds an AI response to what you say.

These experiences can share speech-recognition technology, but they serve different purposes.

If you are choosing a local AI tool, understanding the distinction helps you find the right experience and check which parts actually run on your computer.

Daryl is being developed around personal conversation and support for decisions on Mac. That direction should not be confused with a promise of meeting recording or comprehensive transcription features.

What is local AI dictation?

Local dictation recognises speech on your device and converts it into text.

You might use it to compose a paragraph, enter a note, or write a message without typing every word.

The immediate output is the text you said. An application may also offer punctuation, formatting, or editing features, but those need their own assessment.

Dictation does not necessarily involve a conversational AI model.

It can simply provide another way to enter words.

What is local AI transcription?

Local transcription converts audio into written text using processing on your device.

The audio could come from an existing recording or a live input, depending on the application.

A transcription tool may offer timestamps or speaker labels. Those are separate capabilities, and their availability and accuracy vary.

Transcription also differs from summarisation.

A transcript records what was said. A summary selects and condenses information. If an application offers both, check where each stage is processed.

What is a local AI voice conversation?

A voice conversation goes beyond recognising words.

The application receives your speech, processes the request, and returns an answer. If spoken playback is enabled, you can hear the response too.

You might say:

“I have two possible approaches to this project. Help me compare them using the constraints I’m about to explain.”

The application needs to handle the content of that request, rather than only produce a transcript.

For a fully local experience, the required recognition, AI processing, and spoken-output components need to operate on your device.

How do the three experiences compare?

A product may combine them. Supporting one does not establish support for all three.

Does local dictation mean the AI response is local?

No.

An application can recognise your speech on the device and send the resulting text to a remote AI service.

Your recording may remain local while the content of what you said leaves the computer.

The reverse arrangement is also possible: cloud speech recognition followed by local response generation.

Check the complete path. Processing location needs to be understood at each stage.

Can these features work offline?

They can when the necessary components are installed and the application supports the workflow offline.

Dictation needs an available local speech-recognition system.

Transcription also needs access to the audio file or input.

Voice conversation requires local response generation and, if used, local spoken playback.

Downloads, activation, updates, and optional online features may have separate connectivity requirements.

Test the exact task you intend to rely on while disconnected.

Do they store my voice recordings?

That depends on the application.

Some workflows may retain audio. Others may keep only recognised text or process audio without preserving a recording.

Ask separately about:

• Audio recordings.
• Transcripts.
• Conversation history.
• Selected memory or context.
• Diagnostic information.

Deleting a transcript may not remove a separately retained recording. The controls should explain what each action covers.

Which should I use for writing?

Choose dictation if your main objective is getting spoken words into a document or note.

If you also want feedback, ask whether the application provides a separate editing or conversational capability.

You might dictate a rough paragraph, inspect the recognised text, and then ask an AI to examine its structure.

That involves two different tasks. Check the processing and storage arrangements for both.

Which should I use for reviewing a meeting?

Transcription may be relevant if you are authorised to record or process the audio and need a written record.

Check support for the recording format, language, timestamps, and any speaker-identification requirements.

Review the output carefully. Names, figures, and commitments can be misrecognised.

A tool suitable for short dictation should not be assumed to handle a long, multi-speaker recording reliably.

Which should I use for thinking through a decision?

A conversational assistant is the relevant category.

It needs to interpret the situation, respond to clarifications, and help you examine the question.

You may still prefer typing for exact figures or reviewing a complex comparison. Voice and text can serve different parts of the same discussion.

The useful experience gives you a way to correct what was heard and what was understood.

Where does Daryl fit?

Daryl is a personal AI for Mac, currently in development, designed around local conversation and support for decisions.

Voice is central to that intended experience because I want people to be able to explain a situation naturally. Typing remains part of the interaction.

That does not establish meeting transcription, recording management, or automatic summaries as released features.

Supported voice languages, processing behaviour, and retention controls will be described as they are verified.

The distinction matters: someone who wants a written record of a recording needs a different workflow from someone who wants to discuss what to do next.

Begin with the result you need

Before choosing a voice tool, ask what you want to receive.

Your own words on the page? A record of an audio file? A response that helps you examine an idea?

Then check the application against that task, including where it processes the information and what it retains.

That gives you a clearer basis for choosing a tool you can actually use.