Riverside and Typist are both AI meeting assistants for recording, transcription, and summaries, compared here on pricing, features, and workflow fit. Riverside: Browser-based podcast and video recording studio with AI transcription, captions, and text-based editing that also handles interviews and remote meetings. 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 Riverside when transcribing and captioning recorded podcast episodes and video interviews 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.
Browser-based podcast and video recording studio with AI transcription, captions, and text-based editing that also handles interviews and remote meetings.
AI clip generation for short-form social videoAI-generated transcripts with automatic speaker detection and labelingCaption and subtitle export in SRT and VTT formats
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
Riverside 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.
AI-generated transcripts with automatic speaker detection and labeling
Audio and video to text transcription across many file formats
Standout feature
Transcription support across more than 100 languages
Export to SRT subtitles, WebVTT captions, DOCX, PDF, and TXT
Team usage
Caption and subtitle export in SRT and VTT formats
Multiple transcription models trading off speed and accuracy
Integrations
Text-based editing that lets users cut and rearrange recordings by editing the transcript
Speaker identification on the highest-accuracy tier
Languages & capture
Local high-quality recording of each participant's audio and video track
Word-level and segment-level timestamps for clean subtitle timing
Best-fit workflow
AI clip generation for short-form social video
Support for a wide range of languages and accents
Best for
Riverside
Choose Riverside if you need transcribing and captioning recorded podcast episodes and video interviews — strengths include records each participant locally, producing cleaner audio and video than typical call recording.
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
Riverside
+ Records each participant locally, producing cleaner audio and video than typical call recording
+ Combines recording, transcription, captions, and editing in a single browser-based tool
- Designed around recorded sessions rather than live meeting note-taking in tools like Zoom or Teams
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 Riverside or Typist better for AI meeting notes?
It depends on your workflow. Riverside is strong for transcribing and captioning recorded podcast episodes and video interviews, while Typist is strong for transcribing recorded interviews and research or client calls. Both transcribe and summarize meetings.
How do Riverside and Typist compare on price?
Riverside 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 Riverside and Typist?
Yes. Many teams run more than one meeting assistant when the workflows are complementary and the budget is justified.