Dimension scores are derived from public data and fields; weighted into the composite. Reference only.
kAInban is not positioned as a general-purpose chatbot, but as an AI tool for turning meeting recordings into a work kanban. After users upload or record .m4a/.mp3/.wav files, the system uses Whisper to transcribe the meeting, then GPT extracts tasks, owners, deadlines, blockers, and dependencies, finally placing them into an Inbox, Kanban board, or Tasks list. Its key design choice is that every task links back to the original transcript segment and timestamp, making it easy to verify before trusting the output.
The page states that transcription is powered by Azure OpenAI Whisper. In real-world use with clean audio, accuracy is around 95%, though noise and accents can reduce performance. AI extraction takes about 12 seconds on average, making it suitable for quickly generating follow-up to-dos after meetings. The Kanban view fits standups and task triage, while the Tasks list is better for dense processing once there are more than 30 items. Features such as the Cmd-K command palette, filters, and project-based grouping are clearly aimed at keyboard-heavy power users. It also supports a PWA mobile experience, with browser recording based on MediaRecorder.
The Free plan is free and requires no credit card, including up to 3 projects, unlimited tasks, and 5MB uploads. Pro costs $19/month and adds unlimited projects, 50MB uploads, priority AI processing, daily AI suggestions, collaboration, and email/chat support. Team costs $49/month and adds 200MB uploads, Zitadel SSO + SCIM, custom integrations, SLA, audit logs, and on-premise deployment. The project is open source under AGPL-3.0 and can be self-hosted with Docker Compose, but you need to provide your own OpenAI/Azure key.
The main advantage is its tightly focused workflow: recording, transcription, extraction, verification, and kanban placement form a complete loop. Source citations help reduce AI hallucinations and incorrect extraction. Self-hosting, Zitadel authentication, Passkey support, and encryption at rest are also friendly to teams that care about data control. The downsides are that the Free plan’s 5MB upload limit is rather small, and Chinese transcription/interface support is not specified. AI results still require human review. It also depends on OpenAI/Azure services, so network conditions and compliance requirements will affect real-world adoption.
It is suitable for meeting-heavy founders, operations leads, project managers, and engineering teams, as well as organizations that want to automatically archive meeting action items into an internal kanban. The source text does not disclose access from mainland China, payment methods, or hosted-service connectivity, so china_access can only be considered unknown. If access or compliance is constrained, the more realistic route is to self-host and configure usable Azure/OpenAI services, or consider an alternative combination of local speech recognition and an internal project management system.
⚠ This review is compiled from public sources and does not constitute a purchase recommendation. Verify all facts on the vendor's official site. Verify on kainban.com official site.
kainban.com is an Unknown AI Apps provider. TG4G tracks its product information, an overall rating of 7.0/10, and a China-accessibility score of Workable. Click "Visit Official Site" to reach kainban.com directly.