Frontend Frameworks

Twitter-text

JavaScript library for processing text according to Twitter's rules.

Status
UnmaintainedNo commits in 1769 days.
Last checked
Checked · Oct 13, 2026
License
Open source
Pricing
Free tier · from $0

What it is

A JavaScript implementation of Twitter's text processing library that helps developers handle text in a way consistent with Twitter’s standards, including URL normalization and hashtag parsing. It is essential for applications needing to mimic Twitter's text handling behavior.

Twitter-text stands out as the authoritative library for handling text according to Twitter’s specific standards, offering precise control over URL normalization and hashtag parsing.

When it fits — and when it doesn’t

A good fit for

  • Developers building applications that need to handle text in a way consistent with Twitter’s standards, such as URL normalization and hashtag parsing.

  • Teams working on social media analytics tools who want to ensure their text processing aligns with Twitter's rules.

Look elsewhere if

  • Projects requiring real-time text processing at scale where performance is critical.

  • Applications that need extensive natural language understanding beyond basic text formatting.

Known weaknesses

Each one links to the public issue, changelog or docs page it came from, where we have one.

  1. 01

    Limited language support

    Twitter-text is primarily a JavaScript library, which limits its utility for developers working in other languages.

  2. 02

    Complex setup for non-trivial applications

    Integrating Twitter-text into larger projects can require significant configuration to handle edge cases and ensure consistency with Twitter's standards.

  3. 03

    Performance issues at scale

    Processing large volumes of text may lead to performance bottlenecks, especially when handling complex URL normalization and hashtag parsing tasks.

  4. 04

    Small community and limited support

    As an open-source project with a niche focus, Twitter-text has a relatively small user base which can result in fewer contributions and slower response times for issues.

What it does well

  • URL normalization according to Twitter's standards.

  • Hashtag parsing and validation.

  • Mention detection and handling.

  • Support for custom rules through configuration options.

Pricing

Free tier
YesOpen source — free to use
Paid from
$0
Model
Flat rate
Enterprise plan
No

Pricing not independently confirmed — check the vendor’s page.

Performance benchmarks

How Fast Is It?

Set up Twitter-text

Setup steps, common gotchas and what to check after 30 days.

Open the setup guide →
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Twitter-text — tracked on AI Navigator

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