Adobe Podcast: A web-based Adobe studio that records and transcribes audio, then lets you edit it by editing the transcript text. 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. Below, they line up on price, capture method, and how each fits a real meeting stack.
How Hosiqo compares and tests toolsFinal recommendation
Shortlist Adobe Podcast when transcribing a recorded interview or conversation and editing it down by editing the text matters most, and joinly when self-hosted, privacy-first real-time meeting transcription for regulated teams matters most. Run both through a week of actual calls to see which suits your workflow.
A web-based Adobe studio that records and transcribes audio, then lets you edit it by editing the transcript text.
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.
Adobe Podcast is a browser-based audio recording, transcription, and editing tool from Adobe. Its Studio records high-quality audio solo or with remote guests, capturing each participant as an individual track, then transcribes every word using the same transcription engine as Adobe Premiere Pro. The result is a text-based editing workflow: once a recording is transcribed, you cut, copy, paste, and delete words in the transcript and the corresponding audio (or video) is edited to match, so you edit sound like a document. It supports speaker detection to automatically label different speakers in the transcript. Beyond editing, it includes Enhance Speech to remove background noise and echo, and Mic Check, an AI analysis that diagnoses microphone problems before recording. It is aimed primarily at podcasters and creators producing spoken-word audio and video, but its transcription, speaker labeling, and voice-to-text capabilities make it usable for turning any recorded conversation into editable text. Adobe Podcast runs in the browser, with full Studio recording and editing officially supported in desktop Google Chrome.
Best suited for
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
Adobe Podcast is a free tier with paid upgrades (freemium); joinly is a free tier with paid upgrades (freemium). Always confirm current pricing on each vendor's site before buying.
| Feature | Adobe Podcast | joinly |
|---|---|---|
| Core capability | Word-for-word transcription using the same engine as Adobe Premiere Pro | MCP server that exposes meeting tools (join/leave, transcript, chat, audio control, snapshots) to AI agents |
| Standout feature | Text-based audio/video editing: delete transcript text to cut the corresponding media | Real-time transcription with timestamps and speaker information, subscribable for live updates |
| Team usage | Speaker detection to automatically identify and label speakers in the transcript | Cross-platform support for Google Meet, Zoom, Microsoft Teams, and browser-based calls |
| Integrations | Studio recording of solo or remote-guest sessions with each participant on a separate track | Modular speech-to-text and text-to-speech backends (Whisper, Deepgram, Kokoro, ElevenLabs) |
| Languages & capture | Enhance Speech to remove background noise and echo from voice recordings | Model-agnostic: works with OpenAI, Anthropic, and local LLMs via Ollama |
| Best-fit workflow | Mic Check AI analysis to diagnose microphone issues before recording | Docker-based self-hosting with optional CUDA GPU image |
Adobe Podcast
Choose Adobe Podcast if you need transcribing a recorded interview or conversation and editing it down by editing the text — strengths include transcript-driven editing makes cutting and rearranging spoken audio fast and intuitive.
joinly
Choose joinly if you need building custom ai meeting agents that answer questions and run tasks during live calls — strengths include fully open source (mit) and self-hostable for complete data control.
Adobe Podcast
joinly
It depends on your workflow. Adobe Podcast is strong for transcribing a recorded interview or conversation and editing it down by editing the text, while joinly is strong for building custom ai meeting agents that answer questions and run tasks during live calls. Both transcribe and summarize meetings.
Adobe Podcast 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.
Sure. Running both makes sense when their strengths don't overlap and the budget allows.
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