Workflows articles

Play RED R3D, Blackmagic RAW and ProRes RAW files in FrameQuery. Free local playback, Open with support and browsing from scanned folders.

Meetings, demos, and training modules pile up into hundreds of unsearchable hours. Transcript, speaker, and scene search jump to the moment inside the file.

Compare video search tools for your footage library: Premiere, Resolve, FrameQuery, Iconik, Frame.io, and transcript tools. Search features, storage, and costs.

How FrameQuery automatically syncs boom and camera tracks using BWF timecode and acoustic fingerprinting, even when AGC mangles the camera signal.

Broadcast stations sit on decades of archive footage that is barely catalogued. Retroactive AI indexing makes old footage valuable again without requiring a migration or re-tagging project.

A 30-minute clip might contain 50 shots. Scene detection finds each transition and turns every shot into a searchable segment with its own description, objects and metadata.

AI video search indexes the content of your footage. How it differs from filename search, the four modalities behind it, and why the index lives on your machine.

Finding every appearance of one person across a large footage library is one of the slowest tasks in post-production. Face recognition turns it into a search.

Transcription records what was said. Diarization records who said it. Most transcription tools skip the second step, and multi-speaker search depends on it.

Organization and search are different problems. Content search finds footage in a library that was never reorganized, and lets you fix the folders on your own schedule.

Building video search means wiring together transcription, object detection, scene analysis, face recognition, a search engine and format decoding. When that makes sense.

Most AI video search tools require uploading your originals. FrameQuery keeps your footage local, extracts only frames and audio on your device for cloud analysis, and runs all biometric processing on-device.

Video files carry two kinds of metadata: technical facts about the file and AI-generated descriptions of what is inside. Combining both in one search narrows a broad query to a short list.

Breaking news means pulling archive footage in minutes. Local AI search makes transcript, face, and scene queries instant across years of broadcast archives.

Enterprise DAMs start at $500 to $2,000 per month and solve problems many teams do not have. What video asset management software does, what it costs, and when a search tool is enough.

Speaker diarization accuracy depends on audio quality, overlap, speaker count, and microphone setup. What to expect from real recordings and how to improve them.

Accuracy of AI video search across transcription, object detection, scene descriptions and face recognition, and how combining modalities covers the gaps.

Integrating video search into an application. RESTful endpoints, four search modalities, authentication, and a walkthrough of the upload-process-search workflow.

Manual tagging is the gold standard for organizing video, but nobody has time to watch and tag thousands of clips by hand. AI-generated metadata gives you searchable categories automatically.

Basic keyword search gets you started. Exact phrases, @mentions, exclusions, and boolean operators get you to the specific clip you need in a library of thousands.

A search query might return hundreds of results. Narrowing by when it was shot, how long it is, or what resolution it was captured at turns a broad search into a precise one.

Eight hours of multicam interview footage. Multiple cameras, multiple subjects. Pull your selects in minutes instead of spending a full day scrubbing timelines.

Object detection labels the things in your footage: cars, laptops, dogs, products, furniture. How it works, what it can find, and where it helps an editor searching by what is on screen.

Corporations produce hundreds of videos that end up buried on shared drives where nobody can search what is inside them. How AI search makes an existing library findable.

Cloud-based video tools stop working when you are offline. A local search index means you can search your entire footage library from an airplane, a remote set, or anywhere else without a connection.

Most video search is metadata search: filenames, dates, folders. Content search indexes the footage itself, across dialogue, visuals, objects and people. How it works and where it applies.

R3D and BRAW files don't need to be transcoded before you can search and organize them. A practical workflow for cinema camera shooters who want a searchable archive without the intermediate files.

Speaker diarization identifies who is speaking at every moment in a recording. With transcription, it turns a block of text into a conversation attributed to named people.

How FrameQuery's FCPXML export puts search results on a Final Cut Pro, DaVinci Resolve or Premiere Pro timeline, with handles, file paths and clip metadata.

Turn years of accumulated footage into a private, searchable archive on your own drives. The index is local, and search runs with no storage subscription.

From finding B-roll in seconds to building searchable archives, here are five ways teams are planning to use FrameQuery in their daily work.