Why Keyword Search is Dead for Voice Notes
Stop searching for the exact words you spoke weeks ago. CHELA uses advanced AI embeddings to understand the meaning and context of your voice logs, enabling true semantic search.
Turn Talk into TasksStop losing brilliant ideas.
Never miss a citation or a breakthrough idea. Chela organizes hours of research audio and
lectures into a searchable knowledge base, perfect for your thesis or dissertation.
Why Chela? Because generic tools miss the nuance. We specialize in
Research Assistant.
Recent Brain Dumps
That app idea about connecting local...
"Mom mentioned she wanted that garden tool from the hardware store."
Did a 20 minute run, felt pretty good...
Total Recall for Your Work Life.
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"What did the client say about the budget?"
Search for "client name" or "budget" three weeks later and find the exact audio clip.
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Turn rambling into reports.
Chela structures your unstructured thoughts into clear, readable notes and action items.
Frequently Asked Questions
What are audio embeddings?
Embeddings are multi-dimensional mathematical representations of concepts. Instead of indexing words, we index the underlying meaning of your sentences, allowing for context-aware search.
Why is this better than traditional keyword search?
Because human speech is messy. We frequently use synonyms, lose our train of thought, or face transcription errors. Semantic search finds what you meant, not just what you said literally.
Does it work with multiple languages?
Yes. Because embeddings map concepts to a universal vector space, you can often search in English for a voice note you originally recorded in Spanish.
Is it fast?
Extremely. CHELA uses highly optimized vector databases capable of searching through thousands of hours of your personal audio logs in milliseconds.
Work smarter, not harder.
Transform your voice into your most powerful productivity tool.
Get Chela for Free