The phrase "AI transcription service" now encompasses a remarkably diverse range of products: real-time desktop dictation apps, meeting note-takers, batch file transcription services, podcast transcription tools, browser extensions, and API platforms for developers. Calling them all "AI transcription services" is a bit like calling a motorcycle and a semi-truck both "vehicles." They share a category, but they serve very different purposes.
If you are looking for an AI transcription service for your Mac workflow, the first step is identifying exactly what you need. This guide walks through the key categories and helps you find the right fit.
Category 1: Live Desktop Dictation
Live dictation is what most individual Mac users actually need: a way to speak into any application and have their words appear as text in real time. This is for composing emails, writing documents, sending Slack messages, and capturing notes.
The defining characteristics of a good live dictation service are:
- Low latency (text appears within two seconds of finishing a sentence)
- System-wide availability (works in every app, not just specific ones)
- Hold-to-speak or push-to-talk control (not always-on listening)
- High accuracy on your specific accent and vocabulary
- Minimal setup and no ongoing manual configuration
Steno is purpose-built for this category on Mac. It lives in the menu bar, responds to a global hotkey, and delivers text to your cursor anywhere on the system. Download it at stenofast.com.
Category 2: Meeting Transcription
Meeting transcription services focus on capturing multi-speaker conversations in real time during video calls or in-person meetings. They need to handle overlapping speech, identify different speakers, and produce a structured transcript with timestamps and speaker labels.
These tools are distinct from dictation apps because they are designed for passive recording rather than active input. You do not hold a key and speak — the tool runs in the background listening to your meeting and producing a full transcript afterward. Popular services in this category include Otter.ai, Fireflies.ai, and various video conferencing integrations.
Meeting transcription and live dictation serve different purposes and are often used together by the same user.
Category 3: Batch File Transcription
Batch file transcription takes audio files — recorded interviews, podcast episodes, lecture recordings — and returns a text transcript. You upload the file, wait for processing (usually a few minutes per hour of audio), and download the result. This category values accuracy and processing speed over real-time performance.
Services like Descript, Sonix, and various cloud APIs serve this use case. They are not useful for live dictation but are excellent for transcribing archival recordings.
Category 4: Developer APIs
Developer-facing AI transcription services provide programmatic access to speech-to-text models via REST APIs. Developers use these to add transcription features to their own applications. If you are not a developer building a product, this category is not directly relevant to you, though it is worth understanding because many consumer apps in other categories are built on top of these APIs.
How to Evaluate Any AI Transcription Service
Accuracy on Your Voice
Published accuracy numbers are measured on standardized test datasets that may not represent your accent, speaking style, or vocabulary. Always test with your own voice. Speak a few sentences in your natural style and see how many errors appear in the output. For most users, three to five minutes of testing reveals everything they need to know about whether a service will work for them.
Domain Vocabulary
If you work in a specialized field, test the service on domain-specific terms. A medical professional should test medical terminology. A software engineer should test technical jargon. A lawyer should test legal language. These are where most services differ most from each other.
Latency for Live Use
For live dictation, anything over three seconds of delay is disruptive. The best services return results in under two seconds for a typical sentence. Test this actively — speak a sentence and measure how long you wait.
Integration with Your Workflow
Does the service work in the applications you actually use? A service that only works in one specific app is much less useful than one that integrates system-wide. For Mac users, this means checking whether the tool works in native apps, Electron apps, and web browsers simultaneously.
Privacy and Data Handling
Understand where your audio goes. For professional content, check whether the service retains audio or transcripts, uses your data for model training, and complies with relevant privacy regulations. Most reputable services have clear privacy policies that address these questions directly.
Pricing
AI transcription services are priced in various ways: per minute of audio transcribed, monthly subscription with usage limits, or flat monthly subscription with unlimited usage. For heavy daily dictation users, per-minute pricing can add up quickly. For occasional users, per-minute is often cheaper. Calculate your expected monthly usage before comparing prices.
What Makes Steno Different as an AI Transcription Service
Steno is focused specifically on live desktop dictation for Mac and iPhone. It is not trying to be a meeting transcription tool or a batch file service — it is optimized for the use case of speaking into your Mac and having accurate text appear wherever your cursor is.
This focus matters. It means the user interface is designed for the dictation workflow — a menu bar icon, a hotkey, and that is it. There is no dashboard to navigate, no file to upload, no transcript window to manage. You dictate, and the text appears. That simplicity is what makes it genuinely integrate into a daily workflow rather than being a tool you use occasionally.
The best AI transcription service for your needs is the one you actually use every day — not the one with the most features.