Thoughts on video and search

FrameQuery Team10 April 2026

Searching Broadcast Archives: Making Decades of News Footage Findable

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.

FrameQuery Team10 April 2026

How to Search Video by Scene Description Instead of Filename

Filenames tell you nothing about what is in a clip. Scene descriptions generated by AI let you search your footage the way you think about it: by what is happening, how it looks, and what mood it conveys.

FrameQuery Team10 April 2026

Video Object Detection vs Manual Tagging: Speed, Accuracy, and Scale

Manual tagging gives you control but does not scale. Automated object detection scales effortlessly but misses nuance. Here is how each approach works, where each one wins, and why the best results come from combining both.

FrameQuery Team9 April 2026

How to Search Video by What Appears on Screen

Transcript search finds what was said. Object detection finds what was shown. For B-roll, product shots, and any footage without dialogue, searching by visible objects is the only way to find what you need without scrubbing.

FrameQuery Team9 April 2026

How Video Scene Detection Breaks Footage Into Searchable Segments

A 30-minute clip might contain 50 distinct shots. Scene detection identifies each transition and turns every segment into a searchable unit with its own description, objects, and metadata. Here is how it works.

FrameQuery Team9 April 2026

What Is AI Video Search and How Does It Work

AI video search makes the actual content of your footage findable. How it differs from filename search, the four modalities that power it, and why the index lives on your machine.

How to Find Every Clip of a Specific Person Across Hours of Footage

Whether it is a talent pull, a compliance check, or an edit request, finding every appearance of one person across a large footage library is one of the most time-consuming tasks in post-production. Here is how face recognition changes the workflow.

How to Search Inside Videos Without Re-Watching Them

Video files are invisible to your operating system's search. Here are four approaches to making video content searchable, from manual logging to AI-powered multimodal indexing.

Speaker Diarization vs Transcription: What Is the Difference

Transcription tells you what was said. Diarization tells you who said it. Most tools only do the first part. Here is why the second part matters just as much for video search.

Video Library Organization: From Folder Chaos to Instant Search

Organization and search are different problems. You do not need a perfect folder structure to find footage instantly. Here is how content-based search bypasses years of organizational debt.

FrameQuery Team7 April 2026

Best Video Search Tools for Professional Editors in 2026

A practical comparison of video search approaches for editors: NLE built-in search, cloud DAMs, transcript tools, and AI multimodal search. What each searches, where data lives, and what the trade-offs are.

FrameQuery Team7 April 2026

Build vs Buy: Should You Build Your Own Video Search or Use an API

Building video search from scratch means wiring together transcription, object detection, scene analysis, face recognition, a search engine, and format decoding. Here is what that actually involves and when it makes sense.

FrameQuery Team6 April 2026

AI Video Search Without Uploading Your Footage to the Cloud

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.

FrameQuery Team6 April 2026

How to Search Training Videos Across Your Organization

Training video libraries grow fast and nobody can find anything in them. Transcript search, speaker diarization, and scene detection make training content findable by topic, instructor, and demonstration.

FrameQuery Team5 April 2026

How to Make Your Video Transcripts Searchable With Timestamps

Having a transcript and having a searchable transcript are different things. Searchable means indexed, timestamped at word level, linked to video playback, and filterable by speaker.

FrameQuery Team5 April 2026

Video Metadata Search: Finding Footage by Date, Format, Resolution, and More

Video files carry two types of metadata: technical facts about the file itself and AI-generated descriptions of what is inside. Combining both in a single search turns a broad query into a precise one.

FrameQuery Team4 April 2026

Best Tools for Searching a Video Library in 2026

From spreadsheets to AI-powered search engines, here is an honest comparison of every approach to finding footage in a large video library, with the trade-offs of each.

FrameQuery Team4 April 2026

How News Teams Search Footage Archives Under Deadline Pressure

Breaking news requires pulling archive footage in minutes, not hours. AI-powered local search makes transcript, face, and scene queries instant, even against years of broadcast archives.

FrameQuery Team3 April 2026

Video Asset Management Software: What It Is and When You Need It

Enterprise DAMs start at $500 to $2,000 per month and solve problems many teams do not have. Here is what video asset management software actually does, when you need it, and when a search-first alternative makes more sense.

FrameQuery Team3 April 2026

Video Object Detection Use Cases for Editors and Producers

Object detection is not just a technical feature. It solves real problems for editors tracking products, producers finding props, and teams reviewing footage for compliance. Here are the use cases that matter.

FrameQuery Team2 April 2026

AI Video Search for Enterprise: Managing Thousands of Internal Videos

Enterprise video libraries grow fast and become unsearchable faster. AI video search turns scattered training videos, meeting recordings, and product demos into a findable archive.

FrameQuery Team2 April 2026

Speaker Diarization Accuracy: What Affects Results and How to Get the Best Output

Speaker diarization is not perfect, and pretending otherwise does not help anyone. Here is what affects accuracy, what you can realistically expect, and how to get the best results from your recordings.

FrameQuery Team1 April 2026

Corporate Video Management Without a Full DAM System

DAM platforms solve the video organization problem, but they are expensive and complex. For many organizations, adding AI-powered search to existing storage is a better fit.

FrameQuery Team1 April 2026

How to Search Video by Content Instead of Filename

A001_C003.MOV tells you nothing. Neither does DJI_0047.MP4. Content-based search means typing what you remember and finding the exact moment. Here is how the shift from filename to content retrieval works.

FrameQuery Team31 March 2026

How Accurate Is AI Video Search? Setting Realistic Expectations

AI video search is powerful, but it is not perfect. An honest look at accuracy across transcription, object detection, scene descriptions, and face recognition, and how combining modalities compensates for individual weaknesses.

FrameQuery Team31 March 2026

How to Search Your Video Library by Dialogue and Spoken Words

Automatic transcription with word-level timestamps and speaker diarization turns your footage library into something you can search by dialogue. Here is how transcript-first search works in practice.

Technology5 min read

Why We Chose Rust and Tauri Over Electron for a Video Desktop App

Electron ships a whole browser. Tauri ships a native webview. For a video application that needs to decode RAW formats and manage large libraries, that difference matters more than you might think.

FrameQuery Team31 March 2026

FrameQuery Team30 March 2026

Video Scene Analysis: How AI Understands What Is Happening in Your Footage

Scene analysis turns raw footage into searchable content by detecting shot boundaries and generating natural language descriptions of what each shot contains. Here is how the process works and why it matters for editors.

Workflows3 min read

Getting Started With a Video Search API: A Developer Guide

A practical guide to integrating video search into your application. RESTful endpoints, four search modalities, authentication, and a walkthrough of the upload-process-search workflow.

FrameQuery Team30 March 2026

FrameQuery Team29 March 2026

How AI Video Search Is Changing Post-Production Workflows

Editors spend 30 to 60 percent of their time just finding footage. AI video search compresses the find-and-pull phase from hours to seconds, reshaping the entire post-production workflow.

FrameQuery Team29 March 2026

How to Tag and Categorize Video Without Manual Data Entry

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.

FrameQuery Team28 March 2026

How Video Indexing Works: From Raw Footage to Searchable Library

Video indexing turns opaque media files into searchable data through five steps: file detection, local frame and audio extraction, multi-modal analysis, local index building, and instant search. Here is what happens at each stage.

FrameQuery Team28 March 2026

How to Search Through Hours of Screen Recordings and Tutorials

Screen recordings of meetings, tutorials, product demos, and webinars pile up fast. Transcript search finds what was said, and scene detection spots when the screen changed, so you can jump to the right segment without re-watching.

FrameQuery Team27 March 2026

How to Build a Searchable Video Library From Scratch

A step-by-step guide to turning scattered footage into a searchable video library. Choose your storage, point FrameQuery at your folders, process, and start finding clips by what is actually in them.

FrameQuery Team27 March 2026

Video Transcript Search: Find Any Spoken Word Across Your Entire Library

Video transcript search turns spoken words into searchable text with word-level timestamps. How automatic transcription, BM25 ranking, and speaker diarization make every sentence in your footage findable.

How to Use Advanced Search Operators to Find the Right Clip Faster

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.

How to Filter Video Search Results by Date, Duration, or Resolution

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.

Technology5 min read

5 Minutes, 2 Lines of Rust, Measurably Less Memory: Our mimalloc Migration

Swapping the global allocator to mimalloc took two lines of Rust. Combined with release profile tuning and AVX2 targeting, the gains were substantial for almost no effort.

Technology8 min read

Making SQLite Fly as a Desktop Video Database

SQLite powers FrameQuery's video library, search indexes, and biometric data. Here is how we tuned it from a single mutex bottleneck to a concurrent, trigger-maintained, full-text-searchable backend.

Technology7 min read

From 500 Threads to Sanity: Taming Concurrency in a Rust Video Pipeline

Tokio's spawn_blocking pool can grow to 500 threads. For CPU-bound video decoding, that is a problem. Here is how we replaced it with bounded concurrency, structured cancellation, and lock-free primitives.

Technology7 min read

Why Our Thumbnails Were Secretly Lossless (and How We Fixed It)

The image crate's WebP encoder ignores the quality parameter and always outputs lossless. We found out the hard way, and rebuilt the entire thumbnail pipeline while we were at it.

Technology7 min read

Zero-Copy GPU Decoding on Every Platform

CUDA pinned buffers on Windows, Metal unified memory on macOS, Vulkan compute shaders for ProRes RAW. How FrameQuery decodes professional video formats without unnecessary memory copies.

AI Video Search vs Manual Tagging: Why Automation Wins at Scale

Manual tagging produces excellent metadata, but it takes longer than most teams can afford. AI video search covers the same ground in minutes. Here is where each approach works best.

Product4 min read

Introducing Projects: Workspace-Level Organization for Your Video Library

When you manage footage for multiple clients, everything in one flat list stops working. Projects give you scoped workspaces that filter your entire library, from videos and sources to search and dashboard stats.

From Shoot to Selects in Minutes: Searching Multicam Interview Footage

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

Video Object Detection Explained: How AI Finds Things in Your Footage

Object detection identifies specific things in your footage: cars, laptops, dogs, products, furniture. Here is how it works, what it can find, and why it matters for editors who need to search by what appears on screen.

FrameQuery Team24 March 2026

Corporate Video Management: A Complete Guide for Growing Libraries

Corporations produce hundreds of videos that end up buried on shared drives. The problem is not organization. It is that nobody can search what is inside the videos themselves.

FrameQuery Team24 March 2026

How to Search Your Video Library Without an Internet Connection

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.

FrameQuery Team23 March 2026

How to Search Video Footage by Color

Sometimes you need a shot with a specific color palette. A warm golden hour clip, a blue-toned interior, or a high-contrast black and white scene. Color-based search finds shots by their dominant visual tone.

FrameQuery Team23 March 2026

Video Content Search: How to Find Clips by What Is Inside Them

Most video search is metadata search: filenames, dates, folders. Content search looks inside the video itself, across dialogue, visuals, objects, and people. Here is how it works and why it changes everything.

FrameQuery Team22 March 2026

How to Organize Terabytes of RED and Blackmagic Footage Without Transcoding

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.

FrameQuery Team22 March 2026

What Is Speaker Diarization and Why Does It Matter for Video

Speaker diarization identifies who is speaking at every moment in a recording. Combined with transcription, it turns a flat block of text into a structured, searchable conversation attributed to specific people.

FrameQuery Team21 March 2026

How to Search a Video Library With Thousands of Clips

File browsers were not designed for video at scale. Here is why growing footage libraries become unsearchable and how local AI indexing makes thousands of clips feel like a handful.

FrameQuery Team21 March 2026

How to Search Video by Who Said What

Transcript search finds the words. Speaker diarization identifies who said them. Combined, they let you search for specific statements by specific people across your entire footage library.

Product6 min read

A Video Editor's Guide to BIPA, GDPR, and Facial Recognition Compliance

If your video tools use face or voice recognition, privacy laws apply. What BIPA, GDPR, and other regulations mean for video teams, in plain English.

FrameQuery Team19 March 2026

Product5 min read

What Is Semantic Video Search? A Plain-English Guide for Editors

Semantic search understands what you mean, not just what you type. How it works for video, why it matters, and what it changes about your editing workflow.

FrameQuery Team13 March 2026

FrameQuery Team8 March 2026

FCPXML Export Explained: Moving Search Results Directly Into Your Timeline

Search your footage, find the clips you need, and drop them straight into your NLE timeline. How FrameQuery's FCPXML export bridges the gap between search and edit.