Semantic Search — Find by Meaning, Not Keywords
Search your transcriptions using natural language. Our AI understands context and finds relevant passages even when exact words differ.
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How Semantic Search Works
Vector Embeddings
Your transcript is converted into mathematical vectors that capture meaning, not just words.
Natural Query
Search using questions or phrases in natural language. No special syntax needed.
Relevant Results
Get passages ranked by semantic similarity, finding content that matches your intent.
Semantic Search Features
Meaning-Based Search
Find "budget discussion" even if the word "budget" is never mentioned - find "finances", "costs", "spending" instead.
Natural Language Queries
Ask questions like "What did they agree on?" or "When is the deadline?" and get relevant passages.
Context Understanding
Understands synonyms, related concepts, and contextual meaning automatically.
Timestamped Results
Each search result links to the exact moment in the audio for instant playback.
Cross-Transcript Search
Search across multiple transcriptions at once to find related content.
Highlight Matches
Relevant passages are highlighted with context for easy scanning.
Search Examples
Finds: revenue, profit, budget, costs, spending
Finds: action items, to-do, follow-up, tasks
Finds: worries, issues, problems, risks
Finds: opinions, thoughts, suggestions, input
Frequently Asked Questions
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