Koji and Loka Note are both AI meeting assistants for recording, transcription, and summaries, compared here on pricing, features, and workflow fit. Koji: AI-native customer research platform whose AI interviewer runs voice and text discovery conversations at scale, then synthesizes themes automatically. Loka Note: AI meeting notes tool built for Nigerian users, transcribing and summarizing conversations across English, Hausa, Yoruba, and Nigerian Pidgin. 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 Koji when running exploratory discovery interviews without scheduling live calls matters most, and Loka Note when capturing client meetings conducted in mixed english and nigerian languages matters most. Both record across Zoom, Google Meet, and Microsoft Teams; trial each on real meetings before committing.
AI-native customer research platform whose AI interviewer runs voice and text discovery conversations at scale, then synthesizes themes automatically.
AI interviewer that runs asynchronous voice and text discovery conversations at scaleAI research agent that drafts research goals and interview guides from a briefAutomatic per-interview analysis with key moments and sentiment
AI meeting notes tool built for Nigerian users, transcribing and summarizing conversations across English, Hausa, Yoruba, and Nigerian Pidgin.
Action item extraction and structured summariesAsk Loka natural-language chat over past meeting transcriptsBrowser-based recording with no bot, app, or plugin required
Koji is a free tier with paid upgrades (freemium); Loka Note is a free tier with paid upgrades (freemium). Always confirm current pricing on each vendor's site before buying.
AI interviewer that runs asynchronous voice and text discovery conversations at scale
Transcription and summaries with support for English, Hausa, Yoruba, and Nigerian Pidgin
Standout feature
AI research agent that drafts research goals and interview guides from a brief
Handling of code-switching between languages within a conversation
Team usage
Automatic per-interview analysis with key moments and sentiment
Browser-based recording with no bot, app, or plugin required
Integrations
Cross-interview synthesis into study-wide themes, patterns, and recommendations
Capture of both remote calls and in-person meetings
Languages & capture
Insights traceable back to specific participant quotes
Action item extraction and structured summaries
Best-fit workflow
MCP integrations with Claude, ChatGPT, Cursor, and Notion
Ask Loka natural-language chat over past meeting transcripts
Best for
Koji
Choose Koji if you need running exploratory discovery interviews without scheduling live calls — strengths include removes scheduling overhead by running many interviews in parallel and asynchronously.
Loka Note
Choose Loka Note if you need capturing client meetings conducted in mixed english and nigerian languages — strengths include strong support for nigerian languages including mixed-language speech.
Pros & cons
Koji
+ Removes scheduling overhead by running many interviews in parallel and asynchronously
- AI-moderated async format is less suited to deep rapport-driven live interviews
Loka Note
+ Strong support for Nigerian languages including mixed-language speech
+ Works without a bot joining the call, which suits confidential discussions
- Language focus is tailored to Nigeria rather than broad global coverage
FAQ
Is Koji or Loka Note better for AI meeting notes?
It depends on your workflow. Koji is strong for running exploratory discovery interviews without scheduling live calls, while Loka Note is strong for capturing client meetings conducted in mixed english and nigerian languages. Both transcribe and summarize meetings.
How do Koji and Loka Note compare on price?
Koji is a free tier with paid upgrades and Loka Note 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 Koji and Loka Note?
Yes. Many teams run more than one meeting assistant when the workflows are complementary and the budget is justified.