mlsanigeria/speak-to-docs
Speech-enabled Retrieval-Augmented Generation solution
This project helps anyone who needs to quickly get answers from lengthy documents using their voice instead of reading. You upload your document, speak your question, and receive an audio response. It's ideal for professionals like researchers, legal assistants, or customer service agents who need to interact with dense text hands-free.
No commits in the last 6 months.
Use this if you frequently need to extract specific information or insights from documents by asking questions verbally and prefer to receive spoken answers.
Not ideal if you primarily work with numerical data or structured databases, or if you prefer visual interfaces and text-based interactions for document analysis.
Stars
10
Forks
32
Language
Python
License
MIT
Category
Last pushed
Nov 04, 2024
Commits (30d)
0
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