How to search inside video - not just find the file

01

The four levels of video retrieval

• Asset metadata: title, date, project, contributor and filename.
• Lexical transcript search: exact words and phrases.
• Semantic retrieval: ideas expressed with different vocabulary.
• Temporal grounding: the precise source range that answers the question.

Each level solves a different recall problem. Metadata is excellent when the editor knows the production. Exact search is essential for names and quotations. Semantic search helps when the editor knows the idea but not the words.

A search result without a source range is a document hit. An editor needs a moment.

02

Index speech with time attached

The transcript is not a text sidecar that happens to belong to a video. It is the bridge between a query and a frame range. Word-level timing supports exact navigation; speaker labels help separate voices; stable source identities keep results traceable as the archive grows.

Store the surrounding segment as well as the matched sentence. Editors need to see qualifications, questions and preceding claims before accepting a result.

03

Turn the buyer question into a search plan

First narrow the recordings by customer, event, date and topic using your existing source records. Then write the question the edit needs to answer. This keeps a large collection from becoming an invitation to search for anything that sounds persuasive.

This is a research example, not a customer result. Break the question into clues you can look for in the shortlisted transcripts:

• Known terms: the product name, team name or exact phrase remembered from the interview. Use these when locating a specific exchange.
• Alternative wording: try “setup”, “migration”, “training” or “getting started” separately. A speaker may describe the work without saying “implementation”.
• Evidence needed: look for an actual task, who performed it and the condition or obstacle attached to it. A mention of “easy setup” alone does not answer the question.

In a system with semantic retrieval, the full question can help find differently worded passages. In literal transcript search, use the shorter terms and inspect nearby text. Pasting a long editorial question into a filename filter or an exact text search does not give that interface semantic understanding.

Keep the question fixed while varying the wording. Otherwise it is easy to replace a difficult buyer question with an easier one merely because the footage contains a memorable answer.

04

Diagnose an empty or unhelpful result

“Nothing found” describes a search attempt, not necessarily the recording. Check the cause before deciding the evidence is absent.

• Wrong search scope: confirm that you are searching transcript text in the intended recording, rather than a filename or a different session.
• Different wording: try a shorter phrase or a related term; then read the complete exchange. Do not keep adding terms until an unrelated match looks relevant.
• Transcript uncertainty: if you know the passage exists, listen to the source around that point. Names, abbreviations or unclear speech may not appear as expected in the transcript.
• Visual evidence: a chart or demonstration may carry information that nobody says aloud. Inspect the recording when the answer depends on what is shown; transcript search alone cannot establish it.
• Missing evidence: if the shortlisted recordings do not answer the question, record the gap. Choose another relevant source, narrow the proposed claim or defer that edit.

A superficially relevant result can be just as unhelpful as no result. A speaker mentioning migration is not evidence of a smooth migration, a particular timeframe or a commercial outcome.

05

Evaluate search with editorial measures

Traditional relevance is not enough. Score whether the result is usable in an edit:

• Did the system retrieve the necessary claim and its qualification?
• Is the proposed start clean without changing meaning?
• Can a reviewer reach the original recording immediately?
• Does the result identify the speaker and source?
• Can several results be compared without losing chronology?

Keep a short record of useful candidates and rejected matches. This is a suggested research record for your existing document or spreadsheet, not an automated Anjin feature.

A shortlist means the passage deserves consideration. Before publication, the editorial review checklist covers source fidelity, current claims, intended-use approval and the exact finished video.

06

What this means in Anjin today

The published archive documentation describes listing source groups, reading a selected group’s timed transcript and filtering its text. Its search example matches a phrase in transcript segments; it is not a whole-library semantic-search endpoint. A transcript that is not ready returns a readiness error, not an empty search result.

For composition, explicitly choose one to four ready source groups. The plan keeps source-group references and timecodes for checking selections. Anjin does not autonomously discover and clear the entire archive for the brief. See cuts across groups for the documented boundary.

Use the shortlist to choose those recordings and explain what the edit must establish. If several passages are needed, check that their relationship supports the conclusion rather than simply sharing a keyword. The B2B campaign guide helps turn supported evidence into a specific editorial job; the archive-to-content workflow follows selected recordings through to an edit.

QUESTIONS

Common questions