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Convert PDFs to Markdown and query them with AI, sources, and confidence scores.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "pdf-rag" yet — see the docs or source repo.
Convert this research paper PDF to Markdown, then answer: How do the authors define the core method? Include source attribution and a confidence score.
An answer based on the converted text, with cited sources and a confidence score.
Convert this contract PDF to Markdown, find the clauses about payment terms, and provide source attribution and confidence.
Relevant clause text with where it came from in the document and a confidence score.
Process this product manual PDF, then answer: What are the device initialization steps? Include source citations and a confidence score.
A step-by-step answer grounded in the manual, with citations and confidence information.
Researchers, students, or knowledge workers can convert PDFs to Markdown first and then ask questions about the content. This is useful for long documents such as papers, manuals, and reports.
When users need not just an answer but also where it came from, this tool provides source attribution and confidence scoring. It fits scenarios where accuracy and verifiability matter.
Developers can use the same PDF Q&A workflow across multiple supported LLM providers. This helps when integrating with an existing model stack or choosing based on cost preferences.
It converts PDF documents to Markdown and lets AI query their contents. Answers include source attribution and confidence scoring.
It is described as supporting multiple LLM providers, but the given material does not list them explicitly. For details, see the source repository.
The provided information does not include installation steps or clearly state whether API keys or a specific runtime are required. Please check the source repository for details.
Extract PDFs into Markdown, RAG chunks, and cited tables.
Convert PDFs to Markdown per page with confidence scoring for RAG ingestion.
Read and analyze PDF documents for natural language Q&A and extraction.
Convert PDFs into clean, LLM-ready Markdown with tables, formulas, and OCR.
Ingest PDFs, run semantic search, and answer questions with source citations.
Handle PDF conversion, merging, compression, OCR, redaction, and signing in AI.