Is Descript or joinly better for AI meeting notes?

It depends on your workflow. Descript is strong for editing podcasts and videos by editing the transcript, while joinly is strong for building custom ai meeting agents that answer questions and run tasks during live calls. Both transcribe and summarize meetings.

How do Descript and joinly compare on price?

Descript is a free tier with paid upgrades and joinly is a free tier with paid upgrades. Check each vendor's pricing page for the latest plans and free-tier limits.

Can I use both Descript and joinly?

Sure. Running both makes sense when their strengths don't overlap and the budget allows.

Home/Descript vs joinly

Descript vs joinly

Descript: Video/podcast editor with transcription and meeting recording joinly: Open-source, self-hostable connector that lets AI agents join Google Meet, Zoom, and Microsoft Teams calls to transcribe, listen, and act in real time via MCP. Which one wins depends on your platform mix, budget, and how hands-off you want notes to be.

How Hosiqo compares and tests tools

Final recommendation

Shortlist Descript when editing podcasts and videos by editing the transcript matters most, and joinly when self-hosted, privacy-first real-time meeting transcription for regulated teams matters most. Test each on your own meetings; the right choice tends to become obvious quickly.

Descript

CustomAI Meeting Assistants

Video/podcast editor with transcription and meeting recording

Automatic transcription of imported or recorded audio and videoMultitrack audio and video editingOne-click caption and subtitle generation

Details Visit

joinly

CustomAI Meeting Assistants

Open-source, self-hostable connector that lets AI agents join Google Meet, Zoom, and Microsoft Teams calls to transcribe, listen, and act in real time via MCP.

Cross-platform support for Google Meet, Zoom, Microsoft Teams, and browser-based calls

About Descript

Descript is an audio and video editing platform built around text-based editing, where the spoken content of a recording is automatically transcribed and the resulting transcript becomes the primary way to edit the media. When users import or record audio and video, Descript generates a transcript that they can read, search, and edit, with changes to the text reflected in the underlying recording. The platform also offers one-click caption and subtitle generation so the transcribed words can be displayed on screen and styled to match a project. In addition to transcription and captions, Descript provides features for podcast and video production, including multitrack editing, screen recording, and AI-assisted tools. Because editing the transcript edits the media, it is especially useful for podcasters, video creators, and teams who want to cut filler, rearrange segments, or repurpose content without working frame by frame. Descript is aimed at content creators, marketers, educators, and teams who want transcription, captions, and editing combined in a single workflow. Pricing varies by plan. Check the official website for current pricing.

Best suited for

Editing podcasts and videos by editing the transcript
Generating captions and subtitles for published content
Producing searchable transcripts from recorded sessions

About joinly

joinly is an open-source middleware project (by joinly-ai) that makes meetings accessible to AI agents. It runs as a Model Context Protocol (MCP) server that equips any agent with the tools to join a live video call, capture a real-time transcript, and interact by voice or chat during the meeting. Rather than being a finished notetaker app, joinly is a framework developers use to build interactive meeting agents that can listen, answer, search the web, draft documents, and post chat messages while the meeting is in progress. It works cross-platform across Google Meet, Zoom, and Microsoft Teams (and browser-based calls), and is model-agnostic, supporting OpenAI, Anthropic, and local models through Ollama. Speech-to-text and text-to-speech are modular, with Whisper or Deepgram for transcription and Kokoro, ElevenLabs, or Deepgram for synthesis. The project is MIT licensed and deployed via Docker (with a separate CUDA GPU image), giving teams full data sovereignty. The MCP server exposes join/leave controls, transcript and participant access, audio control, chat messaging, and video snapshots, making it a building block for custom, privacy-first meeting automation. Pricing varies by plan. Check the official website for current pricing.

Best suited for

Building custom AI meeting agents that answer questions and run tasks during live calls
Self-hosted, privacy-first real-time meeting transcription for regulated teams
Automating in-meeting actions such as web research, note-taking, and follow-up drafting

Feature	Descript	joinly
Core capability	Automatic transcription of imported or recorded audio and video	MCP server that exposes meeting tools (join/leave, transcript, chat, audio control, snapshots) to AI agents
Standout feature	Text-based editing where editing the transcript edits the media	Real-time transcription with timestamps and speaker information, subscribable for live updates
Team usage	One-click caption and subtitle generation	Cross-platform support for Google Meet, Zoom, Microsoft Teams, and browser-based calls
Integrations	Multitrack audio and video editing	Modular speech-to-text and text-to-speech backends (Whisper, Deepgram, Kokoro, ElevenLabs)
Languages & capture	Screen and audio recording built in	Model-agnostic: works with OpenAI, Anthropic, and local LLMs via Ollama
Best-fit workflow	Automatic transcription of imported or recorded audio and video	Docker-based self-hosting with optional CUDA GPU image

Descript vs joinly

About Descript

About joinly

Pricing comparison

Feature table

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Pros & cons

FAQ

Is Descript or joinly better for AI meeting notes?

How do Descript and joinly compare on price?

Can I use both Descript and joinly?

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