The Problem
Most tools give you a transcript for a single file. FrameQuery gives you searchable, timestamped, speaker-identified transcripts across your entire library.
How It Works
Every word is timestamped. Jump to the exact moment a phrase was spoken.
Automatic speaker detection labels who said what.
Name your speakers and search with @syntax. '@Sarah quarterly targets' finds only Sarah's comments on that topic.
Wrap phrases in quotes for exact matches. Search '"budget approval"' to find those exact words in sequence.
Beyond Words
Dialogue tells you what was said. Object detection, scene descriptions, and face recognition tell you what was on screen at the time.
See what was in frame when something was said. Find 'product mention' clips where the product is in frame.
Scene descriptions record the setting, whether an interview setup, a presentation, or a casual conversation.
See who is on screen as well as who is speaking. Match voices to faces across your library.
Export
Export transcript search results directly to your NLE. Each result carries its timecode range, and clips land on your timeline at that point.
EDL and FCPXML import for timelines and color workflows.
Premiere XML export that imports as bins.
Native FCPXML support. Open results as a new event.
Pricing
Every plan includes the full feature set.
Free
Free
Search only
Starter
$19/mo
10 hrs of video/mo
Pro
$45/mo
50 hrs of video/mo
Max
$190/mo
300 hrs of video/mo
Larger archive? Book a call
FAQ
Yes. Automatic speaker diarization detects distinct speakers and labels each transcript segment. You can name speakers for @mention search.
Yes. Wrap any phrase in quotes to find exact matches. Search '"annual review"' to find those exact words in sequence.
Yes. Transcripts are stored in your local search index. Searching happens entirely on your device.
Transcript search covers spoken content. For videos without dialogue, scene descriptions and object detection make the visual content searchable.
Transcription quality depends on audio clarity. Clean audio from dedicated microphones produces highly accurate results. Noisy environments or distant audio may reduce accuracy.