Vizard: Vizard is an AI video tool that transcribes audio and video into searchable, editable text in 30+ languages while automatically detecting highlights and turning long recordings into short clips. 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. The right pick comes down to team size, budget, and the workflows you want to automate.
How Hosiqo compares and tests toolsFinal recommendation
Shortlist Vizard when transcribing podcasts, webinars, or recorded videos into editable, searchable text matters most, and joinly when self-hosted, privacy-first real-time meeting transcription for regulated teams matters most. Trial each on a few real meetings before you commit — the better fit usually shows fast.
Vizard is an AI video tool that transcribes audio and video into searchable, editable text in 30+ languages while automatically detecting highlights and turning long recordings into short clips.
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.
Vizard is a multimodal AI video platform whose transcription engine converts uploaded audio and video into searchable, editable text. Users can transcribe files from their computer, paste a YouTube link, or import Zoom recordings, then read and edit the result like a document. The tool supports 30+ languages including English, Spanish, French, German, Japanese, Korean, Mandarin, Portuguese, Hindi, and Arabic, and lets users export transcripts as .SRT or .TXT files. Beyond plain transcription, Vizard analyzes the recording to identify key moments and highlights, auto-generate captions and subtitles, and produce short, social-ready clips with smart titles. Its transcript-based editor lets you trim footage, cut bad takes, and remove silences simply by deleting words. Vizard is aimed primarily at content creators, podcasters, marketers, coaches, and agencies who repurpose long-form video, but the transcription and Zoom-import features also serve anyone needing voice-to-text. It offers a team workspace for collaboration, brand templates, and caption translation into many additional languages.
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
Vizard 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 | Vizard | joinly |
|---|---|---|
| Core capability | AI transcription of audio and video into searchable, editable text in 30+ languages | MCP server that exposes meeting tools (join/leave, transcript, chat, audio control, snapshots) to AI agents |
| Standout feature | Imports from computer uploads, YouTube links, and Zoom recordings | Real-time transcription with timestamps and speaker information, subscribable for live updates |
| Team usage | Transcript-based editing - cut footage by deleting words, remove silences and bad takes | Cross-platform support for Google Meet, Zoom, Microsoft Teams, and browser-based calls |
| Integrations | Automatic highlight/chapter and key-clip detection from long recordings | Modular speech-to-text and text-to-speech backends (Whisper, Deepgram, Kokoro, ElevenLabs) |
| Languages & capture | Auto-generated captions and subtitles with translation into many languages | Model-agnostic: works with OpenAI, Anthropic, and local LLMs via Ollama |
| Best-fit workflow | Transcript export to .SRT and .TXT, plus team workspace collaboration | Docker-based self-hosting with optional CUDA GPU image |
Vizard
Choose Vizard if you need transcribing podcasts, webinars, or recorded videos into editable, searchable text — strengths include transcribes both audio and video and supports a wide range of languages.
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.
Vizard
joinly
It depends on your workflow. Vizard is strong for transcribing podcasts, webinars, or recorded videos into editable, searchable 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.
Vizard 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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