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Market/Categories/Developer & AI Platform/TextRazor

Independent product intelligence · Worldwide · 2026-05-01 → 2026-07-31

TextRazortextrazor.com

No product description has been published for this domain yet. Everything below is measured directly.

Developer & AI Platformtextrazor.comTracked since 2026-08-191 discovery source
1.5KBacklinks
705Referring domains
22Domain authority
-7.2%Referring domains · 90 days

Authority & distribution

How strong is TextRazor’s web footprint?

Backlinks measure accumulated distribution; referring domains show how broadly that authority is spread. Both are observable on the open web, so both are published for every product here.

Backlinks

1.5KCurrent snapshot

Referring domains

705Current snapshot

Authority

22Domain authority · category median 22

90-day move

-7.2%Referring domains, last 90 days
At 22, TextRazor sits above the 22 median for its category.

Trajectory · Pro

The counts above are the latest of 370 daily observations. The curve through them is on the full profile.

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Traffic & engagement

Where TextRazor ranks

Measured · Pro

Measured for this product: global rank, country rank and category rank.

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AI referral visibility

Which AI assistants are already sending TextRazor traffic?

Measured · Pro

Measured for this product: AI referral traffic.

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Product profile

What TextRazor is selling.

Traffic makes more sense when you can connect it to the actual product promise.

“TextRazor”

No usable description reached this profile from any discovery source, so none is shown. The measured signals below are unaffected.

Developer & AI PlatformSeen 2026-08-19 → 2026-08-19Coverage tier C

What we have measured

4 of 8 signal groups are available for this product: identity, authority and backlinks, AI referrals, search demand.

Not measured for this domain: traffic and engagement, audience demographics, country distribution, acquisition mix. Those sections are left out of the page rather than filled with estimates.

Canonical website: https://www.textrazor.com

Observed across 1 discovery source.

Research questions

What the evidence answers about TextRazor.

Every answer is tied to a source we collected, and the questions with no evidence behind them are left unanswered rather than guessed.

What problem does TextRazor solve, and what is it used for?

TextRazor is a Natural Language Processing (NLP) API that helps developers extract meaning and structure from text content like documents, tweets, or web pages. It is used to perform deep text analysis, including entity extraction, classification, and relation detection, to enable semantic applications. The API is designed to analyze content with high accuracy and speed.

What are the key features and capabilities of the TextRazor API?

TextRazor offers features including entity extraction, disambiguation, and linking; keyphrase extraction; automatic topic tagging and classification. It supports classification to the full IAB Content and IPTC Media Topic Taxonomies. The API also provides deep analysis for relations, typed dependencies, and synonyms, and supports 19 languages.

How can TextRazor be deployed, and what does it include?

TextRazor provides a complete text analysis infrastructure that can be deployed as a cloud service or self-hosted. The service combines natural language processing techniques with a knowledgebase containing 36,584,406 known entities as of the model version dated 2026-07. It is available as an API with reference libraries for common development languages.

Who is TextRazor intended for?

TextRazor is intended for developers who are building applications that require advanced text analysis. The product provides API access, references for multiple programming languages (Python, PHP, Java), and a REST API, positioning it as a tool for technical teams. Its category is listed as Developer & AI Platform.

4 of 6 research questions are answered for this product. The rest need source evidence we have not collected yet, so they are left unanswered rather than guessed.

Behind the lock

Unlock full TextRazor intelligence.

  • Backlink trajectoryThe figures above are the latest observation. The daily curve behind them holds 370.
  • AI referral detailHow much traffic assistants send.
  • Search structure and ranking depthOrganic against paid, brand against non-brand, and how many keywords rank in the top three against the long tail — which is what decides whether the demand is portable or tied to the name.
  • The rest of the marketPage through every leaderboard 100 rows at a time, put any five products side by side, and query the whole dataset over API / MCP.

Worldwide estimates · Data period 2026-05-01 → 2026-07-31. Figures are measured estimates intended for market research. Signals we have not measured for this domain are omitted, never estimated; a measured zero is still reported as zero. How this was measured