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Textsum

Textsum is a Python package that applies transformer summarization models to text documents. It provides a Python API for summarizing strings and files, a command-line interface for processing directories of text files, and a separate shareable demo app.

Explore the practical guide ↓

Independent OpenViST project profile, based on linked sources.

Textsum — OpenViST project profile in AI Developer Tools & SDKs.
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Understand the project

Practical overview

When it fits

Use Textsum when you want to run transformer-based summarization from a Python environment, either within code or over text files in a directory.

Who it is for

  • Python developers adding text summarization to an application or workflow.
  • Users who need to summarize one text file or a directory of text files from a terminal.

Documented uses

  • Generate a summary from a text string in Python.
  • Summarize a text file and save the result to a path.
  • Process a directory of text files through the CLI.
  • Adjust model, batching and summary-generation options through CLI flags.
Before you choose

Requirements & limits

The documented installation uses pip and requires Python 3.8 or later. The repository lists an Apache-2.0 license.

  • The default Summarizer loads a default model and parameters; CLI flags allow model and generation settings to be adjusted.
  • PDF OCR, the Gradio demo UI and Optimum are listed as optional extras, separate from the basic install.
  • The project offers a Python API and CLI; the README also identifies a shareable demo app as a distinct interface.

Check current requirements in the official documentation. Source-based guidance does not mean OpenViST has run or independently tested this project.

Source-based practical guide

Summarize a text string with the Python API

Install Textsum and call its default summarizer on a string.

Before you start

  • Python 3.8 or later
  • A Python environment with pip

Steps

  1. Install the package with the command below.

    Documented command
    pip install textsum

  2. Import Summarizer from textsum.summarize and instantiate it to load the default model and parameters.

  3. Call summarize_string(text) with the text to summarize.

Expected outcome

The API returns a summary string that can be printed or used by the calling application.

Guide limitations

  • This recipe covers text strings; PDF OCR and other optional capabilities require extras.
  • The repository documents the interface but this guide does not report an execution test.
Documentation 1 ↗
Source-based practical guide

Summarize a directory of text files from the CLI

Install Textsum and invoke its documented directory summarization command.

Before you start

  • Python 3.8 or later
  • A Python environment with pip
  • A directory containing text files

Steps

  1. Install the package with the command below.

    Documented command
    pip install textsum

  2. Open a terminal in the environment where Textsum is installed.

  3. Run textsum-dir /path/to/dir with the path to the directory of text files.

Expected outcome

The CLI runs a directory summarization workflow; its flags include options for output directory, model and batch settings.

Guide limitations

  • This guide reflects documented usage and is not an execution test.
Documentation 1 ↗
Evidence and transparency

Sources & review

Official repository ↗
Source record details
Source availability
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Sources checked
15 October 2026
Original website title
pszemraj/textsum · Official homepage title · retained in its source language
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