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TalkToPapers - namuan/dr-doc-search: Converse with book - Built with GPT-3
dr-doc-search lets users converse with a book in PDF form using GPT-3.

About TalkToPapers - namuan/dr-doc-search: Converse with book - Built with GPT-3
dr-doc-search is an open source Python tool that enables conversational Q&A with content from PDF books, using GPT-3 or optional HuggingFace models to generate embeddings and answers. It requires Tesseract OCR and ImageMagick as prerequisites, with a required IMCONV environment variable setup for Windows users. The tool offers both command line and web interface (port 5006) options for querying indexed PDFs, and supports specifying custom start and end page ranges for processing.
Key features
- Conversational Q&A with PDF book content
- Supports GPT-3 and HuggingFace model options
- CLI and web interface (port 5006) for queries
- Generates searchable index for uploaded PDFs
- Supports custom start/end page ranges for PDFs
- Open source with MIT license and PyPI release
- Open source under MIT license, allowing modification and redistribution
- Offers both OpenAI GPT-3 and free HuggingFace model options
- Provides both CLI and web interface for querying indexed PDFs
- Requires Tesseract OCR and ImageMagick prerequisites to run
- Windows users must manually set the IMCONV environment variable
- OpenAI API usage incurs costs after the free trial period
TalkToPapers - namuan/dr-doc-search: Converse with book - Built with GPT-3 at a glance
- Category
- AI & Machine Learning › AI Search & Research
- Type
- Open-source project
- Pricing
- Not confirmed. Check the site
- Platforms
- Windows
- Open source
- Yes · Source code
- Language
- English
- Last checked
- Oct 6, 2026 · Online when checked
- Listed
- Oct 5, 2026
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TalkToPapers - namuan/dr-doc-search: Converse with book - Built with GPT-3 FAQ
What prerequisites are needed to run dr-doc-search?
Can dr-doc-search be used without an OpenAI API key?
What interfaces are available for querying indexed PDFs?
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