Scriberr and Speechmatics are both AI meeting assistants for recording, transcription, and summaries, compared here on pricing, features, and workflow fit. Scriberr: Open-source, self-hosted AI audio transcription app that runs Whisper models locally with speaker diarization, summaries, and chat-with-transcript. Speechmatics: Speech-to-text and voice AI provider offering real-time transcription and live captioning APIs. They overlap on ai-meeting-assistants, ai-transcription, so the right pick depends on team size, budget, and which meeting workflows you automate.
For ai-meeting-assistants, ai-transcription workflows, shortlist Scriberr when privacy-conscious teams transcribing meeting and interview recordings on their own infrastructure matters most, and Speechmatics when adding live captions to broadcasts, sports, and events matters most. Both record across Zoom, Google Meet, and Microsoft Teams; trial each on real meetings before committing.
Open-source, self-hosted AI audio transcription app that runs Whisper models locally with speaker diarization, summaries, and chat-with-transcript.
AI summaries with custom prompts via Ollama or OpenAI-compatible providersAutomatic speaker diarization (who said what)Built-in audio recorder and note-taking on transcripts
Speech-to-text and voice AI provider offering real-time transcription and live captioning APIs.
Scriberr vs Speechmatics: Pricing, Features & Recommendation | Hosiqo
APIs for embedding transcription into other applicationsLive captioning for events, broadcasts, and streamsLow-latency real-time processing for live use
Scriberr is a free tier with paid upgrades (freemium); Speechmatics is a free tier with paid upgrades (freemium). Always confirm current pricing on each vendor's site before buying.
Local, offline transcription using Whisper models via the WhisperX engine
Speech-to-text transcription for recorded and real-time audio
Standout feature
Automatic speaker diarization (who said what)
Low-latency real-time processing for live use
Team usage
AI summaries with custom prompts via Ollama or OpenAI-compatible providers
Live captioning for events, broadcasts, and streams
Integrations
Chat with your transcripts to ask questions and pull insights
Multi-speaker and multilingual support across many languages
Languages & capture
Built-in audio recorder and note-taking on transcripts
APIs for embedding transcription into other applications
Best-fit workflow
Folder watcher and API endpoints for automation workflows
Speech-to-text transcription for recorded and real-time audio
Best for
Scriberr
Choose Scriberr if you need privacy-conscious teams transcribing meeting and interview recordings on their own infrastructure — strengths include fully self-hosted and offline, keeping audio and transcripts on your own hardware.
Speechmatics
Choose Speechmatics if you need adding live captions to broadcasts, sports, and events — strengths include real-time, low-latency transcription suitable for live captioning.
Pros & cons
Scriberr
+ Fully self-hosted and offline, keeping audio and transcripts on your own hardware
+ MIT-licensed and free to run with no per-minute charges
- Active development was publicly paused by the maintainer, relying on community contributions
Speechmatics
+ Real-time, low-latency transcription suitable for live captioning
+ Broad language and multi-speaker coverage
- Primarily a developer-facing engine rather than a ready-made app
FAQ
Is Scriberr or Speechmatics better for AI meeting notes?
It depends on your workflow. Scriberr is strong for privacy-conscious teams transcribing meeting and interview recordings on their own infrastructure, while Speechmatics is strong for adding live captions to broadcasts, sports, and events. Both transcribe and summarize meetings.
How do Scriberr and Speechmatics compare on price?
Scriberr is a free tier with paid upgrades and Speechmatics 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 Scriberr and Speechmatics?
Yes. Many teams run more than one meeting assistant when the workflows are complementary and the budget is justified.