Speakr and Typist are both AI meeting assistants for recording, transcription, and summaries, compared here on pricing, features, and workflow fit. Speakr: Self-hosted web app for transcribing meeting recordings with diarization, summaries, action items, per-recording chat, and library-wide semantic search. Typist: AI speech-to-text service that converts audio and video into text and exports captions, with tiered models for speed or accuracy. They overlap on ai-meeting-assistants, so the right pick depends on team size, budget, and which meeting workflows you automate.
For ai-meeting-assistants workflows, shortlist Speakr when privacy-conscious teams self-hosting transcription and summaries for internal meetings matters most, and Typist when transcribing recorded interviews and research or client calls matters most. Both record across Zoom, Google Meet, and Microsoft Teams; trial each on real meetings before committing.
Self-hosted web app for transcribing meeting recordings with diarization, summaries, action items, per-recording chat, and library-wide semantic search.
Configurable AI models compatible with OpenAI, OpenRouter, and local modelsCustomizable summaries plus an action-items view for decisions and tasksMulti-user support with SSO, group workspaces, and admin dashboard
AI speech-to-text service that converts audio and video into text and exports captions, with tiered models for speed or accuracy.
Audio and video to text transcription across many file formatsExport to SRT subtitles, WebVTT captions, DOCX, PDF, and TXTMultiple transcription models trading off speed and accuracy
Speakr is a free tier with paid upgrades (freemium); Typist is a free tier with paid upgrades (freemium). Always confirm current pricing on each vendor's site before buying.
Self-hosted transcription with automatic language detection
Audio and video to text transcription across many file formats
Standout feature
Optional AI-powered speaker diarization
Export to SRT subtitles, WebVTT captions, DOCX, PDF, and TXT
Team usage
Customizable summaries plus an action-items view for decisions and tasks
Multiple transcription models trading off speed and accuracy
Integrations
Per-recording chat and an Inquire Mode for semantic search across the whole library
Speaker identification on the highest-accuracy tier
Languages & capture
System and browser-tab audio capture
Word-level and segment-level timestamps for clean subtitle timing
Best-fit workflow
Multi-user support with SSO, group workspaces, and admin dashboard
Support for a wide range of languages and accents
Best for
Speakr
Choose Speakr if you need privacy-conscious teams self-hosting transcription and summaries for internal meetings — strengths include runs entirely on the user's own infrastructure for full data control.
Typist
Choose Typist if you need transcribing recorded interviews and research or client calls — strengths include clean subtitle exports (srt and webvtt) that import into video editors.
Pros & cons
Speakr
+ Runs entirely on the user's own infrastructure for full data control
+ Action-item extraction and per-recording chat go beyond plain transcripts
- Current releases are alpha-stage and may not be production-stable
Typist
+ Clean subtitle exports (SRT and WebVTT) that import into video editors
+ Choice of models lets users prioritize speed or accuracy per job
- Speaker identification is limited to the top tier
FAQ
Is Speakr or Typist better for AI meeting notes?
It depends on your workflow. Speakr is strong for privacy-conscious teams self-hosting transcription and summaries for internal meetings, while Typist is strong for transcribing recorded interviews and research or client calls. Both transcribe and summarize meetings.
How do Speakr and Typist compare on price?
Speakr is a free tier with paid upgrades and Typist 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 Speakr and Typist?
Yes. Many teams run more than one meeting assistant when the workflows are complementary and the budget is justified.