Comparison

FrameQuery vs Reduct

Two different approaches to video search. Reduct excels at cloud-based transcript collaboration; FrameQuery searches what you see, hear, and say — all locally.

TL;DR

Choose Reduct if your workflow is built around transcript editing, highlight reels, and real-time team collaboration on spoken content. It supports 90+ transcription languages and is purpose-built for UX research teams.

Choose FrameQuery if you need to search beyond words — finding specific scenes, faces, or objects in your footage. It runs locally, works offline, supports 50+ pro formats, and starts at a lower price point.

Feature comparison

FeatureFrameQueryReduct
Search typeMultimodal (visual + transcript + face + object)Transcript-based (NLP / fuzzy matching)
DeploymentLocal-first desktop appCloud-only web app
Offline capable
Transcription languages50+90+
Visual / scene search
Face recognition
Object detection
Real-time collaboration
Highlight reels
Format support50+ formats incl. RAWCommon web formats
PricingFrom $9/mo (usage-based)$15–50/editor/month
Data privacyProxies deleted after processing; index is localUploaded to Reduct cloud

Where Reduct shines

Reduct.video is an excellent tool built specifically for transcript-driven workflows. Its document-style transcript editor lets teams highlight, tag, and clip recordings as naturally as editing a text document.

  • Real-time collaborative transcript editing with multiple team members
  • Highlight reels assembled directly from transcript selections
  • 90+ language transcription with NLP-powered fuzzy search
  • Purpose-built for UX research, customer interviews, and meeting analysis

Where FrameQuery shines

FrameQuery takes a fundamentally different approach: instead of limiting search to transcripts, it indexes the visual content of every frame alongside audio and metadata.

  • Multimodal search across visual scenes, faces, objects, and transcripts simultaneously
  • Local-first architecture—only proxies are uploaded for processing and deleted immediately after. Your search index lives locally.
  • Works offline with no cloud dependency
  • Supports 50+ professional formats including RED R3D, ProRes, and camera-native RAW
  • Usage-based pricing from $9/mo—pay for what you index, not per seat

Who should choose which?

Choose Reduct if you…

  • Work primarily with spoken content (interviews, meetings, podcasts)
  • Need real-time collaboration on transcripts with a team
  • Build highlight reels from transcript selections
  • Focus on UX research or qualitative analysis

Choose FrameQuery if you…

  • Need to search for visual content, not just words spoken
  • Work with professional or RAW video formats
  • Require local-first privacy or offline access
  • Want usage-based pricing instead of per-seat costs

Frequently asked questions

What is the main difference between FrameQuery and Reduct?

Reduct focuses on cloud-based transcript search with collaboration features, while FrameQuery is a local-first desktop app that searches visual content, faces, objects, and transcripts together. If you need to search what you see on screen—not just what was said—FrameQuery is the better fit.

Is Reduct or FrameQuery better for UX research?

For pure UX research workflows, Reduct has purpose-built features like highlight reels, real-time transcript collaboration, and team annotation tools. FrameQuery is a stronger choice when you also need to search for on-screen actions, UI states, or facial expressions in your research recordings.

Can FrameQuery replace Reduct for transcript search?

FrameQuery includes full transcript search, but it does not offer Reduct’s collaborative editing or highlight-reel features. If transcript search is your only need and you work in a team, Reduct may be the better tool. If you also need visual search or prefer keeping files local, FrameQuery is worth evaluating.

Which is cheaper, FrameQuery or Reduct?

FrameQuery starts at $9/month with usage-based pricing. Reduct starts at $15/editor/month and scales to $50/editor/month for advanced features. For solo users and small teams, FrameQuery is typically more cost-effective.

Ready to search your footage?

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