Quick answer: Transcription software turns audio or video recordings into text, often with timestamps and speaker labels. An AI meeting assistant adds summaries, action items, and tools for organizing and searching meeting history. Choose transcription software when you need a transcript to edit or use elsewhere. Choose a meeting assistant when you need to track decisions, share meeting notes, and manage follow-up. Both categories include tools that accept uploaded recordings.

A continuous paper transcript folded into an architectural sculpture against a cobalt-blue background.

We build note1, an AI meeting assistant. transcript1, our sister project, handles standalone transcription. This guide explains where each type of tool fits, including the work you still need to do yourself.

What AI transcription software does

AI transcription software converts spoken audio into text automatically. Depending on the product, it can also provide timestamps, speaker labels, and subtitle files.

You might use it to transcribe a recorded meeting, prepare an interview for editing, or add captions to a training session. Once you have the text, you choose where it goes: a document, a video editor, your own application, or an AI assistant.

That flexibility is useful when you already have a process for working with transcripts. If you prefer writing your own meeting minutes, for example, you may only need searchable text to check names, dates, and exact wording.

Check the output formats before choosing a service. Plain text works for reading and editing. SRT and VTT files contain timing information for subtitles. JSON is useful when you're building transcription into an application.

Speaker labels also deserve a closer look. Separating "Speaker 1" from "Speaker 2" helps you follow a conversation, but you may still need to identify those people yourself.

What an AI meeting assistant adds

An AI meeting assistant uses the transcript to help you review the meeting and follow up. Look for features that match the work you currently do by hand:

Recording scheduled calls.
Generating AI meeting notes with decisions and unresolved questions.
Extracting action items with owners.
Finding information across previous meetings.
Sharing meeting records with the right people.

Consider a weekly client call. A transcript lets you look up what the client said. A meeting assistant can also help you find the agreed delivery date, review who promised to send the revised proposal, and check whether the scope changed in a later conversation.

Those features matter when several people depend on the meeting record. Someone who missed the call needs a recap. The project lead needs the decisions. The person doing the work needs the task and its context.

In note1, meeting summaries, action items, and transcripts stay together. Ask note1 lets you ask questions about past meetings and check the transcript moments behind the answers.

You should still review important commitments. A suggestion discussed during a call can sound like an agreed task, and an incorrect speaker name can put work on the wrong person.

When transcription alone is enough

Standalone transcription makes sense when getting the text completes most of the job.

You might have an occasional recording to review, need subtitles for an internal presentation, or want to analyze a transcript using an AI tool you already use. You may also be building a workflow that needs speech-to-text through an API.

This is where transcript1 fits. Its audio-to-text workflow lets you upload a recording in the dashboard and download the completed transcript. You can use the text in your own documents or keep JSON for structured processing.

For a discussion with several people, turn on speaker identification. It labels voices as Speaker 1, Speaker 2, and so on. Review the recording to map those labels to names; the labels do not identify people or carry identities between recordings.

If the recording will become a training video, SRT and VTT subtitle exports give you timed text to load into your editor or player. Developers can use the audio and video transcription API to add file transcription to an existing application.

transcript1 produces the transcript. If you want a summary or extracted tasks, ask your AI assistant to work with that text. Keep the original recording if you need it for later playback: transcript1 deletes uploaded media 24 hours after the transcription reaches a final status.

For someone who already has a preferred editor, assistant, or automation, that can be enough.

When a meeting assistant is worth it

A meeting assistant becomes more useful when you repeatedly do work after transcription: writing recaps, extracting tasks, sending follow-ups, and searching old conversations.

Imagine doing that for ten meetings a week. Even with accurate transcripts, you still have to organize the records and help other people find what matters.

A meeting workspace gives that work a consistent home. Before the next client call, you can review earlier decisions rather than hunt through separate documents. After a team meeting, colleagues can check the summary and open the original conversation when something needs clarification.

You can also use a meeting assistant with recordings you already have. Both note1 and transcript1 accept uploads. In note1, an imported recording becomes a meeting with a searchable transcript, summary, and action items.

Choose based on what you want to do with the recording, regardless of which tool captured it. Meeting transcription may be the whole task for one recording and the starting point for another.

A quick way to choose

What you need	What to look for
A transcript to read, edit, or quote	Transcription software with usable text exports
Captions for a recording	Transcription software with SRT or VTT export
Speech-to-text inside your own application	A transcription API
Meeting capture, summaries, and follow-up	An AI meeting assistant
Answers drawn from several past meetings	A meeting assistant with cross-meeting search and source references
Shared meeting history for a team	A meeting assistant with appropriate access controls

There is overlap between the categories. Some transcription products generate summaries, and some meeting assistants offer APIs. Check how a specific product handles your work rather than relying on its label.

Compare the included minutes, recording-length limits, export access, and retention period for the plan you would use. Account for any separate AI subscription or manual work your process needs afterward.

Try one recording that represents your usual meetings. Check whether the transcript gets names and technical terms right, whether you can find the passage you need, and how much work remains afterward.

For a standalone transcript, convert a recording to text with transcript1. To keep the conversation, decisions, and follow-up together, bring a recording into note1.