Amberscript: Audio and video to text service offering automatic and human-verified transcripts and subtitles. 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 Amberscript when transcribing interviews, research, and media for accurate records 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.
Audio and video to text service offering automatic and human-verified transcripts and subtitles.
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.
Amberscript is a speech-to-text service that converts audio and video into text and subtitles, offering both automatic AI transcription and human-verified options. Users upload recordings and choose between editable automatic transcripts produced by speech recognition or expert-reviewed transcripts refined by professional editors for higher accuracy. The platform similarly provides subtitles in either automated or professionally edited form, including translation services, and offers a transcript editor for reviewing and correcting output. Amberscript supports a large number of languages and additionally provides a speech-to-text API and data annotation services, as well as a meeting transcription offering for capturing and converting spoken meetings into text. The combination of self-serve automatic transcription and a human-review tier lets users trade off speed against accuracy depending on the use case. Amberscript is aimed at researchers, media organizations, businesses, and public-sector users who need reliable transcripts and subtitles, including those with accuracy or accessibility requirements that justify human-reviewed output rather than automation alone. Pricing varies by plan. Check the official website for current pricing.
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
Amberscript 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 | Amberscript | joinly |
|---|---|---|
| Core capability | Automatic AI transcription of audio and video | MCP server that exposes meeting tools (join/leave, transcript, chat, audio control, snapshots) to AI agents |
| Standout feature | Human-verified transcript and subtitle option for higher accuracy | Real-time transcription with timestamps and speaker information, subscribable for live updates |
| Team usage | Subtitle generation and translation services | Cross-platform support for Google Meet, Zoom, Microsoft Teams, and browser-based calls |
| Integrations | Transcript editor for reviewing and correcting output | Modular speech-to-text and text-to-speech backends (Whisper, Deepgram, Kokoro, ElevenLabs) |
| Languages & capture | Speech-to-text API and meeting transcription support | Model-agnostic: works with OpenAI, Anthropic, and local LLMs via Ollama |
| Best-fit workflow | Automatic AI transcription of audio and video | Docker-based self-hosting with optional CUDA GPU image |
Amberscript
Choose Amberscript if you need transcribing interviews, research, and media for accurate records — strengths include choice between fast automatic and accurate human-reviewed output.
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.
Amberscript
joinly
It depends on your workflow. Amberscript is strong for transcribing interviews, research, and media for accurate records, while joinly is strong for building custom ai meeting agents that answer questions and run tasks during live calls. Both transcribe and summarize meetings.
Amberscript 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.
Yes. Many teams run more than one meeting assistant when the workflows are complementary.
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