Scriberr and Typist 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. 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, 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 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.
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
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
Scriberr 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.
Local, offline transcription using Whisper models via the WhisperX engine
Audio and video to text transcription across many file formats
Standout feature
Automatic speaker diarization (who said what)
Export to SRT subtitles, WebVTT captions, DOCX, PDF, and TXT
Team usage
AI summaries with custom prompts via Ollama or OpenAI-compatible providers
Multiple transcription models trading off speed and accuracy
Integrations
Chat with your transcripts to ask questions and pull insights
Speaker identification on the highest-accuracy tier
Languages & capture
Built-in audio recorder and note-taking on transcripts
Word-level and segment-level timestamps for clean subtitle timing
Best-fit workflow
Folder watcher and API endpoints for automation workflows
Support for a wide range of languages and accents
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.
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
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
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 Scriberr or Typist 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 Typist is strong for transcribing recorded interviews and research or client calls. Both transcribe and summarize meetings.
How do Scriberr and Typist compare on price?
Scriberr 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 Scriberr and Typist?
Yes. Many teams run more than one meeting assistant when the workflows are complementary and the budget is justified.