inscriptis
inscriptis - HTML to text converter.
Decision gist · record as of 2026-08-14
Yes. Inscriptis is actively maintained, has no known vulnerabilities, installs with low friction, and solves a real problem—layout-aware HTML-to-text conversion—better than generic alternatives. Its Apache-2.0 license is permissive. Install it if you need text extraction from HTML where structure and layout matter; skip it if you only need basic text stripping.AI-flagged interpretation of the facts on this page — verify before relying
Before you install
- Requires Python 3.10 or later.
- Low friction: pure Python wheel with only two runtime dependencies (lxml, requests).
- Actively maintained with a release 4 days ago; repo shows 345 stars and continuous development.
License · maintenance · safety
Apache-2.0 (permissive) — Apache-2.0 permissive license allows use in commercial and proprietary projects with minimal restrictions; attribution required but no copyleft obligations.
last release 2026-08-10 (4 days) · last repo commit 2026-08-10 · 345 stars
0 known vulnerabilities (OSV.dev, 2026-08-14) · 1,345,082 downloads/mo, #4,023 on PyPI
Alternatives
Verify before relying
pip install inscriptis
import urllib.request
from inscriptis import get_text
html = urllib.request.urlopen('https://example.com').read().decode('utf-8')
text = get_text(html)
print(text)- Performance characteristics on very large HTML documents or batch processing scenarios.
- Actual CSS subset coverage and which specific properties are interpreted beyond those listed in the description.
What it is and what it does
Inscriptis is a Python library that converts HTML to plain text with awareness of document layout and structure. Unlike simple text extraction tools, it interprets HTML semantics (lists, tables, alignment) and a subset of CSS properties to produce text output that more closely resembles how a browser would render the page. This makes it particularly useful when the spatial arrangement of text matters—for knowledge extraction, NLP tasks, or data science work on web content.
The library provides three interfaces: a Python API for embedding in applications, a command-line tool for batch conversion of files or URLs, and support for annotated output where text can be tagged with semantic information from the original HTML structure. It handles complex constructs like nested tables and supports multiple output formats including XML and JSONL for compatibility with annotation tools.
Use it for
- Extract clean text from web pages for machine learning datasets or language model training while preserving document structure.
- Convert HTML email or web content to readable plain text for archival, search indexing, or accessibility purposes.
- Annotate extracted text with semantic labels derived from HTML tags and attributes for knowledge extraction or document classification tasks.
- Batch convert HTML files to text with layout-aware formatting for content migration or data pipeline preprocessing.
- Support qualitative analysis workflows by generating structured text output suitable for manual annotation in tools like doccano.
Worth the install?
AI-flagged interpretation of the facts on this page. Verify before relying on it.
Yes.
Inscriptis is actively maintained, has no known vulnerabilities, installs with low friction, and solves a real problem—layout-aware HTML-to-text conversion—better than generic alternatives. Its Apache-2.0 license is permissive. Install it if you need text extraction from HTML where structure and layout matter; skip it if you only need basic text stripping.
Install
inscriptis on PyPI
Before you install
Low friction: pure Python wheel with only two runtime dependencies (lxml, requests). Actively maintained with a release 4 days ago; repo shows 345 stars and continuous development.
Requires Python 3.10 or later.
License in practice
Apache-2.0 permissive license allows use in commercial and proprietary projects with minimal restrictions; attribution required but no copyleft obligations.
Quickstart
pip install inscriptis
import urllib.request
from inscriptis import get_text
html = urllib.request.urlopen('https://example.com').read().decode('utf-8')
text = get_text(html)
print(text)Verify before relying
- Performance characteristics on very large HTML documents or batch processing scenarios.
- Actual CSS subset coverage and which specific properties are interpreted beyond those listed in the description.
Package facts
| License | Apache-2.0 permissive |
| Python support | Supports the current Python release >=3.10 |
| Install friction | Low. Pure-Python wheel |
| Runtime dependencies | 2 packageslxmlrequests |
| Maintenance | Actively maintained 4 days since the last release |
| Last repo commit | |
| First released | |
| Downloads | 1,345,082 / month, #4,023 on PyPI 30-day window, as of 2026-08-14 |
| Known vulnerabilities | None known OSV.dev, checked 2026-08-14 |
| Classifiers | Development Status :: 5 - Production/StableIntended Audience :: DevelopersProgramming Language :: Python :: 3Programming Language :: Python :: 3.10Programming Language :: Python :: 3.11Programming Language :: Python :: 3.12Programming Language :: Python :: 3.13Programming Language :: Python :: 3.14Topic :: Text ProcessingTopic :: Text Processing :: Markup :: HTMLTopic :: Utilities |
Evidence: inscriptis-2.7.4-py3-none-any.whl
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