langchain-text-summarization and DocQA-TextSummarization-App

These are complementary tools that address overlapping but distinct document processing tasks—one focuses purely on text summarization via LangChain, while the other combines summarization with document question-answering capabilities in a single Streamlit application.

langchain-text-summarization
37
Emerging
DocQA-TextSummarization-App
34
Emerging
Maintenance 0/25
Adoption 7/25
Maturity 8/25
Community 22/25
Maintenance 0/25
Adoption 4/25
Maturity 16/25
Community 14/25
Stars: 37
Forks: 51
Downloads: —
Commits (30d): 0
Language: Python
License: —
Stars: 5
Forks: 3
Downloads: —
Commits (30d): 0
Language: Jupyter Notebook
License: Apache-2.0
No License Stale 6m No Package No Dependents
Stale 6m No Package No Dependents

About langchain-text-summarization

dataprofessor/langchain-text-summarization

Text Summarization App built using Langchain and Streamlit

This tool helps you quickly condense long pieces of writing into shorter, easier-to-digest summaries. You paste in a lengthy paragraph or document, and it provides a concise summary, highlighting the main points. It's ideal for anyone who needs to grasp key information from large texts without reading every word, such as researchers, students, or content creators.

content-analysis reading-comprehension research-assist information-digestion

About DocQA-TextSummarization-App

saadkh1/DocQA-TextSummarization-App

A Streamlit app for document question answering and text summarization.

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langchain-text-summarization and PDF-Summarizer

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