Video to Knowledge Base

NoParrot

8.8

on-prem open source diarization Featured

On-prem audio memory infrastructure — diarized, MCP-native, 100% local. Wins on privacy and agent-readiness.

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Score breakdown

Weighted by our published rubric. Overall: 8.8/10.

Accuracy (WER) 20%
9
Privacy / on-prem 20%
10
Diarization 10%
9
RAG / agent-readiness 20%
10
Integrations 10%
9
Pricing / value 10%
6
Ease of use 10%
6

Pros & cons

Pros

  • 100% on-prem — audio never leaves your servers
  • MCP-native + 5 vector-DB connectors (RAG/agent ready)
  • Speaker diarization (pyannote) built in
  • WhisperX large-v3, ~3% WER

Cons

  • Requires an NVIDIA GPU (Apple Silicon/MPS on the roadmap)
  • Higher setup effort than a cloud SaaS

Single source of truth: every figure on this profile (WER, RTF, connector count, test count) must match NOPARROT_LANDING_BRIEF.md §3 and the current build. Re-verify before publishing any number.

NoParrot turns any audio/video archive into a diarized, topic-routed, agent-ready knowledge layer — entirely on your own hardware. WhisperX (large-v3) transcription, pyannote diarization, AI naming/topic classification, five vector-DB connectors and a native MCP server let any agent (Claude, ChatGPT, Cursor) query your audio memory without sending data to the cloud.

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