Who should use innertext?

innertext is an open-source project built for developers.

Does innertext have a free plan?

Yes — innertext is open source under the MIT license and free to use.

What platforms does innertext run on?

innertext runs on the command line. It can also be self-hosted.

Is innertext still maintained?

Unverified. innertext has not been re-checked since it entered the index, so there is no finding either way — and only a positive finding would say otherwise.

What projects are similar to innertext?

Similar projects tracked by PulseGate include metaclass-registry, mcp-docker, and Snippet Shortcodes.

Who develops innertext?

innertext is developed by Josh Fayer.

How long has innertext been around?

innertext first shipped in 2026.

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innertext

Name: innertext
Author: Josh Fayer

PyPIInfrastructure

innertext is a pure Rust library that provides WHATWG-compliant extraction of innerText, outerText, and textContent from HTML documents. It is designed for developers who need accurate and standards-based text extraction in their Rust projects. The library is open source and MIT licensed.

Open SourceMITCLISelf-hosted

Visit PyPI

Overview

5 features

innertext sits in PulseGate's Frameworks & SDKs category. It focuses on extracting accurate innerText and textContent from HTML documents in a standards-compliant way for developers. innertext is an open-source project aimed at developers. The project is open source (MIT). innertext is available on the command line, and it can be self-hosted.

Behind innertext is Josh Fayer, and it first shipped in 2026. Among its 5 catalogued features are text extraction, WHATWG compliance, and rust implementation.

Summary written by a language model from the project’s public pages.

Text extraction
WHATWG compliance
Rust implementation
HTML parsing
MIT license

Built with & integrations

Runs on

CLISelf-hosted

Trust & compliance

License

MIT

Verified signals

HTTPSOpen SourceFree tierGitHub

Indexing history

What PulseGate has recorded for this listing

Indexed10 Jul · 20:14 UTC
innertext verified against its public source
Source: PulseGate · Open

Frequently asked questions about innertext

What does innertext do?: Innertext focuses on extracting accurate innerText and textContent from HTML documents in a standards-compliant way for developers. It is catalogued under Frameworks & SDKs on PulseGate.
Who should use innertext?: innertext is an open-source project built for developers.
Does innertext have a free plan?: Yes — innertext is open source under the MIT license and free to use.
What platforms does innertext run on?: innertext runs on the command line. It can also be self-hosted.
Is innertext still maintained?: Unverified. innertext has not been re-checked since it entered the index, so there is no finding either way — and only a positive finding would say otherwise.
What projects are similar to innertext?: Similar projects tracked by PulseGate include metaclass-registry, mcp-docker, and Snippet Shortcodes.metaclass-registry mcp-docker Snippet Shortcodes
Who develops innertext?: innertext is developed by Josh Fayer.
How long has innertext been around?: innertext first shipped in 2026.

At a glance

Platforms: Cli
Languages: English
Open source: Yes (GitHub)
License: MIT
First seen: 10 Jul 2026
Built for: developers
Model: Open source
Solves: Extracting accurate innerText and textContent from HTML documents in a standards-compliant way for developers.

Registered as

GitHub: joshfayer/innertext
PyPI: innertext

Developer

Josh Fayer

GitHub

Open source

View on GitHub

Live coverage

Identity confidence: Low · 64
Indexed: 10 Jul 2026
Lifecycle: Unverified
First seen: Jul 2026
Last seen: 10 Jul 2026

Identity audit (12)

Slug: innertext-pypi-org
Verification state: Indexed for public listing
Listing state: Listed: yes
Index status: Included in index
Latest evidence snapshot: 10 Jul 2026
Timeline basis: Indexed-at chronology (no inferred launch/funding milestones).
Name from: Written by a language model from the project's public pages.
Category from: Assigned by a language model.
Summary from: Written by a language model from public pages.
Languages from: Detected by a language model from page content.
Last updated: 13 Jul 2026
Canonical URL: https://pypi.org/project/innertext

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